| Year |
Citation |
Score |
| Low-probability matches (unlikely to be authored by this person) |
| 2024 |
Fayed AE, Menten MJ, Kreitner L, Paetzold JC, Rueckert D, Bassily SM, Fikry RR, Hagag AM, Sivaprasad S. Retinal vasculature of different diameters and plexuses exhibit distinct vulnerability in varying severity of diabetic retinopathy. Eye (London, England). PMID 38514853 DOI: 10.1038/s41433-024-03021-4 |
0.01 |
|
| 2024 |
Martens E, Haase HU, Mastella G, Henkel A, Spinner C, Hahn F, Zou C, Fava Sanches A, Allescher J, Heid D, Strauss E, Maier MM, Lachmann M, Schmidt G, Westphal D, ... ... Rueckert D, et al. Smart hospital: achieving interoperability and raw data collection from medical devices in clinical routine. Frontiers in Digital Health. 6: 1341475. PMID 38510279 DOI: 10.3389/fdgth.2024.1341475 |
0.01 |
|
| 2024 |
Shen C, Roth HR, Hayashi Y, Oda M, Sato G, Miyamoto T, Rueckert D, Mori K. Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT. International Journal of Computer Assisted Radiology and Surgery. PMID 38498132 DOI: 10.1007/s11548-023-03049-z |
0.01 |
|
| 2024 |
Weidner J, Ezhov I, Balcerak M, Metz MC, Litvinov S, Kaltenbach S, Feiner L, Lux L, Kofler F, Lipkova J, Latz J, Rueckert D, Menze B, Wiestler B. A Learnable Prior Improves Inverse Tumor Growth Modeling. Arxiv. PMID 38495563 |
0.01 |
|
| 2024 |
Hinterwimmer F, Serena RS, Wilhelm N, Breden S, Consalvo S, Seidl F, Juestel D, Burgkart RHH, Woertler K, von Eisenhart-Rothe R, Neumann J, Rueckert D. Recommender-based bone tumour classification with radiographs-a link to the past. European Radiology. PMID 38488971 DOI: 10.1007/s00330-024-10672-0 |
0.01 |
|
| 2024 |
Tayebi Arasteh S, Ziller A, Kuhl C, Makowski M, Nebelung S, Braren R, Rueckert D, Truhn D, Kaissis G. Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging. Communications Medicine. 4: 46. PMID 38486100 DOI: 10.1038/s43856-024-00462-6 |
0.01 |
|
| 2024 |
Pan J, Huang W, Rueckert D, Kustner T, Hammernik K. Reconstruction-driven motion estimation for motion-compensated MR CINE imaging. Ieee Transactions On Medical Imaging. PMID 38354077 DOI: 10.1109/TMI.2024.3364504 |
0.01 |
|
| 2024 |
Rueckert T, Rueckert D, Palm C. Corrigendum to "Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art" [Comput. Biol. Med. 169 (2024) 107929]. Computers in Biology and Medicine. 108027. PMID 38341325 DOI: 10.1016/j.compbiomed.2024.108027 |
0.01 |
|
| 2024 |
Guermazi A, Omoumi P, Tordjman M, Fritz J, Kijowski R, Regnard NE, Carrino J, Kahn CE, Knoll F, Rueckert D, Roemer FW, Hayash D. Erratum for: How AI May Transform Musculoskeletal Imaging. Radiology. 310: e249002. PMID 38289220 DOI: 10.1148/radiol.249002 |
0.01 |
|
| 2024 |
Küstner T, Hammernik K, Rueckert D, Hepp T, Gatidis S. Predictive uncertainty in deep learning-based MR image reconstruction using deep ensembles: Evaluation on the fastMRI data set. Magnetic Resonance in Medicine. PMID 38282254 DOI: 10.1002/mrm.30030 |
0.01 |
|
| 2024 |
Kreitner L, Paetzold JC, Rauch N, Chen C, Hagag AM, Fayed AE, Sivaprasad S, Rausch S, Weichsel J, Menze BH, Harders M, Knier B, Rueckert D, Menten MJ. Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations. Ieee Transactions On Medical Imaging. PMID 38224512 DOI: 10.1109/TMI.2024.3354408 |
0.01 |
|
| 2024 |
Rueckert T, Rueckert D, Palm C. Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art. Computers in Biology and Medicine. 169: 107929. PMID 38184862 DOI: 10.1016/j.compbiomed.2024.107929 |
0.01 |
|
| 2024 |
Guermazi A, Omoumi P, Tordjman M, Fritz J, Kijowski R, Regnard NE, Carrino J, Kahn CE, Knoll F, Rueckert D, Roemer FW, Hayashi D. How AI May Transform Musculoskeletal Imaging. Radiology. 310: e230764. PMID 38165245 DOI: 10.1148/radiol.230764 |
0.01 |
|
| 2023 |
Yang K, Musio F, Ma Y, Juchler N, Paetzold JC, Al-Maskari R, Höher L, Li HB, Hamamci IE, Sekuboyina A, Shit S, Huang H, Waldmannstetter D, Kofler F, Navarro F, ... ... Rueckert D, et al. Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. Arxiv. PMID 38235066 |
0.01 |
|
| 2023 |
Meng Q, Bai W, O'Regan DP, Rueckert D. DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning. Ieee Transactions On Medical Imaging. PMID 38064325 DOI: 10.1109/TMI.2023.3340118 |
0.01 |
|
| 2023 |
Wiltgen T, McGinnis J, Schlaeger S, Voon C, Berthele A, Bischl D, Grundl L, Will N, Metz M, Schinz D, Sepp D, Prucker P, Schmitz-Koep B, Zimmer C, Menze B, ... Rueckert D, et al. LST-AI: a Deep Learning Ensemble for Accurate MS Lesion Segmentation. Medrxiv : the Preprint Server For Health Sciences. PMID 38045345 DOI: 10.1101/2023.11.23.23298966 |
0.01 |
|
| 2023 |
Graf R, Schmitt J, Schlaeger S, Möller HK, Sideri-Lampretsa V, Sekuboyina A, Krieg SM, Wiestler B, Menze B, Rueckert D, Kirschke JS. Denoising diffusion-based MRI to CT image translation enables automated spinal segmentation. European Radiology Experimental. 7: 70. PMID 37957426 DOI: 10.1186/s41747-023-00385-2 |
0.01 |
|
| 2023 |
Qiao M, Wang S, Qiu H, De Marvao A, O'Regan DP, Rueckert D, Bai W. CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy. Ieee Transactions On Medical Imaging. PMID 37948142 DOI: 10.1109/TMI.2023.3331982 |
0.01 |
|
| 2023 |
Leingang O, Riedl S, Mai J, Reiter GS, Faustmann G, Fuchs P, Scholl HPN, Sivaprasad S, Rueckert D, Lotery A, Schmidt-Erfurth U, Bogunović H. Automated deep learning-based AMD detection and staging in real-world OCT datasets (PINNACLE study report 5). Scientific Reports. 13: 19545. PMID 37945665 DOI: 10.1038/s41598-023-46626-7 |
0.01 |
|
| 2023 |
Pan J, Hamdi M, Huang W, Hammernik K, Kuestner T, Rueckert D. Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI. Medical Image Analysis. 91: 103017. PMID 37924751 DOI: 10.1016/j.media.2023.103017 |
0.01 |
|
| 2023 |
Hagag AM, Kaye R, Hoang V, Riedl S, Anders P, Stuart B, Traber G, Appenzeller-Herzog C, Schmidt-Erfurth U, Bogunovic H, Scholl HP, Prevost T, Fritsche L, Rueckert D, Sivaprasad S, et al. Systematic review of prognostic factors associated with progression to late age-related macular degeneration: Pinnacle study report 2. Survey of Ophthalmology. PMID 37890677 DOI: 10.1016/j.survophthal.2023.10.010 |
0.01 |
|
| 2023 |
Spieker V, Eichhorn H, Hammernik K, Rueckert D, Preibisch C, Karampinos DC, Schnabel JA. Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review. Ieee Transactions On Medical Imaging. PMID 37831582 DOI: 10.1109/TMI.2023.3323215 |
0.01 |
|
| 2023 |
Raab R, Küderle A, Zakreuskaya A, Stern AD, Klucken J, Kaissis G, Rueckert D, Boll S, Eils R, Wagener H, Eskofier BM. Federated electronic health records for the European Health Data Space. The Lancet. Digital Health. 5: e840-e847. PMID 37741765 DOI: 10.1016/S2589-7500(23)00156-5 |
0.01 |
|
| 2023 |
Buchner JA, Peeken JC, Etzel L, Ezhov I, Mayinger M, Christ SM, Brunner TB, Wittig A, Menze B, Zimmer C, Meyer B, Guckenberger M, Andratschke N, El Shafie RA, Debus J, ... ... Rueckert D, et al. Identifying core MRI sequences for reliable automatic brain metastasis segmentation. Radiotherapy and Oncology : Journal of the European Society For Therapeutic Radiology and Oncology. 109901. PMID 37678623 DOI: 10.1016/j.radonc.2023.109901 |
0.01 |
|
| 2023 |
Taylor TRP, Menten MJ, Rueckert D, Sivaprasad S, Lotery AJ. The role of the retinal vasculature in age-related macular degeneration: a spotlight on OCTA. Eye (London, England). PMID 37673970 DOI: 10.1038/s41433-023-02721-7 |
0.01 |
|
| 2023 |
Anders P, Traber GL, Pfau M, Riedl S, Hagag AM, Camenzind H, Mai J, Kaye R, Bogunovic H, Fritsche LG, Rueckert D, Schmidt-Erfurth U, Sivaprasad S, Lotery AJ, Scholl HPN. Comparison of Novel Volumetric Microperimetry Metrics in Intermediate Age-Related Macular Degeneration: PINNACLE Study Report 3. Translational Vision Science & Technology. 12: 21. PMID 37624605 DOI: 10.1167/tvst.12.8.21 |
0.01 |
|
| 2023 |
Al-Jibury E, King JWD, Guo Y, Lenhard B, Fisher AG, Merkenschlager M, Rueckert D. A deep learning method for replicate-based analysis of chromosome conformation contacts using Siamese neural networks. Nature Communications. 14: 5007. PMID 37591842 DOI: 10.1038/s41467-023-40547-9 |
0.01 |
|
| 2023 |
Sitaru S, Oueslati T, Schielein MC, Weis J, Kaczmarczyk R, Rueckert D, Biedermann T, Zink A. [Automatische Körperteil-Identifikation in dermatologischen klinischen Bildern durch maschinelles Lernen]. Journal Der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : Jddg. 21: 863-871. PMID 37574684 DOI: 10.1111/ddg.15113_g |
0.01 |
|
| 2023 |
Lagogiannis I, Meissen F, Kaissis G, Rueckert D. Unsupervised Pathology Detection: A Deep Dive Into the State of the Art. Ieee Transactions On Medical Imaging. PMID 37506004 DOI: 10.1109/TMI.2023.3298093 |
0.01 |
|
| 2023 |
Wright R, Gomez A, Zimmer VA, Toussaint N, Khanal B, Matthew J, Skelton E, Kainz B, Rueckert D, Hajnal JV, Schnabel JA. Fast fetal head compounding from multi-view 3D ultrasound. Medical Image Analysis. 89: 102793. PMID 37482034 DOI: 10.1016/j.media.2023.102793 |
0.01 |
|
| 2023 |
Föllmer B, Williams MC, Dey D, Arbab-Zadeh A, Maurovich-Horvat P, Volleberg RHJA, Rueckert D, Schnabel JA, Newby DE, Dweck MR, Guagliumi G, Falk V, Vázquez Mézquita AJ, Biavati F, Išgum I, et al. Roadmap on the use of artificial intelligence for imaging of vulnerable atherosclerotic plaque in coronary arteries. Nature Reviews. Cardiology. PMID 37464183 DOI: 10.1038/s41569-023-00900-3 |
0.01 |
|
| 2023 |
Meiser P, Knolle MA, Hirschberger A, de Almeida GP, Bayerl F, Lacher S, Pedde AM, Flommersfeld S, Hönninger J, Stark L, Stögbauer F, Anton M, Wirth M, Wohlleber D, Steiger K, ... ... Rueckert D, et al. A distinct stimulatory cDC1 subpopulation amplifies CD8 T cell responses in tumors for protective anti-cancer immunity. Cancer Cell. PMID 37451271 DOI: 10.1016/j.ccell.2023.06.008 |
0.01 |
|
| 2023 |
Karolis VR, Fitzgibbon SP, Cordero-Grande L, Farahibozorg SR, Price AN, Hughes EJ, Fetit AE, Kyriakopoulou V, Pietsch M, Rutherford MA, Rueckert D, Hajnal JV, Edwards AD, O'Muircheartaigh J, Duff EP, et al. Maturational networks of human fetal brain activity reveal emerging connectivity patterns prior to ex-utero exposure. Communications Biology. 6: 661. PMID 37349403 DOI: 10.1038/s42003-023-04969-x |
0.01 |
|
| 2023 |
Marcus A, Bentley P, Rueckert D. Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network. Ieee Transactions On Medical Imaging. PMID 37335797 DOI: 10.1109/TMI.2023.3287361 |
0.01 |
|
| 2023 |
Sitaru S, Oueslati T, Schielein MC, Weis J, Kaczmarczyk R, Rueckert D, Biedermann T, Zink A. Automatic body part identification in real-world clinical dermatological images using machine learning. Journal Der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : Jddg. PMID 37306036 DOI: 10.1111/ddg.15113 |
0.01 |
|
| 2023 |
Hammernik K, Küstner T, Yaman B, Huang Z, Rueckert D, Knoll F, Akçakaya M. Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging. Ieee Signal Processing Magazine. 40: 98-114. PMID 37304755 DOI: 10.1109/msp.2022.3215288 |
0.01 |
|
| 2023 |
Menten MJ, Holland R, Leingang O, Bogunović H, Hagag AM, Kaye R, Riedl S, Traber GL, Hassan ON, Pawlowski N, Glocker B, Fritsche LG, Scholl HPN, Sivaprasad S, Schmidt-Erfurth U, ... Rueckert D, et al. Exploring Healthy Retinal Aging with Deep Learning. Ophthalmology Science. 3: 100294. PMID 37113474 DOI: 10.1016/j.xops.2023.100294 |
0.01 |
|
| 2023 |
Cruz G, Hammernik K, Kuestner T, Velasco C, Hua A, Ismail TF, Rueckert D, Botnar RM, Prieto C. Single-heartbeat cardiac cine imaging via jointly regularized non-rigid motion corrected reconstruction. Nmr in Biomedicine. e4942. PMID 36999225 DOI: 10.1002/nbm.4942 |
0.01 |
|
| 2023 |
Dahan S, Fawaz A, Suliman MA, da Silva M, Williams LZJ, Rueckert D, Robinson EC. The Multiscale Surface Vision Transformer. Arxiv. PMID 36994163 |
0.01 |
|
| 2023 |
Williams LZJ, Fitzgibbon SP, Bozek J, Winkler AM, Dimitrova R, Poppe T, Schuh A, Makropoulos A, Cupitt J, O'Muircheartaigh J, Duff EP, Cordero-Grande L, Price AN, Hajnal JV, Rueckert D, et al. Structural and functional asymmetry of the neonatal cerebral cortex. Nature Human Behaviour. PMID 36928781 DOI: 10.1038/s41562-023-01542-8 |
0.01 |
|
| 2022 |
Mueller TT, Paetzold JC, Prabhakar C, Usynin D, Rueckert D, Kaissis G. Differentially Private Graph Neural Networks for Whole-Graph Classification. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 37015371 DOI: 10.1109/TPAMI.2022.3228315 |
0.01 |
|
| 2022 |
Gatidis S, Kart T, Fischer M, Winzeck S, Glocker B, Bai W, Bülow R, Emmel C, Friedrich L, Kauczor HU, Keil T, Kröncke T, Mayer P, Niendorf T, Peters A, ... ... Rueckert D, et al. Better Together: Data Harmonization and Cross-Study Analysis of Abdominal MRI Data From UK Biobank and the German National Cohort. Investigative Radiology. PMID 36729536 DOI: 10.1097/RLI.0000000000000941 |
0.01 |
|
| 2022 |
Lachmann M, Rippen E, Rueckert D, Schuster T, Xhepa E, von Scheidt M, Pellegrini C, Trenkwalder T, Rheude T, Stundl A, Thalmann R, Harmsen G, Yuasa S, Schunkert H, Kastrati A, et al. Harnessing feature extraction capacities from a pre-trained convolutional neural network (VGG-16) for the unsupervised distinction of aortic outflow velocity profiles in patients with severe aortic stenosis. European Heart Journal. Digital Health. 3: 153-168. PMID 36713009 DOI: 10.1093/ehjdh/ztac004 |
0.01 |
|
| 2022 |
Neubauer A, Menegaux A, Wendt J, Li HB, Schmitz-Koep B, Ruzok T, Thalhammer M, Schinz D, Bartmann P, Wolke D, Priller J, Zimmer C, Rueckert D, Hedderich DM, Sorg C. Aberrant claustrum structure in preterm-born neonates: an MRI study. Neuroimage. Clinical. 37: 103286. PMID 36516730 DOI: 10.1016/j.nicl.2022.103286 |
0.01 |
|
| 2022 |
Ouyang C, Chen C, Li S, Li Z, Qin C, Bai W, Rueckert D. Causality-inspired Single-source Domain Generalization for Medical Image Segmentation. Ieee Transactions On Medical Imaging. PMID 36417741 DOI: 10.1109/TMI.2022.3224067 |
0.01 |
|
| 2022 |
Fenn-Moltu S, Fitzgibbon SP, Ciarrusta J, Eyre M, Cordero-Grande L, Chew A, Falconer S, Gale-Grant O, Harper N, Dimitrova R, Vecchiato K, Fenchel D, Javed A, Earl M, Price AN, ... ... Rueckert D, et al. Development of neonatal brain functional centrality and alterations associated with preterm birth. Cerebral Cortex (New York, N.Y. : 1991). PMID 36408638 DOI: 10.1093/cercor/bhac444 |
0.01 |
|
| 2022 |
Qin C, Wang S, Chen C, Bai W, Rueckert D. Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior. Medical Image Analysis. 83: 102682. PMID 36403311 DOI: 10.1016/j.media.2022.102682 |
0.01 |
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| 2022 |
Kart T, Fischer M, Winzeck S, Glocker B, Bai W, Bülow R, Emmel C, Friedrich L, Kauczor HU, Keil T, Kröncke T, Mayer P, Niendorf T, Peters A, Pischon T, ... ... Rueckert D, et al. Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort Studies. Scientific Reports. 12: 18733. PMID 36333523 DOI: 10.1038/s41598-022-23632-9 |
0.01 |
|
| 2022 |
Hinterwimmer F, Consalvo S, Wilhelm N, Seidl F, Burgkart RHH, von Eisenhart-Rothe R, Rueckert D, Neumann J. SAM-X: sorting algorithm for musculoskeletal x-ray radiography. European Radiology. PMID 36307553 DOI: 10.1007/s00330-022-09184-6 |
0.01 |
|
| 2022 |
Zimmer VA, Gomez A, Skelton E, Wright R, Wheeler G, Deng S, Ghavami N, Lloyd K, Matthew J, Kainz B, Rueckert D, Hajnal JV, Schnabel JA. Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view. Medical Image Analysis. 83: 102639. PMID 36257132 DOI: 10.1016/j.media.2022.102639 |
0.01 |
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| 2022 |
Guo Y, Al-Jibury E, Garcia-Millan R, Ntagiantas K, King JWD, Nash AJ, Galjart N, Lenhard B, Rueckert D, Fisher AG, Pruessner G, Merkenschlager M. Chromatin jets define the properties of cohesin-driven in vivo loop extrusion. Molecular Cell. PMID 36182691 DOI: 10.1016/j.molcel.2022.09.003 |
0.01 |
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| 2022 |
Chen C, Qin C, Ouyang C, Li Z, Wang S, Qiu H, Chen L, Tarroni G, Bai W, Rueckert D. Enhancing MR image segmentation with realistic adversarial data augmentation. Medical Image Analysis. 82: 102597. PMID 36095907 DOI: 10.1016/j.media.2022.102597 |
0.01 |
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| 2022 |
Ma Q, Li L, Robinson EC, Kainz B, Rueckert D, Alansary A. CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs. Ieee Transactions On Medical Imaging. PMID 36094986 DOI: 10.1109/TMI.2022.3206221 |
0.01 |
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| 2022 |
Consalvo S, Hinterwimmer F, Neumann J, Steinborn M, Salzmann M, Seidl F, Lenze U, Knebel C, Rueckert D, Burgkart RHH. Two-Phase Deep Learning Algorithm for Detection and Differentiation of Ewing Sarcoma and Acute Osteomyelitis in Paediatric Radiographs. Anticancer Research. 42: 4371-4380. PMID 36039445 DOI: 10.21873/anticanres.15937 |
0.01 |
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| 2022 |
Sutton J, Menten MJ, Riedl S, Bogunović H, Leingang O, Anders P, Hagag AM, Waldstein S, Wilson A, Cree AJ, Traber G, Fritsche LG, Scholl H, Rueckert D, Schmidt-Erfurth U, et al. Correction: Developing and validating a multivariable prediction model which predicts progression of intermediate to late age-related macular degeneration-the PINNACLE trial protocol. Eye (London, England). PMID 35953562 DOI: 10.1038/s41433-022-02131-1 |
0.01 |
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| 2022 |
Hinterwimmer F, Consalvo S, Neumann J, Rueckert D, von Eisenhart-Rothe R, Burgkart R. Applications of machine learning for imaging-driven diagnosis of musculoskeletal malignancies-a scoping review. European Radiology. PMID 35852574 DOI: 10.1007/s00330-022-08981-3 |
0.01 |
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| 2022 |
Zhuang X, Xu J, Luo X, Chen C, Ouyang C, Rueckert D, Campello VM, Lekadir K, Vesal S, RaviKumar N, Liu Y, Luo G, Chen J, Li H, Ly B, et al. Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Analysis. 81: 102528. PMID 35834896 DOI: 10.1016/j.media.2022.102528 |
0.01 |
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| 2022 |
Edwards AD, Rueckert D, Smith SM, Abo Seada S, Alansary A, Almalbis J, Allsop J, Andersson J, Arichi T, Arulkumaran S, Bastiani M, Batalle D, Baxter L, Bozek J, Braithwaite E, et al. The Developing Human Connectome Project Neonatal Data Release. Frontiers in Neuroscience. 16: 886772. PMID 35677357 DOI: 10.3389/fnins.2022.886772 |
0.01 |
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| 2022 |
Ciarrusta J, Christiaens D, Fitzgibbon SP, Dimitrova R, Hutter J, Hughes E, Duff E, Price AN, Cordero-Grande L, Tournier JD, Rueckert D, Hajnal JV, Arichi T, McAlonan G, Edwards AD, et al. The developing brain structural and functional connectome fingerprint. Developmental Cognitive Neuroscience. 55: 101117. PMID 35662682 DOI: 10.1016/j.dcn.2022.101117 |
0.01 |
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| 2022 |
Ziller A, Mueller TT, Braren R, Rueckert D, Kaissis G. Privacy: An Axiomatic Approach. Entropy (Basel, Switzerland). 24. PMID 35626597 DOI: 10.3390/e24050714 |
0.01 |
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| 2022 |
Sutton J, Menten MJ, Riedl S, Bogunović H, Leingang O, Anders P, Hagag AM, Waldstein S, Wilson A, Cree AJ, Traber G, Fritsche LG, Scholl H, Rueckert D, Schmidt-Erfurth U, et al. Developing and validating a multivariable prediction model which predicts progression of intermediate to late age-related macular degeneration-the PINNACLE trial protocol. Eye (London, England). PMID 35614343 DOI: 10.1038/s41433-022-02097-0 |
0.01 |
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| 2022 |
Taoudi-Benchekroun Y, Christiaens D, Grigorescu I, Gale-Grant O, Schuh A, Pietsch M, Chew A, Harper N, Falconer S, Poppe T, Hughes E, Hutter J, Price AN, Tournier JD, Cordero-Grande L, ... ... Rueckert D, et al. Predicting age and clinical risk from the neonatal connectome. Neuroimage. 119319. PMID 35589001 DOI: 10.1016/j.neuroimage.2022.119319 |
0.01 |
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| 2022 |
Thanaj M, Mielke J, McGurk KA, Bai W, Savioli N, de Marvao A, Meyer HV, Zeng L, Sohler F, Lumbers RT, Wilkins MR, Ware JS, Bender C, Rueckert D, MacNamara A, et al. Genetic and environmental determinants of diastolic heart function. Nature Cardiovascular Research. 1: 361-371. PMID 35479509 DOI: 10.1038/s44161-022-00048-2 |
0.01 |
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| 2022 |
Dou Q, So TY, Jiang M, Liu Q, Vardhanabhuti V, Kaissis G, Li Z, Si W, Lee HHC, Yu K, Feng Z, Dong L, Burian E, Jungmann F, Braren R, ... ... Rueckert D, et al. Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. Npj Digital Medicine. 5: 56. PMID 35462562 DOI: 10.1038/s41746-022-00600-1 |
0.01 |
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| 2022 |
Hinterwimmer F, Lazic I, Langer S, Suren C, Charitou F, Hirschmann MT, Matziolis G, Seidl F, Pohlig F, Rueckert D, Burgkart R, von Eisenhart-Rothe R. Prediction of complications and surgery duration in primary TKA with high accuracy using machine learning with arthroplasty-specific data. Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the Esska. PMID 35394135 DOI: 10.1007/s00167-022-06957-w |
0.01 |
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| 2022 |
Fenchel D, Dimitrova R, Robinson EC, Batalle D, Chew A, Falconer S, Kyriakopoulou V, Nosarti C, Hutter J, Christiaens D, Pietsch M, Brandon J, Hughes EJ, Allsop J, O'Keeffe C, ... ... Rueckert D, et al. Neonatal multi-modal cortical profiles predict 18-month developmental outcomes. Developmental Cognitive Neuroscience. 54: 101103. PMID 35364447 DOI: 10.1016/j.dcn.2022.101103 |
0.01 |
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| 2022 |
Falkai P, Koutsouleris N, Bertsch K, Bialas M, Binder E, Bühner M, Buyx A, Cai N, Cappello S, Ehring T, Gensichen J, Hamann J, Hasan A, Henningsen P, Leucht S, ... ... Rueckert D, et al. Concept of the Munich/Augsburg Consortium Precision in Mental Health for the German Center of Mental Health. Frontiers in Psychiatry. 13: 815718. PMID 35308871 DOI: 10.3389/fpsyt.2022.815718 |
0.01 |
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| 2022 |
Davies RH, Augusto JB, Bhuva A, Xue H, Treibel TA, Ye Y, Hughes RK, Bai W, Lau C, Shiwani H, Fontana M, Kozor R, Herrey A, Lopes LR, Maestrini V, ... ... Rueckert D, et al. Precision measurement of cardiac structure and function in cardiovascular magnetic resonance using machine learning. Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society For Cardiovascular Magnetic Resonance. 24: 16. PMID 35272664 DOI: 10.1186/s12968-022-00846-4 |
0.01 |
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| 2022 |
Meng Q, Qin C, Bai W, Liu T, De Marvao A, O'Regan DP, Rueckert D. MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI. Ieee Transactions On Medical Imaging. PMID 35201985 DOI: 10.1109/TMI.2022.3154599 |
0.01 |
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| 2022 |
Ouyang C, Biffi C, Chen C, Kart T, Qiu H, Rueckert D. Self-supervised Learning for Few-shot Medical Image Segmentation. Ieee Transactions On Medical Imaging. PMID 35139014 DOI: 10.1109/TMI.2022.3150682 |
0.01 |
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| 2022 |
Nasirigerdeh R, Torkzadehmahani R, Matschinske J, Frisch T, List M, Späth J, Weiss S, Völker U, Pitkänen E, Heider D, Wenke NK, Kaissis G, Rueckert D, Kacprowski T, Baumbach J. sPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies. Genome Biology. 23: 32. PMID 35073941 DOI: 10.1186/s13059-021-02562-1 |
0.01 |
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| 2022 |
Liu T, Meng Q, Huang JJ, Vlontzos A, Rueckert D, Kainz B. Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 31: 1573-1586. PMID 35073266 DOI: 10.1109/TIP.2022.3143699 |
0.01 |
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| 2022 |
Hinterwimmer F, Lazic I, Suren C, Hirschmann MT, Pohlig F, Rueckert D, Burgkart R, von Eisenhart-Rothe R. Machine learning in knee arthroplasty: specific data are key-a systematic review. Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the Esska. 30: 376-388. PMID 35006281 DOI: 10.1007/s00167-021-06848-6 |
0.01 |
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| 2021 |
Zhou SK, Greenspan H, Davatzikos C, Duncan JS, van Ginneken B, Madabhushi A, Prince JL, Rueckert D, Summers RM. A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises. Proceedings of the Ieee. Institute of Electrical and Electronics Engineers. 109: 820-838. PMID 37786449 DOI: 10.1109/JPROC.2021.3054390 |
0.01 |
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| 2021 |
Gale-Grant O, Fenn-Moltu S, França LGS, Dimitrova R, Christiaens D, Cordero-Grande L, Chew A, Falconer S, Harper N, Price AN, Hutter J, Hughes E, O'Muircheartaigh J, Rutherford M, Counsell SJ, ... Rueckert D, et al. Effects of gestational age at birth on perinatal structural brain development in healthy term-born babies. Human Brain Mapping. PMID 34897872 DOI: 10.1002/hbm.25743 |
0.01 |
|
| 2021 |
Matthew J, Skelton E, Day TG, Zimmer VA, Gomez A, Wheeler G, Toussaint N, Liu T, Budd S, Lloyd K, Wright R, Deng S, Ghavami N, Sinclair M, Meng Q, ... ... Rueckert D, et al. Exploring a new paradigm for the fetal anomaly ultrasound scan: artificial intelligence in real time. Prenatal Diagnosis. PMID 34648206 DOI: 10.1002/pd.6059 |
0.01 |
|
| 2021 |
de Marvao A, McGurk KA, Zheng SL, Thanaj M, Bai W, Duan J, Biffi C, Mazzarotto F, Statton B, Dawes TJW, Savioli N, Halliday BP, Xu X, Buchan RJ, Baksi AJ, ... ... Rueckert D, et al. Phenotypic Expression and Outcomes in Individuals With Rare Genetic Variants of Hypertrophic Cardiomyopathy. Journal of the American College of Cardiology. 78: 1097-1110. PMID 34503678 DOI: 10.1016/j.jacc.2021.07.017 |
0.01 |
|
| 2021 |
Jia X, Thorley A, Chen W, Qiu H, Shen L, Styles IB, Chang HJ, Leonardis A, De Marvao A, O'Regan DP, Rueckert D, Duan J. Learning a Model-Driven Variational Network for Deformable Image Registration. Ieee Transactions On Medical Imaging. PMID 34460369 DOI: 10.1109/TMI.2021.3108881 |
0.01 |
|
| 2021 |
Dimitrova R, Pietsch M, Ciarrusta J, Fitzgibbon SP, Williams LZJ, Christiaens D, Cordero-Grande L, Batalle D, Makropoulos A, Schuh A, Price AN, Hutter J, Teixeira RP, Hughes E, Chew A, ... ... Rueckert D, et al. Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age. Neuroimage. 118488. PMID 34419595 DOI: 10.1016/j.neuroimage.2021.118488 |
0.01 |
|
| 2021 |
Knolle M, Kaissis G, Jungmann F, Ziegelmayer S, Sasse D, Makowski M, Rueckert D, Braren R. Efficient, high-performance semantic segmentation using multi-scale feature extraction. Plos One. 16: e0255397. PMID 34411138 DOI: 10.1371/journal.pone.0255397 |
0.01 |
|
| 2021 |
Carney O, Hughes E, Tusor N, Dimitrova R, Arulkumaran S, Baruteau KP, Collado AE, Cordero-Grande L, Chew A, Falconer S, Allsop JM, Rueckert D, Hajnal J, Edwards AD, Rutherford M. Incidental findings on brain MR imaging of asymptomatic term neonates in the Developing Human Connectome Project. Eclinicalmedicine. 38: 100984. PMID 34355154 DOI: 10.1016/j.eclinm.2021.100984 |
0.01 |
|
| 2021 |
Qin C, Duan J, Hammernik K, Schlemper J, Küstner T, Botnar R, Prieto C, Price AN, Hajnal JV, Rueckert D. Complementary time-frequency domain networks for dynamic parallel MR image reconstruction. Magnetic Resonance in Medicine. PMID 34254355 DOI: 10.1002/mrm.28917 |
0.01 |
|
| 2021 |
Eyre M, Fitzgibbon SP, Ciarrusta J, Cordero-Grande L, Price AN, Poppe T, Schuh A, Hughes E, O'Keeffe C, Brandon J, Cromb D, Vecchiato K, Andersson J, Duff EP, Counsell SJ, ... ... Rueckert D, et al. Erratum to: The Developing Human Connectome Project: typical and disrupted perinatal functional connectivity. Brain : a Journal of Neurology. PMID 34219164 DOI: 10.1093/brain/awab234 |
0.01 |
|
| 2021 |
Ziller A, Usynin D, Braren R, Makowski M, Rueckert D, Kaissis G. Medical imaging deep learning with differential privacy. Scientific Reports. 11: 13524. PMID 34188157 DOI: 10.1038/s41598-021-93030-0 |
0.01 |
|
| 2021 |
Hammernik K, Schlemper J, Qin C, Duan J, Summers RM, Rueckert D. Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity-weighted coil combination. Magnetic Resonance in Medicine. PMID 34110037 DOI: 10.1002/mrm.28827 |
0.01 |
|
| 2021 |
Makowski MR, Bressem KK, Franz L, Kader A, Niehues SM, Keller S, Rueckert D, Adams LC. De Novo Radiomics Approach Using Image Augmentation and Features From T1 Mapping to Predict Gleason Scores in Prostate Cancer. Investigative Radiology. PMID 34047538 DOI: 10.1097/RLI.0000000000000788 |
0.01 |
|
| 2021 |
Kart T, Fischer M, Küstner T, Hepp T, Bamberg F, Winzeck S, Glocker B, Rueckert D, Gatidis S. Deep Learning-Based Automated Abdominal Organ Segmentation in the UK Biobank and German National Cohort Magnetic Resonance Imaging Studies. Investigative Radiology. 56: 401-408. PMID 33930003 DOI: 10.1097/RLI.0000000000000755 |
0.01 |
|
| 2021 |
Dimitrova R, Arulkumaran S, Carney O, Chew A, Falconer S, Ciarrusta J, Wolfers T, Batalle D, Cordero-Grande L, Price AN, Teixeira RPAG, Hughes E, Egloff A, Hutter J, Makropoulos A, ... ... Rueckert D, et al. Phenotyping the Preterm Brain: Characterizing Individual Deviations From Normative Volumetric Development in Two Large Infant Cohorts. Cerebral Cortex (New York, N.Y. : 1991). PMID 33822913 DOI: 10.1093/cercor/bhab039 |
0.01 |
|
| 2021 |
Dou Q, So TY, Jiang M, Liu Q, Vardhanabhuti V, Kaissis G, Li Z, Si W, Lee HHC, Yu K, Feng Z, Dong L, Burian E, Jungmann F, Braren R, ... ... Rueckert D, et al. Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. Npj Digital Medicine. 4: 60. PMID 33782526 DOI: 10.1038/s41746-021-00431-6 |
0.01 |
|
| 2021 |
Eyre M, Fitzgibbon SP, Ciarrusta J, Cordero-Grande L, Price AN, Poppe T, Schuh A, Hughes E, O'Keeffe C, Brandon J, Cromb D, Vecchiato K, Andersson J, Duff EP, Counsell SJ, ... ... Rueckert D, et al. The Developing Human Connectome Project: typical and disrupted perinatal functional connectivity. Brain : a Journal of Neurology. PMID 33734321 DOI: 10.1093/brain/awab118 |
0.01 |
|
| 2021 |
Balaban G, Halliday BP, Porter B, Bai W, Nygåard S, Owen R, Hatipoglu S, Ferreira ND, Izgi C, Tayal U, Corden B, Ware J, Pennell DJ, Rueckert D, Plank G, et al. Late-Gadolinium Enhancement Interface Area and Electrophysiological Simulations Predict Arrhythmic Events in Patients With Nonischemic Dilated Cardiomyopathy. Jacc. Clinical Electrophysiology. 7: 238-249. PMID 33602406 DOI: 10.1016/j.jacep.2020.08.036 |
0.01 |
|
| 2020 |
Puyol-Antón E, Chen C, Clough JR, Ruijsink B, Sidhu BS, Gould J, Porter B, Elliott M, Mehta V, Rueckert D, Rinaldi CA, King AP. Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 2020: 284-293. PMID 34109325 DOI: 10.1007/978-3-030-59710-8_28 |
0.01 |
|
| 2020 |
Monteiro M, Newcombe VFJ, Mathieu F, Adatia K, Kamnitsas K, Ferrante E, Das T, Whitehouse D, Rueckert D, Menon DK, Glocker B. Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study. The Lancet. Digital Health. 2: e314-e322. PMID 33328125 DOI: 10.1016/S2589-7500(20)30085-6 |
0.01 |
|
| 2020 |
Ball G, Seidlitz J, O'Muircheartaigh J, Dimitrova R, Fenchel D, Makropoulos A, Christiaens D, Schuh A, Passerat-Palmbach J, Hutter J, Cordero-Grande L, Hughes E, Price A, Hajnal JV, Rueckert D, et al. Cortical morphology at birth reflects spatiotemporal patterns of gene expression in the fetal human brain. Plos Biology. 18: e3000976. PMID 33226978 DOI: 10.1371/journal.pbio.3000976 |
0.01 |
|
| 2020 |
Xiong Z, Xia Q, Hu Z, Huang N, Bian C, Zheng Y, Vesal S, Ravikumar N, Maier A, Yang X, Heng PA, Ni D, Li C, Tong Q, Si W, ... ... Rueckert D, et al. A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging. Medical Image Analysis. 67: 101832. PMID 33166776 DOI: 10.1016/j.media.2020.101832 |
0.01 |
|
| 2020 |
Meng Q, Matthew J, Zimmer VA, Gomez A, Lloyd DFA, Rueckert D, Kainz B. Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging. Ieee Transactions On Medical Imaging. PMID 33141662 DOI: 10.1109/TMI.2020.3035424 |
0.01 |
|
| 2020 |
Jaubert O, Cruz G, Bustin A, Hajhosseiny R, Nazir S, Schneider T, Koken P, Doneva M, Rueckert D, Masci PG, Botnar RM, Prieto C. T1, T2, and Fat Fraction Cardiac MR Fingerprinting: Preliminary Clinical Evaluation. Journal of Magnetic Resonance Imaging : Jmri. PMID 33124081 DOI: 10.1002/jmri.27415 |
0.01 |
|
| 2020 |
Howard JP, Zaman S, Ragavan A, Hall K, Leonard G, Sutanto S, Ramadoss V, Razvi Y, Linton NF, Bharath A, Shun-Shin M, Rueckert D, Francis D, Cole G. Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition. The International Journal of Cardiovascular Imaging. PMID 33123938 DOI: 10.1007/s10554-020-02050-w |
0.01 |
|
| 2020 |
Ní Bhroin M, Abo Seada S, Bonthrone AF, Kelly CJ, Christiaens D, Schuh A, Pietsch M, Hutter J, Tournier JD, Cordero-Grande L, Rueckert D, Hajnal JV, Pushparajah K, Simpson J, Edwards AD, et al. Reduced structural connectivity in cortico-striatal-thalamic network in neonates with congenital heart disease. Neuroimage. Clinical. 28: 102423. PMID 32987301 DOI: 10.1016/j.nicl.2020.102423 |
0.01 |
|
| 2020 |
Arnold AD, Howard JP, Gopi AA, Chan CP, Ali N, Keene D, Shun-Shin MJ, Ahmad Y, Wright IJ, Ng FS, Linton NWF, Kanagaratnam P, Peters NS, Rueckert D, Francis DP, et al. Discriminating electrocardiographic responses to His-bundle pacing using machine learning. Cardiovascular Digital Health Journal. 1: 11-20. PMID 32954375 DOI: 10.1016/j.cvdhj.2020.07.001 |
0.01 |
|
| 2020 |
Ng IHX, Bonthrone AF, Kelly CJ, Cordero-Grande L, Hughes EJ, Price AN, Hutter J, Victor S, Schuh A, Rueckert D, Hajnal JV, Simpson J, Edwards AD, Rutherford MA, Batalle D, et al. Investigating altered brain development in infants with congenital heart disease using tensor-based morphometry. Scientific Reports. 10: 14909. PMID 32913193 DOI: 10.1038/s41598-020-72009-3 |
0.01 |
|
| 2020 |
Östberg A, Ledig C, Katila A, Maanpää HR, Posti JP, Takala R, Tallus J, Glocker B, Rueckert D, Tenovuo O. Volume Change in Frontal Cholinergic Structures After Traumatic Brain Injury and Cognitive Outcome. Frontiers in Neurology. 11: 832. PMID 32903569 DOI: 10.3389/fneur.2020.00832 |
0.01 |
|
| 2020 |
Fitzgibbon SP, Harrison SJ, Jenkinson M, Baxter L, Robinson EC, Bastiani M, Bozek J, Karolis V, Grande LC, Price AN, Hughes E, Makropoulos A, Passerat-Palmbach J, Schuh A, Gao J, ... ... Rueckert D, et al. The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants. Neuroimage. 117303. PMID 32866666 DOI: 10.1016/J.Neuroimage.2020.117303 |
0.01 |
|
| 2020 |
Bai W, Suzuki H, Huang J, Francis C, Wang S, Tarroni G, Guitton F, Aung N, Fung K, Petersen SE, Piechnik SK, Neubauer S, Evangelou E, Dehghan A, O'Regan DP, ... ... Rueckert D, et al. A population-based phenome-wide association study of cardiac and aortic structure and function. Nature Medicine. PMID 32839619 DOI: 10.1038/S41591-020-1009-Y |
0.01 |
|
| 2020 |
Meyer HV, Dawes TJW, Serrani M, Bai W, Tokarczuk P, Cai J, de Marvao A, Henry A, Lumbers RT, Gierten J, Thumberger T, Wittbrodt J, Ware JS, Rueckert D, Matthews PM, et al. Genetic and functional insights into the fractal structure of the heart. Nature. PMID 32814899 DOI: 10.1038/S41586-020-2635-8 |
0.01 |
|
| 2020 |
Küstner T, Fuin N, Hammernik K, Bustin A, Qi H, Hajhosseiny R, Masci PG, Neji R, Rueckert D, Botnar RM, Prieto C. CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions. Scientific Reports. 10: 13710. PMID 32792507 DOI: 10.1038/s41598-020-70551-8 |
0.01 |
|
| 2020 |
Chen C, Bai W, Davies RH, Bhuva AN, Manisty CH, Augusto JB, Moon JC, Aung N, Lee AM, Sanghvi MM, Fung K, Paiva JM, Petersen SE, Lukaschuk E, Piechnik SK, ... ... Rueckert D, et al. Improving the Generalizability of Convolutional Neural Network-Based Segmentation on CMR Images. Frontiers in Cardiovascular Medicine. 7: 105. PMID 32714943 DOI: 10.3389/fcvm.2020.00105 |
0.01 |
|
| 2020 |
Tournier JD, Christiaens D, Hutter J, Price AN, Cordero-Grande L, Hughes E, Bastiani M, Sotiropoulos SN, Smith SM, Rueckert D, Counsell SJ, Edwards AD, Hajnal JV. A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging. Nmr in Biomedicine. e4348. PMID 32632961 DOI: 10.1002/Nbm.4348 |
0.01 |
|
| 2020 |
Fenchel D, Dimitrova R, Seidlitz J, Robinson EC, Batalle D, Hutter J, Christiaens D, Pietsch M, Brandon J, Hughes EJ, Allsop J, O'Keeffe C, Price AN, Cordero-Grande L, Schuh A, ... ... Rueckert D, et al. Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain. Cerebral Cortex (New York, N.Y. : 1991). PMID 32537627 DOI: 10.1093/Cercor/Bhaa150 |
0.01 |
|
| 2020 |
Gale-Grant O, Christiaens D, Cordero-Grande L, Chew A, Falconer S, Makropoulos A, Harper N, Price AN, Hutter J, Hughes E, Victor S, Counsell SJ, Rueckert D, Hajnal JV, Edwards AD, et al. Parental age effects on neonatal white matter development. Neuroimage. Clinical. 27: 102283. PMID 32526683 DOI: 10.1016/j.nicl.2020.102283 |
0.01 |
|
| 2020 |
Dimitrova R, Pietsch M, Christiaens D, Ciarrusta J, Wolfers T, Batalle D, Hughes E, Hutter J, Cordero-Grande L, Price AN, Chew A, Falconer S, Vecchiato K, Steinweg JK, Carney O, ... ... Rueckert D, et al. Heterogeneity in Brain Microstructural Development Following Preterm Birth. Cerebral Cortex (New York, N.Y. : 1991). PMID 32306044 DOI: 10.1093/Cercor/Bhaa069 |
0.01 |
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| 2020 |
Pitkänen J, Koikkalainen J, Nieminen T, Marinkovic I, Curtze S, Sibolt G, Jokinen H, Rueckert D, Barkhof F, Schmidt R, Pantoni L, Scheltens P, Wahlund LO, Korvenoja A, Lötjönen J, et al. Evaluating severity of white matter lesions from computed tomography images with convolutional neural network. Neuroradiology. PMID 32281028 DOI: 10.1007/S00234-020-02410-2 |
0.01 |
|
| 2020 |
Howard JP, Tan J, Shun-Shin MJ, Mahdi D, Nowbar AN, Arnold AD, Ahmad Y, McCartney P, Zolgharni M, Linton NWF, Sutaria N, Rana B, Mayet J, Rueckert D, Cole GD, et al. Improving ultrasound video classification: an evaluation of novel deep learning methods in echocardiography. Journal of Medical Artificial Intelligence. 3. PMID 32226937 DOI: 10.21037/jmai.2019.10.03 |
0.01 |
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| 2020 |
Chen C, Qin C, Qiu H, Tarroni G, Duan J, Bai W, Rueckert D. Deep Learning for Cardiac Image Segmentation: A Review. Frontiers in Cardiovascular Medicine. 7: 25. PMID 32195270 DOI: 10.3389/fcvm.2020.00025 |
0.01 |
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| 2020 |
Onofrey JA, Staib LH, Huang X, Zhang F, Papademetris X, Metaxas D, Rueckert D, Duncan JS. Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation. Annual Review of Biomedical Engineering. PMID 32169002 DOI: 10.1146/Annurev-Bioeng-060418-052147 |
0.01 |
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| 2020 |
Tarroni G, Bai W, Oktay O, Schuh A, Suzuki H, Glocker B, Matthews PM, Rueckert D. Large-scale Quality Control of Cardiac Imaging in Population Studies: Application to UK Biobank. Scientific Reports. 10: 2408. PMID 32051456 DOI: 10.1038/s41598-020-58212-2 |
0.01 |
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| 2020 |
Biffi C, Doumou G, Duan J, Prasad SK, Cook SA, O Regan DP, Rueckert D, Cerrolaza JJ, Tarroni G, Bai W, De Marvao A, Oktay O, Ledig C, Le Folgoc L, Kamnitsas K. Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models. Ieee Transactions On Medical Imaging. PMID 31944949 DOI: 10.1109/TMI.2020.2964499 |
0.01 |
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| 2019 |
Rachmadi MF, Valdés-Hernández MDC, Li H, Guerrero R, Meijboom R, Wiseman S, Waldman A, Zhang J, Rueckert D, Wardlaw J, Komura T. Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 79: 101685. PMID 31846826 DOI: 10.1016/j.compmedimag.2019.101685 |
0.01 |
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| 2019 |
Jaubert O, Cruz G, Bustin A, Schneider T, Lavin B, Koken P, Hajhosseiny R, Doneva M, Rueckert D, Botnar RM, Prieto C. Water-fat Dixon cardiac magnetic resonance fingerprinting. Magnetic Resonance in Medicine. PMID 31736146 DOI: 10.1002/mrm.28070 |
0.01 |
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| 2019 |
Jokinen H, Koikkalainen J, Laakso HM, Melkas S, Nieminen T, Brander A, Korvenoja A, Rueckert D, Barkhof F, Scheltens P, Schmidt R, Fazekas F, Madureira S, Verdelho A, Wallin A, et al. Global Burden of Small Vessel Disease-Related Brain Changes on MRI Predicts Cognitive and Functional Decline. Stroke. STROKEAHA119026170. PMID 31699021 DOI: 10.1161/Strokeaha.119.026170 |
0.01 |
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| 2019 |
Balaban G, Halliday BP, Bai W, Porter B, Malvuccio C, Lamata P, Rinaldi CA, Plank G, Rueckert D, Prasad SK, Bishop MJ. Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort. Plos Computational Biology. 15: e1007421. PMID 31658247 DOI: 10.1371/journal.pcbi.1007421 |
0.01 |
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| 2019 |
Leiner T, Rueckert D, Suinesiaputra A, Baeßler B, Nezafat R, Išgum I, Young AA. Machine learning in cardiovascular magnetic resonance: basic concepts and applications. Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society For Cardiovascular Magnetic Resonance. 21: 61. PMID 31590664 DOI: 10.1186/S12968-019-0575-Y |
0.01 |
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| 2019 |
Bhuva AN, Bai W, Lau C, Davies RH, Ye Y, Bulluck H, McAlindon E, Culotta V, Swoboda PP, Captur G, Treibel TA, Augusto JB, Knott KD, Seraphim A, Cole GD, ... ... Rueckert D, et al. A Multicenter, Scan-Rescan, Human and Machine Learning CMR Study to Test Generalizability and Precision in Imaging Biomarker Analysis. Circulation. Cardiovascular Imaging. 12: e009214. PMID 31547689 DOI: 10.1161/CIRCIMAGING.119.009214 |
0.01 |
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| 2019 |
Ktena SI, Schirmer MD, Etherton MR, Giese AK, Tuozzo C, Mills BB, Rueckert D, Wu O, Rost NS. Brain Connectivity Measures Improve Modeling of Functional Outcome After Acute Ischemic Stroke. Stroke. STROKEAHA119025738. PMID 31510905 DOI: 10.1161/STROKEAHA.119.025738 |
0.01 |
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| 2019 |
Chen L, Bentley P, Mori K, Misawa K, Fujiwara M, Rueckert D. Self-supervised learning for medical image analysis using image context restoration. Medical Image Analysis. 58: 101539. PMID 31374449 DOI: 10.1016/j.media.2019.101539 |
0.01 |
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| 2019 |
Bhuva AN, Treibel TA, De Marvao A, Biffi C, Dawes TJW, Doumou G, Bai W, Patel K, Boubertakh R, Rueckert D, O'Regan DP, Hughes AD, Moon JC, Manisty CH. Sex and regional differences in myocardial plasticity in aortic stenosis are revealed by 3D model machine learning. European Heart Journal Cardiovascular Imaging. PMID 31280289 DOI: 10.1093/ehjci/jez166 |
0.01 |
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| 2019 |
Cerrolaza JJ, Picazo ML, Humbert L, Sato Y, Rueckert D, Ballester MÁG, Linguraru MG. Computational anatomy for multi-organ analysis in medical imaging: A review. Medical Image Analysis. 56: 44-67. PMID 31181343 DOI: 10.1016/j.media.2019.04.002 |
0.01 |
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| 2019 |
Howard JP, Fisher L, Shun-Shin MJ, Keene D, Arnold AD, Ahmad Y, Cook CM, Moon JC, Manisty CH, Whinnett ZI, Cole GD, Rueckert D, Francis DP. Cardiac Rhythm Device Identification Using Neural Networks. Jacc. Clinical Electrophysiology. 5: 576-586. PMID 31122379 DOI: 10.1016/j.jacep.2019.02.003 |
0.01 |
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| 2019 |
Oksuz I, Ruijsink B, Puyol-Antón E, Clough JR, Cruz G, Bustin A, Prieto C, Botnar R, Rueckert D, Schnabel JA, King AP. Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. Medical Image Analysis. 55: 136-147. PMID 31055126 DOI: 10.1016/j.media.2019.04.009 |
0.01 |
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| 2019 |
Meng Q, Sinclair M, Zimmer V, Hou B, Rajchl M, Toussaint N, Oktay O, Schlemper J, Gomez A, Housden J, Matthew J, Rueckert D, Schnabel JA, Kainz B. Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging. Ieee Transactions On Medical Imaging. PMID 31021795 DOI: 10.1109/Tmi.2019.2913311 |
0.01 |
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| 2019 |
Bruun M, Frederiksen KS, Rhodius-Meester HFM, Baroni M, Gjerum L, Koikkalainen J, Urhemaa T, Tolonen A, van Gils M, Rueckert D, Dyremose N, Andersen BB, Lemstra AW, Hallikainen M, Kurl S, et al. Impact of a clinical decision support tool on prediction of progression in early-stage dementia: a prospective validation study. Alzheimer's Research & Therapy. 11: 25. PMID 30894218 DOI: 10.1186/S13195-019-0482-3 |
0.01 |
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| 2019 |
Robinson R, Valindria VV, Bai W, Oktay O, Kainz B, Suzuki H, Sanghvi MM, Aung N, Paiva JM, Zemrak F, Fung K, Lukaschuk E, Lee AM, Carapella V, Kim YJ, ... ... Rueckert D, et al. Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study. Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society For Cardiovascular Magnetic Resonance. 21: 18. PMID 30866968 DOI: 10.1186/s12968-019-0523-x |
0.01 |
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| 2019 |
Schlemper J, Oktay O, Schaap M, Heinrich M, Kainz B, Glocker B, Rueckert D. Attention gated networks: Learning to leverage salient regions in medical images. Medical Image Analysis. 53: 197-207. PMID 30802813 DOI: 10.1016/j.media.2019.01.012 |
0.01 |
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| 2019 |
Bello GA, Dawes TJW, Duan J, Biffi C, de Marvao A, Howard LSGE, Gibbs JSR, Wilkins MR, Cook SA, Rueckert D, O'Regan DP. Deep learning cardiac motion analysis for human survival prediction. Nature Machine Intelligence. 1: 95-104. PMID 30801055 DOI: 10.1038/s42256-019-0019-2 |
0.01 |
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| 2019 |
Alansary A, Oktay O, Li Y, Folgoc LL, Hou B, Vaillant G, Kamnitsas K, Vlontzos A, Glocker B, Kainz B, Rueckert D. Evaluating reinforcement learning agents for anatomical landmark detection. Medical Image Analysis. 53: 156-164. PMID 30784956 DOI: 10.1016/j.media.2019.02.007 |
0.01 |
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| 2019 |
Gilbert K, Bai W, Mauger C, Medrano-Gracia P, Suinesiaputra A, Lee AM, Sanghvi MM, Aung N, Piechnik SK, Neubauer S, Petersen SE, Rueckert D, Young AA. Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study. Scientific Reports. 9: 1130. PMID 30718635 DOI: 10.1038/s41598-018-37916-6 |
0.01 |
|
| 2019 |
Duan J, Bello G, Schlemper J, Bai W, Dawes TJW, Biffi C, de Marvao A, Doumou G, O'Regan DP, Rueckert D. Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach. Ieee Transactions On Medical Imaging. PMID 30676949 DOI: 10.1109/TMI.2019.2894322 |
0.01 |
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| 2019 |
Bruun M, Frederiksen KS, Rhodius-Meester HFM, Baroni M, Gjerum L, Koikkalainen J, Urhema T, Tolonen A, van Gils M, Tong T, Rueckert D, Dyremos N, Bo Andersen B, Simonsen AH, Lemstra A, et al. Impact of a clinical decision support tool on dementia diagnostics in memory clinics: The PredictND validation study. Current Alzheimer Research. PMID 30605060 DOI: 10.2174/1567205016666190103152425 |
0.01 |
|
| 2018 |
Li Y, Alansary A, Cerrolaza JJ, Khanal B, Sinclair M, Matthew J, Gupta C, Knight C, Kainz B, Rueckert D. Fast Multiple Landmark Localisation Using a Patch-based Iterative Network. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 2018: 563-571. PMID 34095901 DOI: 10.1007/978-3-030-00928-1_64 |
0.01 |
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| 2018 |
Cox DJ, Bai W, Price AN, Edwards AD, Rueckert D, Groves AM. Ventricular remodeling in preterm infants: computational cardiac magnetic resonance atlasing shows significant early remodeling of the left ventricle. Pediatric Research. PMID 30758323 DOI: 10.1038/s41390-018-0171-0 |
0.01 |
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| 2018 |
Balaban G, Halliday BP, Mendonca Costa C, Bai W, Porter B, Rinaldi CA, Plank G, Rueckert D, Prasad SK, Bishop MJ. Fibrosis Microstructure Modulates Reentry in Non-ischemic Dilated Cardiomyopathy: Insights From Imaged Guided 2D Computational Modeling. Frontiers in Physiology. 9: 1832. PMID 30618838 DOI: 10.3389/fphys.2018.01832 |
0.01 |
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| 2018 |
Attard MI, Dawes TJW, de Marvao A, Biffi C, Shi W, Wharton J, Rhodes CJ, Ghataorhe P, Gibbs JSR, Howard LSGE, Rueckert D, Wilkins MR, O'Regan DP. Metabolic pathways associated with right ventricular adaptation to pulmonary hypertension: 3D analysis of cardiac magnetic resonance imaging. European Heart Journal Cardiovascular Imaging. PMID 30535300 DOI: 10.1093/ehjci/jey175 |
0.01 |
|
| 2018 |
Cerrolaza JJ, Li Y, Biffi C, Gomez A, Matthew J, Sinclair M, Gupta C, Knight CL, Rueckert D. Fetal Skull Reconstruction via Deep Convolutional Autoencoders. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2018: 887-890. PMID 30440533 DOI: 10.1109/EMBC.2018.8512282 |
0.01 |
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| 2018 |
Sinclair M, Baumgartner CF, Matthew J, Bai W, Martinez JC, Li Y, Smith S, Knight CL, Kainz B, Hajnal J, King AP, Rueckert D. Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2018: 714-717. PMID 30440496 DOI: 10.1109/EMBC.2018.8512278 |
0.01 |
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| 2018 |
Tarroni G, Oktay O, Bai W, Schuh A, Suzuki H, Passerat-Palmbach J, de Marvao A, O'Regan DP, Cook S, Glocker B, Matthews PM, Rueckert D. Learning-Based Quality Control for Cardiac MR Images. Ieee Transactions On Medical Imaging. PMID 30403623 DOI: 10.1109/TMI.2018.2878509 |
0.01 |
|
| 2018 |
Bruun M, Rhodius-Meester HFM, Koikkalainen J, Baroni M, Gjerum L, Lemstra AW, Barkhof F, Remes AM, Urhemaa T, Tolonen A, Rueckert D, van Gils M, Frederiksen KS, Waldemar G, Scheltens P, et al. Evaluating combinations of diagnostic tests to discriminate different dementia types. Alzheimer's & Dementia (Amsterdam, Netherlands). 10: 509-518. PMID 30320203 DOI: 10.1016/J.Dadm.2018.07.003 |
0.01 |
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| 2018 |
Bai W, Sinclair M, Tarroni G, Oktay O, Rajchl M, Vaillant G, Lee AM, Aung N, Lukaschuk E, Sanghvi MM, Zemrak F, Fung K, Paiva JM, Carapella V, Kim YJ, ... ... Rueckert D, et al. Automated cardiovascular magnetic resonance image analysis with fully convolutional networks. Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society For Cardiovascular Magnetic Resonance. 20: 65. PMID 30217194 DOI: 10.1186/S12968-018-0471-X |
0.01 |
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| 2018 |
Qin C, Hajnal JV, Rueckert D, Schlemper J, Caballero J, Price AN. Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction. Ieee Transactions On Medical Imaging. PMID 30080145 DOI: 10.1109/TMI.2018.2863670 |
0.01 |
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| 2018 |
Ledig C, Schuh A, Guerrero R, Heckemann RA, Rueckert D. Structural brain imaging in Alzheimer's disease and mild cognitive impairment: biomarker analysis and shared morphometry database. Scientific Reports. 8: 11258. PMID 30050078 DOI: 10.1038/s41598-018-29295-9 |
0.01 |
|
| 2018 |
Hou B, Khanal B, Khanal B, Alansary A, McDonagh S, Davidson A, Rutherford M, Hajnal JV, Rueckert D, Glocker B, Kainz B. 3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images. Ieee Transactions On Medical Imaging. PMID 29994453 DOI: 10.1109/TMI.2018.2798801 |
0.01 |
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| 2018 |
Chen L, Bentley P, Mori K, Misawa K, Fujiwara M, Rueckert D. DRINet for Medical Image Segmentation. Ieee Transactions On Medical Imaging. PMID 29993738 DOI: 10.1109/TMI.2018.2835303 |
0.01 |
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| 2018 |
Tolonen A, Rhodius-Meester HFM, Bruun M, Koikkalainen J, Barkhof F, Lemstra AW, Koene T, Scheltens P, Teunissen CE, Tong T, Guerrero R, Schuh A, Ledig C, Baroni M, Rueckert D, et al. Data-Driven Differential Diagnosis of Dementia Using Multiclass Disease State Index Classifier. Frontiers in Aging Neuroscience. 10: 111. PMID 29922145 DOI: 10.3389/Fnagi.2018.00111 |
0.01 |
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| 2018 |
Parisot S, Ktena SI, Ferrante E, Lee M, Guerrero R, Glocker B, Rueckert D. Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease. Medical Image Analysis. 48: 117-130. PMID 29890408 DOI: 10.1016/j.media.2018.06.001 |
0.01 |
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| 2018 |
Bozek J, Makropoulos A, Schuh A, Fitzgibbon S, Wright R, Glasser MF, Coalson TS, O'Muircheartaigh J, Hutter J, Price AN, Cordero-Grande L, Teixeira RPAG, Hughes E, Tusor N, Baruteau KP, ... ... Rueckert D, et al. Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project. Neuroimage. PMID 29890325 DOI: 10.1016/J.Neuroimage.2018.06.018 |
0.01 |
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| 2018 |
Bastiani M, Andersson J, Cordero-Grande L, Murgasova M, Hutter J, Price AN, Makropoulos A, Fitzgibbon SP, Hughes E, Rueckert D, Victor S, Rutherford M, Edwards AD, Smith S, Tournier JD, et al. Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project. Neuroimage. PMID 29852283 DOI: 10.1016/J.Neuroimage.2018.05.064 |
0.01 |
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| 2018 |
Chen L, Carlton Jones AL, Mair G, Patel R, Gontsarova A, Ganesalingam J, Math N, Dawson A, Aweid B, Cohen D, Mehta A, Wardlaw J, Rueckert D, Bentley P. Rapid Automated Quantification of Cerebral Leukoaraiosis on CT Images: A Multicenter Validation Study. Radiology. 171567. PMID 29762091 DOI: 10.1148/radiol.2018171567 |
0.01 |
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| 2018 |
Cajanus A, Hall A, Koikkalainen J, Solje E, Tolonen A, Urhemaa T, Liu Y, Haanpää RM, Hartikainen P, Helisalmi S, Korhonen V, Rueckert D, Hasselbalch S, Waldemar G, Mecocci P, et al. Automatic MRI Quantifying Methods in Behavioral-Variant Frontotemporal Dementia Diagnosis. Dementia and Geriatric Cognitive Disorders Extra. 8: 51-59. PMID 29606954 DOI: 10.1159/000486849 |
0.01 |
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| 2018 |
Guerrero R, Qin C, Oktay O, Bowles C, Chen L, Joules R, Wolz R, Valdés-Hernández MC, Dickie DA, Wardlaw J, Rueckert D. White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks. Neuroimage. Clinical. 17: 918-934. PMID 29527496 DOI: 10.1016/j.nicl.2017.12.022 |
0.01 |
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| 2018 |
Garcia KE, Robinson EC, Alexopoulos D, Dierker DL, Glasser MF, Coalson TS, Ortinau CM, Rueckert D, Taber LA, Van Essen DC, Rogers CE, Smyser CD, Bayly PV. Dynamic patterns of cortical expansion during folding of the preterm human brain. Proceedings of the National Academy of Sciences of the United States of America. PMID 29507201 DOI: 10.1073/Pnas.1715451115 |
0.01 |
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| 2018 |
Makropoulos A, Robinson EC, Schuh A, Wright R, Fitzgibbon S, Bozek J, Counsell SJ, Steinweg J, Vecchiato K, Passerat-Palmbach J, Lenz G, Mortari F, Tenev T, Duff EP, Bastiani M, ... ... Rueckert D, et al. The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction. Neuroimage. PMID 29409960 DOI: 10.1016/J.Neuroimage.2018.01.054 |
0.01 |
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| 2017 |
Bowles C, Qin C, Guerrero R, Gunn R, Hammers A, Dickie DA, Valdés Hernández M, Wardlaw J, Rueckert D. Brain lesion segmentation through image synthesis and outlier detection. Neuroimage. Clinical. 16: 643-658. PMID 29868438 DOI: 10.1016/j.nicl.2017.09.003 |
0.01 |
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| 2017 |
Ktena SI, Parisot S, Ferrante E, Rajchl M, Lee M, Glocker B, Rueckert D. Metric learning with spectral graph convolutions on brain connectivity networks. Neuroimage. 169: 431-442. PMID 29278772 DOI: 10.1016/J.Neuroimage.2017.12.052 |
0.01 |
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| 2017 |
Huizinga W, Poot DHJ, Vernooij MW, Roshchupkin GV, Bron EE, Ikram MA, Rueckert D, Niessen WJ, Klein S. A spatio-temporal reference model of the aging brain. Neuroimage. 169: 11-22. PMID 29203452 DOI: 10.1016/j.neuroimage.2017.10.040 |
0.01 |
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| 2017 |
Ledig C, Kamnitsas K, Koikkalainen J, Posti JP, Takala RSK, Katila A, Frantzén J, Ala-Seppälä H, Kyllönen A, Maanpää HR, Tallus J, Lötjönen J, Glocker B, Tenovuo O, Rueckert D. Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging. Plos One. 12: e0188152. PMID 29182625 DOI: 10.1371/journal.pone.0188152 |
0.01 |
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| 2017 |
Kelly CJ, Makropoulos A, Cordero-Grande L, Hutter J, Price A, Hughes E, Murgasova M, Teixeira RPAG, Steinweg JK, Kulkarni S, Rahman L, Zhang H, Alexander DC, Pushparajah K, Rueckert D, et al. Impaired development of the cerebral cortex in infants with congenital heart disease is correlated to reduced cerebral oxygen delivery. Scientific Reports. 7: 15088. PMID 29118365 DOI: 10.1038/s41598-017-14939-z |
0.01 |
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| 2017 |
Sinclair M, Peressutti D, Puyol-Antón E, Bai W, Rivolo S, Webb J, Claridge S, Jackson T, Nordsletten D, Hadjicharalambous M, Kerfoot E, Rinaldi CA, Rueckert D, King AP. Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients. Medical Image Analysis. 43: 169-185. PMID 29112879 DOI: 10.1016/j.media.2017.10.004 |
0.01 |
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| 2017 |
Robinson EC, Garcia K, Glasser MF, Chen Z, Coalson TS, Makropoulos A, Bozek J, Wright R, Schuh A, Webster M, Hutter J, Price A, Grande LC, Hughes E, Tusor N, ... ... Rueckert D, et al. Multimodal surface matching with higher-order smoothness constraints. Neuroimage. PMID 29100940 DOI: 10.1016/J.Neuroimage.2017.10.037 |
0.01 |
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| 2017 |
Schlemper J, Caballero J, Hajnal JV, Price A, Rueckert D. A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction. Ieee Transactions On Medical Imaging. PMID 29035212 DOI: 10.1109/TMI.2017.2760978 |
0.01 |
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| 2017 |
Biffi C, de Marvao A, Attard MI, Dawes TJW, Whiffin N, Bai W, Shi W, Francis C, Meyer H, Buchan R, Cook SA, Rueckert D, O'Regan DP. Three-dimensional Cardiovascular Imaging-Genetics: A Mass Univariate Framework. Bioinformatics (Oxford, England). PMID 28968671 DOI: 10.1093/bioinformatics/btx552 |
0.01 |
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| 2017 |
Oktay O, Ferrante E, Kamnitsas K, Heinrich M, Bai W, Caballero J, Cook S, de Marvao A, Dawes T, O'Regan D, Kainz B, Glocker B, Rueckert D. Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation. Ieee Transactions On Medical Imaging. PMID 28961105 DOI: 10.1109/Tmi.2017.2743464 |
0.01 |
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| 2017 |
Parisot S, Glocker B, Ktena SI, Arslan S, Schirmer MD, Rueckert D. A flexible graphical model for multi-modal parcellation of the cortex. Neuroimage. PMID 28889005 DOI: 10.1016/j.neuroimage.2017.09.005 |
0.01 |
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| 2017 |
Alansary A, Rajchl M, McDonagh SG, Murgasova M, Damodaram M, Lloyd DFA, Davidson A, Rutherford M, Hajnal JV, Rueckert D, Kainz B. PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI. Ieee Transactions On Medical Imaging. PMID 28880160 DOI: 10.1109/Tmi.2017.2737081 |
0.01 |
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| 2017 |
Koch LM, Rajchl M, Bai W, Baumgartner CF, Tong T, Passerat-Palmbach J, Aljabar P, Rueckert D. Multi-Atlas Segmentation using Partially Annotated Data: Methods and Annotation Strategies. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 28841548 DOI: 10.1109/Tpami.2017.2711020 |
0.01 |
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| 2017 |
Zimmer VA, Glocker B, Hahner N, Eixarch E, Sanroma G, Gratacós E, Rueckert D, González Ballester MÁ, Piella G. Learning and combining image neighborhoods using random forests for neonatal brain disease classification. Medical Image Analysis. 42: 189-199. PMID 28818743 DOI: 10.1016/j.media.2017.08.004 |
0.01 |
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| 2017 |
Lavdas I, Glocker B, Kamnitsas K, Rueckert D, Mair H, Sandhu A, Taylor SA, Aboagye EO, Rockall AG. Fully automatic, multi-organ segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs) and a multi-atlas (MA) approach. Medical Physics. PMID 28756622 DOI: 10.1002/mp.12492 |
0.01 |
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| 2017 |
Baumgartner CF, Kamnitsas K, Matthew J, Fletcher TP, Smith S, Koch LM, Kainz B, Rueckert D. SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound. Ieee Transactions On Medical Imaging. PMID 28708546 DOI: 10.1109/TMI.2017.2712367 |
0.01 |
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| 2017 |
Lorch B, Vaillant G, Baumgartner C, Bai W, Rueckert D, Maier A. Automated Detection of Motion Artefacts in MR Imaging Using Decision Forests. Journal of Medical Engineering. 2017: 4501647. PMID 28695126 DOI: 10.1155/2017/4501647 |
0.01 |
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| 2017 |
Makropoulos A, Counsell SJ, Rueckert D. A review on automatic fetal and neonatal brain MRI segmentation. Neuroimage. PMID 28666878 DOI: 10.1016/j.neuroimage.2017.06.074 |
0.01 |
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| 2017 |
Chen L, Bentley P, Rueckert D. Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks. Neuroimage. Clinical. 15: 633-643. PMID 28664034 DOI: 10.1016/j.nicl.2017.06.016 |
0.01 |
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| 2017 |
Tong T, Ledig C, Guerrero R, Schuh A, Koikkalainen J, Tolonen A, Rhodius H, Barkhof F, Tijms B, Lemstra AW, Soininen H, Remes AM, Waldemar G, Hasselbalch S, Mecocci P, ... ... Rueckert D, et al. Five-class differential diagnostics of neurodegenerative diseases using random undersampling boosting. Neuroimage. Clinical. 15: 613-624. PMID 28664032 DOI: 10.1016/J.Nicl.2017.06.012 |
0.01 |
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| 2017 |
Valindria VV, Lavdas I, Bai W, Kamnitsas K, Aboagye EO, Rockall AG, Rueckert D, Glocker B. Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth. Ieee Transactions On Medical Imaging. PMID 28436849 DOI: 10.1109/TMI.2017.2665165 |
0.01 |
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| 2017 |
Arslan S, Ktena SI, Makropoulos A, Robinson EC, Rueckert D, Parisot S. Human Brain Mapping: A Systematic Comparison of Parcellation Methods for the Human Cerebral Cortex. Neuroimage. PMID 28412442 DOI: 10.1016/j.neuroimage.2017.04.014 |
0.01 |
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| 2017 |
Karasawa K, Oda M, Kitasaka T, Misawa K, Fujiwara M, Chu C, Zheng G, Rueckert D, Mori K. Multi-atlas pancreas segmentation: Atlas selection based on vessel structure. Medical Image Analysis. 39: 18-28. PMID 28410505 DOI: 10.1016/j.media.2017.03.006 |
0.01 |
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| 2017 |
Passerat-Palmbach J, Reuillon R, Leclaire M, Makropoulos A, Robinson EC, Parisot S, Rueckert D. Reproducible Large-Scale Neuroimaging Studies with the OpenMOLE Workflow Management System. Frontiers in Neuroinformatics. 11: 21. PMID 28381997 DOI: 10.3389/fninf.2017.00021 |
0.01 |
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| 2017 |
Ciller C, De Zanet S, Kamnitsas K, Maeder P, Glocker B, Munier FL, Rueckert D, Thiran JP, Bach Cuadra M, Sznitman R. Multi-channel MRI segmentation of eye structures and tumors using patient-specific features. Plos One. 12: e0173900. PMID 28350816 DOI: 10.1371/journal.pone.0173900 |
0.01 |
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| 2017 |
Kuklisova Murgasova M, Lockwood-Estrin G, Nunes RG, Malik S, Rutherford M, Rueckert D, Hajnal J. Distortion correction in fetal EPI using non-rigid registration with a Laplacian constraint. Ieee Transactions On Medical Imaging. PMID 28207387 DOI: 10.1109/TMI.2017.2667227 |
0.01 |
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| 2017 |
Suinesiaputra A, Ablin P, Alba X, Alessandrini M, Allen J, Bai W, Cimen S, Claes P, Cowan BR, D'hooge J, Duchateau N, Ehrhardt J, Frangi AF, Gooya A, Grau V, ... ... Rueckert D, et al. Statistical shape modeling of the left ventricle: myocardial infarct classification challenge. Ieee Journal of Biomedical and Health Informatics. PMID 28103561 DOI: 10.1109/Jbhi.2017.2652449 |
0.01 |
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| 2017 |
Dawes TJ, de Marvao A, Shi W, Fletcher T, Watson GM, Wharton J, Rhodes CJ, Howard LS, Gibbs JS, Rueckert D, Cook SA, Wilkins MR, O'Regan DP. Machine Learning of Three-dimensional Right Ventricular Motion Enables Outcome Prediction in Pulmonary Hypertension: A Cardiac MR Imaging Study. Radiology. 161315. PMID 28092203 DOI: 10.1148/radiol.2016161315 |
0.01 |
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| 2017 |
Oktay O, Bai W, Guerrero R, Rajchl M, de Marvao A, O'Regan DP, Cook SA, Heinrich MP, Glocker B, Rueckert D. Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images. Ieee Transactions On Medical Imaging. 36: 332-342. PMID 28055830 DOI: 10.1109/Tmi.2016.2597270 |
0.01 |
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| 2017 |
Kanavati F, Tong T, Misawa K, Fujiwara M, Mori K, Rueckert D, Glocker B. Supervoxel classification forests for estimating pairwise image correspondences Pattern Recognition. 63: 561-569. DOI: 10.1016/j.patcog.2016.09.026 |
0.01 |
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| 2016 |
Oktay O, Bai W, Guerrero R, Rajchl M, de Marvao A, O Regan D, Cook S, Heinrich M, Glocker B, Rueckert D. Stratified Decision Forests for Accurate Anatomical Landmark Localization. Ieee Transactions On Medical Imaging. PMID 28113656 DOI: 10.1109/TMI.2016.2597270 |
0.01 |
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| 2016 |
Gomez A, Oktay O, Rueckert D, Penney GP, Schnabel JA, Simpson JM, Pushparajah K. Regional Differences in End-Diastolic Volumes between 3D Echo and CMR in HLHS Patients. Frontiers in Pediatrics. 4: 133. PMID 28018895 DOI: 10.3389/fped.2016.00133 |
0.01 |
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| 2016 |
Schafer S, de Marvao A, Adami E, Fiedler LR, Ng B, Khin E, Rackham OJ, van Heesch S, Pua CJ, Kui M, Walsh R, Tayal U, Prasad SK, Dawes TJ, Ko NS, ... ... Rueckert D, et al. Titin-truncating variants affect heart function in disease cohorts and the general population. Nature Genetics. PMID 27869827 DOI: 10.1038/ng.3719 |
0.01 |
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| 2016 |
Kamnitsas K, Ledig C, Newcombe VF, Simpson JP, Kane AD, Menon DK, Rueckert D, Glocker B. Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation. Medical Image Analysis. 36: 61-78. PMID 27865153 DOI: 10.1016/J.Media.2016.10.004 |
0.01 |
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| 2016 |
Rajchl M, Lee M, Oktay O, Kamnitsas K, Passerat-Palmbach J, Bai W, Rutherford M, Hajnal J, Kainz B, Rueckert D. DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks. Ieee Transactions On Medical Imaging. PMID 27845654 DOI: 10.1109/Tmi.2016.2621185 |
0.01 |
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| 2016 |
Peressutti D, Sinclair M, Bai W, Jackson T, Ruijsink J, Nordsletten D, Asner L, Hadjicharalambous M, Rinaldi CA, Rueckert D, King AP. A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction. Medical Image Analysis. 35: 669-684. PMID 27770718 DOI: 10.1016/j.media.2016.10.002 |
0.01 |
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| 2016 |
Maier O, Menze BH, von der Gablentz J, Häni L, Heinrich MP, Liebrand M, Winzeck S, Basit A, Bentley P, Chen L, Christiaens D, Dutil F, Egger K, Feng C, Glocker B, ... ... Rueckert D, et al. ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. Medical Image Analysis. 35: 250-269. PMID 27475911 DOI: 10.1016/j.media.2016.07.009 |
0.01 |
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| 2016 |
Rueckert D, Glocker B, Kainz B. Learning clinically useful information from images: Past, present and future. Medical Image Analysis. PMID 27344105 DOI: 10.1016/j.media.2016.06.009 |
0.01 |
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| 2016 |
Baumgartner CF, Kolbitsch C, McClelland JR, Rueckert D, King AP. Autoadaptive motion modelling for MR-based respiratory motion estimation. Medical Image Analysis. 35: 83-100. PMID 27343436 DOI: 10.1016/j.media.2016.06.005 |
0.01 |
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| 2016 |
Xu Z, Lee CP, Heinrich MP, Modat M, Rueckert D, Ourselin S, Abramson RG, Landman BA. Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT. Ieee Transactions On Bio-Medical Engineering. PMID 27254856 DOI: 10.1109/Tbme.2016.2574816 |
0.01 |
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| 2016 |
Corden B, de Marvao A, Dawes TJ, Shi W, Rueckert D, Cook SA, O'Regan DP. Relationship between body composition and left ventricular geometry using three dimensional cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society For Cardiovascular Magnetic Resonance. 18: 32. PMID 27245154 DOI: 10.1186/s12968-016-0251-4 |
0.01 |
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| 2016 |
Parisot S, Arslan S, Passerat-Palmbach J, Wells WM, Rueckert D. Group-wise parcellation of the cortex through multi-scale spectral clustering. Neuroimage. PMID 27192437 DOI: 10.1016/j.neuroimage.2016.05.035 |
0.01 |
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| 2016 |
Koikkalainen J, Rhodius-Meester H, Tolonen A, Barkhof F, Tijms B, Lemstra AW, Tong T, Guerrero R, Schuh A, Ledig C, Rueckert D, Soininen H, Remes AM, Waldemar G, Hasselbalch S, et al. Differential diagnosis of neurodegenerative diseases using structural MRI data. Neuroimage. Clinical. 11: 435-49. PMID 27104138 DOI: 10.1016/J.Nicl.2016.02.019 |
0.01 |
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| 2016 |
Schmidt-Richberg A, Ledig C, Guerrero R, Molina-Abril H, Frangi A, Rueckert D. Learning Biomarker Models for Progression Estimation of Alzheimer's Disease. Plos One. 11: e0153040. PMID 27096739 DOI: 10.1371/journal.pone.0153040 |
0.01 |
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| 2016 |
Tong T, Gao Q, Guerrero R, Ledig C, Chen L, Rueckert D. A Novel Grading Biomarker for the Prediction of Conversion from Mild Cognitive Impairment to Alzheimer's Disease. Ieee Transactions On Bio-Medical Engineering. PMID 27046891 DOI: 10.1109/TBME.2016.2549363 |
0.01 |
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| 2016 |
Ferrazzi G, Nunes RG, Arichi T, Gaspar AS, Barone G, Allievi A, Vasylechko S, Abaei M, Hughes E, Rueckert D, Price AN, Hajnal JV. An exploration of task based fMRI in neonates using echo-shifting to allow acquisition at longer TE without loss of temporal efficiency. Neuroimage. 127: 298-306. PMID 26708014 DOI: 10.1016/j.neuroimage.2015.12.025 |
0.01 |
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| 2016 |
Thomaz CE, Amaral V, Gillies DF, Rueckert D. Priori-driven dimensions of face-space: Experiments incorporating eye-tracking information Eye Tracking Research and Applications Symposium (Etra). 14: 279-282. DOI: 10.1145/2857491.2857508 |
0.01 |
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| 2016 |
Murgasova M, Estrin GL, Rutherford M, Rueckert D, Hajnal J. Distortion correction in fetal EPI using non-rigid registration with Laplacian constraint Proceedings - International Symposium On Biomedical Imaging. 2016: 1372-1375. DOI: 10.1109/ISBI.2016.7493522 |
0.01 |
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| 2016 |
Bozek J, Fitzgibbon S, Wright R, Rueckert D, Jenkinson M, Robinson EC. Construction of a neonatal cortical surface atlas using multimodal surface matching Proceedings - International Symposium On Biomedical Imaging. 2016: 775-778. DOI: 10.1109/ISBI.2016.7493381 |
0.01 |
|
| 2016 |
Luong DVN, Parpas P, Rueckert D, Rustem B. A Weighted Mirror Descent Algorithm for Nonsmooth Convex Optimization Problem Journal of Optimization Theory and Applications. 1-16. DOI: 10.1007/s10957-016-0963-5 |
0.01 |
|
| 2016 |
Bai W, Oktay O, Rueckert D. Classification of myocardial infarcted patients by combining shape and motion features Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9534: 140-145. DOI: 10.1007/978-3-319-28712-6_15 |
0.01 |
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| 2015 |
Bernard O, Bosch JG, Heyde B, Alessandrini M, Barbosa D, Camarasu-Pop S, Cervenansky F, Valette S, Mirea O, Bernier M, Jodoin PM, Domingos JS, Stebbing RV, Keraudren K, Oktay O, ... ... Rueckert D, et al. Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography. Ieee Transactions On Medical Imaging. PMID 26625409 DOI: 10.1109/TMI.2015.2503890 |
0.01 |
|
| 2015 |
Makropoulos A, Aljabar P, Wright R, Hüning B, Merchant N, Arichi T, Tusor N, Hajnal JV, Edwards AD, Counsell SJ, Rueckert D. Regional growth and atlasing of the developing human brain. Neuroimage. 125: 456-478. PMID 26499811 DOI: 10.1016/j.neuroimage.2015.10.047 |
0.01 |
|
| 2015 |
de Marvao A, Dawes TJ, Shi W, Durighel G, Rueckert D, Cook SA, O'Regan DP. Precursors of Hypertensive Heart Phenotype Develop in Healthy Adults: A High-Resolution 3D MRI Study. Jacc. Cardiovascular Imaging. PMID 26476505 DOI: 10.1016/j.jcmg.2015.08.007 |
0.01 |
|
| 2015 |
Bai W, Shi W, de Marvao A, Dawes TJ, O'Regan DP, Cook SA, Rueckert D. A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion. Medical Image Analysis. 26: 133-145. PMID 26387054 DOI: 10.1016/j.media.2015.08.009 |
0.01 |
|
| 2015 |
Heckemann RA, Ledig C, Gray KR, Aljabar P, Rueckert D, Hajnal JV, Hammers A. Correction: Brain Extraction Using Label Propagation and Group Agreement: Pincram. Plos One. 10: e0135746. PMID 26267800 DOI: 10.1371/journal.pone.0135746 |
0.01 |
|
| 2015 |
Parisot S, Arslan S, Passerat-Palmbach J, Wells WM, Rueckert D. Tractography-Driven Groupwise Multi-scale Parcellation of the Cortex. Information Processing in Medical Imaging : Proceedings of the ... Conference. 24: 600-12. PMID 26221706 DOI: 10.1007/978-3-319-19992-4_47 |
0.01 |
|
| 2015 |
Schmidt-Richberg A, Guerrero R, Ledig C, Molina-Abril H, Frangi AF, Rueckert D. Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease. Information Processing in Medical Imaging : Proceedings of the ... Conference. 24: 387-98. PMID 26221689 |
0.01 |
|
| 2015 |
Baumgartner CF, Gomez A, Koch LM, Housden JR, Kolbitsch C, McClelland JR, Rueckert D, King AP. Self-Aligning Manifolds for Matching Disparate Medical Image Datasets. Information Processing in Medical Imaging : Proceedings of the ... Conference. 24: 363-74. PMID 26221687 |
0.01 |
|
| 2015 |
Koch LM, Rajchl M, Tong T, Passerat-Palmbach J, Aljabar P, Rueckert D. Multi-atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data. Information Processing in Medical Imaging : Proceedings of the ... Conference. 24: 221-32. PMID 26221676 |
0.01 |
|
| 2015 |
Arslan S, Parisot S, Rueckert D. Joint Spectral Decomposition for the Parcellation of the Human Cerebral Cortex Using Resting-State fMRI. Information Processing in Medical Imaging : Proceedings of the ... Conference. 24: 85-97. PMID 26221668 DOI: 10.1007/978-3-319-19992-4_7 |
0.01 |
|
| 2015 |
Heckemann RA, Ledig C, Gray KR, Aljabar P, Rueckert D, Hajnal JV, Hammers A. Brain Extraction Using Label Propagation and Group Agreement: Pincram. Plos One. 10: e0129211. PMID 26161961 DOI: 10.1371/journal.pone.0129211 |
0.01 |
|
| 2015 |
Zhuang X, Bai W, Song J, Zhan S, Qian X, Shi W, Lian Y, Rueckert D. Multiatlas whole heart segmentation of CT data using conditional entropy for atlas ranking and selection. Medical Physics. 42: 3822. PMID 26133584 DOI: 10.1118/1.4921366 |
0.01 |
|
| 2015 |
Wright R, Makropoulos A, Kyriakopoulou V, Patkee PA, Koch LM, Rutherford MA, Hajnal JV, Rueckert D, Aljabar P. Construction of a fetal spatio-temporal cortical surface atlas from in utero MRI: Application of spectral surface matching. Neuroimage. 120: 467-80. PMID 26070259 DOI: 10.1016/j.neuroimage.2015.05.087 |
0.01 |
|
| 2015 |
Tong T, Wolz R, Wang Z, Gao Q, Misawa K, Fujiwara M, Mori K, Hajnal JV, Rueckert D. Discriminative dictionary learning for abdominal multi-organ segmentation. Medical Image Analysis. 23: 92-104. PMID 25988490 DOI: 10.1016/j.media.2015.04.015 |
0.01 |
|
| 2015 |
Braga RM, Roze E, Ball G, Merchant N, Tusor N, Arichi T, Edwards D, Rueckert D, Counsell SJ. Development of the Corticospinal and Callosal Tracts from Extremely Premature Birth up to 2 Years of Age. Plos One. 10: e0125681. PMID 25955638 DOI: 10.1371/Journal.Pone.0125681 |
0.01 |
|
| 2015 |
Gomez A, De Vecchi A, Jantsch M, Shi W, Pushparajah K, Simpson J, Smith N, Rueckert D, Schaeffter T, Penney G. 4D Blood Flow Reconstruction over the Entire Ventricle from Wall Motion and Blood Velocity Derived from Ultrasound Data. Ieee Transactions On Medical Imaging. PMID 25955584 DOI: 10.1109/TMI.2015.2428932 |
0.01 |
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| 2015 |
Newcombe VF, Correia MM, Ledig C, Abate MG, Outtrim JG, Chatfield D, Geeraerts T, Manktelow AE, Garyfallidis E, Pickard JD, Sahakian BJ, Hutchinson PJ, Rueckert D, Coles JP, Williams GB, et al. Dynamic Changes in White Matter Abnormalities Correlate With Late Improvement and Deterioration Following TBI: A Diffusion Tensor Imaging Study. Neurorehabilitation and Neural Repair. PMID 25921349 DOI: 10.1177/1545968315584004 |
0.01 |
|
| 2015 |
Cardoso MJ, Modat M, Wolz R, Melbourne A, Cash D, Rueckert D, Ourselin S. Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion. Ieee Transactions On Medical Imaging. PMID 25879909 DOI: 10.1109/TMI.2015.2418298 |
0.01 |
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| 2015 |
Kainz B, Steinberger M, Wein W, Murgasova M, Malamateniou C, Keraudren K, Aljabar P, Rutherford M, Hajnal J, Rueckert D. Fast Volume Reconstruction from Motion Corrupted Stacks of 2D Slices. Ieee Transactions On Medical Imaging. PMID 25807565 DOI: 10.1109/TMI.2015.2415453 |
0.01 |
|
| 2015 |
Ledig C, Heckemann RA, Hammers A, Lopez JC, Newcombe VF, Makropoulos A, Lötjönen J, Menon DK, Rueckert D. Robust whole-brain segmentation: application to traumatic brain injury. Medical Image Analysis. 21: 40-58. PMID 25596765 DOI: 10.1016/J.Media.2014.12.003 |
0.01 |
|
| 2015 |
Išgum I, Benders MJ, Avants B, Cardoso MJ, Counsell SJ, Gomez EF, Gui L, H?ppi PS, Kersbergen KJ, Makropoulos A, Melbourne A, Moeskops P, Mol CP, Kuklisova-Murgasova M, Rueckert D, et al. Evaluation of automatic neonatal brain segmentation algorithms: the NeoBrainS12 challenge. Medical Image Analysis. 20: 135-51. PMID 25487610 DOI: 10.1016/J.Media.2014.11.001 |
0.01 |
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| 2015 |
Petitjean C, Zuluaga MA, Bai W, Dacher JN, Grosgeorge D, Caudron J, Ruan S, Ayed IB, Cardoso MJ, Chen HC, Jimenez-Carretero D, Ledesma-Carbayo MJ, Davatzikos C, Doshi J, Erus G, ... ... Rueckert D, et al. Right ventricle segmentation from cardiac MRI: a collation study. Medical Image Analysis. 19: 187-202. PMID 25461337 DOI: 10.1016/J.Media.2014.10.004 |
0.01 |
|
| 2015 |
Bai W, Shi W, Ledig C, Rueckert D. Multi-atlas segmentation with augmented features for cardiac MR images. Medical Image Analysis. 19: 98-109. PMID 25299433 DOI: 10.1016/j.media.2014.09.005 |
0.01 |
|
| 2015 |
Wu X, Housden J, Ma Y, Razavi B, Rhode K, Rueckert D. Fast catheter segmentation from echocardiographic sequences based on segmentation from corresponding X-ray fluoroscopy for cardiac catheterization interventions. Ieee Transactions On Medical Imaging. 34: 861-76. PMID 25291790 DOI: 10.1109/TMI.2014.2360988 |
0.01 |
|
| 2015 |
Vasylechko S, Malamateniou C, Nunes RG, Fox M, Allsop J, Rutherford M, Rueckert D, Hajnal JV. T2* relaxometry of fetal brain at 1.5 Tesla using a motion tolerant method. Magnetic Resonance in Medicine. 73: 1795-802. PMID 25046845 DOI: 10.1002/mrm.25299 |
0.01 |
|
| 2015 |
Wu G, Coupé P, Zhan Y, Rueckert D, Munsell B. Patch-Based Techniques in Medical Imaging: First International Workshop, Patch-MI 2015 Held in Conjunction with MICCAI 2015 Munich, Germany, October 9, 2015 Revised Selected Papers Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9467. DOI: 10.1007/978-3-319-28194-0 |
0.01 |
|
| 2015 |
Guerrero R, Ledig C, Schmidt-Richberg A, Rueckert D. Group-constrained Laplacian Eigenmaps: Longitudinal AD biomarker learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9352: 178-185. DOI: 10.1007/978-3-319-24888-2_22 |
0.01 |
|
| 2015 |
Tong T, Gray K, Gao Q, Chen L, Rueckert D. Nonlinear graph fusion for multi-modal classification of Alzheimer’s disease Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9352: 77-84. DOI: 10.1007/978-3-319-24888-2_10 |
0.01 |
|
| 2015 |
Arslan S, Rueckert D. Multi-level parcellation of the cerebral cortex using resting-state fMRI Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9351: 47-54. DOI: 10.1007/978-3-319-24574-4_6 |
0.01 |
|
| 2015 |
Parisot S, Rajchl M, Passerat-Palmbach J, Rueckert D. A continuous flow-maximisation approach to connectivity-driven cortical parcellation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9351: 165-172. DOI: 10.1007/978-3-319-24574-4_20 |
0.01 |
|
| 2015 |
Oktay O, Gomez A, Keraudren K, Schuh A, Bai W, Shi W, Penney G, Rueckert D. Probabilistic edge map (PEM) for 3D ultrasound image registration and multi-atlas left ventricle segmentation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9126: 223-230. DOI: 10.1007/978-3-319-20309-6_26 |
0.01 |
|
| 2015 |
Chabiniok R, Bhatia KK, King AP, Rueckert D, Smith N. Manifold learning for cardiac modeling and estimation framework Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8896: 284-294. DOI: 10.1007/978-3-319-14678-2_30 |
0.01 |
|
| 2015 |
Rueckert D, Aljabar P. Non-rigid registration using free-form deformations Handbook of Biomedical Imaging: Methodologies and Clinical Research. 277-294. DOI: 10.1007/978-0-387-09749-7_15 |
0.01 |
|
| 2015 |
Coupé P, Wu G, Zhan Y, Rueckert D, Munsell B. Preface Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9467. |
0.01 |
|
| 2014 |
Karim R, Arujuna A, Housden RJ, Gill J, Cliffe H, Matharu K, Gill J, Rindaldi CA, O'Neill M, Rueckert D, Razavi R, Schaeffter T, Rhode K. A Method to Standardize Quantification of Left Atrial Scar From Delayed-Enhancement MR Images. Ieee Journal of Translational Engineering in Health and Medicine. 2: 1800615. PMID 27170868 DOI: 10.1109/JTEHM.2014.2312191 |
0.01 |
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| 2014 |
Kainz B, Malamateniou C, Murgasova M, Keraudren K, Rutherford M, Hajnal JV, Rueckert D. Motion corrected 3D reconstruction of the fetal thorax from prenatal MRI. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 17: 284-91. PMID 25485390 DOI: 10.1007/978-3-319-10470-6_36 |
0.01 |
|
| 2014 |
Wang Z, Bhatia KK, Glocker B, Marvao A, Dawes T, Misawa K, Mori K, Rueckert D. Geodesic patch-based segmentation. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 17: 666-73. PMID 25333176 |
0.01 |
|
| 2014 |
Caballero J, Bai W, Price AN, Rueckert D, Hajnal JV. Application-driven MRI: joint reconstruction and segmentation from undersampled MRI data. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 17: 106-13. PMID 25333107 |
0.01 |
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| 2014 |
Sohal M, Duckett SG, Zhuang X, Shi W, Ginks M, Shetty A, Sammut E, Kozerke S, Niederer S, Smith N, Ourselin S, Rinaldi CA, Rueckert D, Carr-White G, Razavi R. A prospective evaluation of cardiovascular magnetic resonance measures of dyssynchrony in the prediction of response to cardiac resynchronization therapy. Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society For Cardiovascular Magnetic Resonance. 16: 58. PMID 25084814 DOI: 10.1186/s12968-014-0058-0 |
0.01 |
|
| 2014 |
Keraudren K, Kuklisova-Murgasova M, Kyriakopoulou V, Malamateniou C, Rutherford MA, Kainz B, Hajnal JV, Rueckert D. Automated fetal brain segmentation from 2D MRI slices for motion correction. Neuroimage. 101: 633-43. PMID 25058899 DOI: 10.1016/j.neuroimage.2014.07.023 |
0.01 |
|
| 2014 |
Wolz R, Schwarz AJ, Yu P, Cole PE, Rueckert D, Jack CR, Raunig D, Hill D. Robustness of automated hippocampal volumetry across magnetic resonance field strengths and repeat images. Alzheimer's & Dementia : the Journal of the Alzheimer's Association. 10: 430-8.e2. PMID 24985688 DOI: 10.1016/J.Jalz.2013.09.014 |
0.01 |
|
| 2014 |
Baumgartner CF, Kolbitsch C, Balfour DR, Marsden PK, McClelland JR, Rueckert D, King AP. High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment. Medical Image Analysis. 18: 939-52. PMID 24972374 DOI: 10.1016/j.media.2014.05.010 |
0.01 |
|
| 2014 |
Bentley P, Ganesalingam J, Carlton Jones AL, Mahady K, Epton S, Rinne P, Sharma P, Halse O, Mehta A, Rueckert D. Prediction of stroke thrombolysis outcome using CT brain machine learning. Neuroimage. Clinical. 4: 635-40. PMID 24936414 DOI: 10.1016/j.nicl.2014.02.003 |
0.01 |
|
| 2014 |
Tong T, Wolz R, Gao Q, Guerrero R, Hajnal JV, Rueckert D. Multiple instance learning for classification of dementia in brain MRI. Medical Image Analysis. 18: 808-18. PMID 24858570 DOI: 10.1016/j.media.2014.04.006 |
0.01 |
|
| 2014 |
Boardman JP, Walley A, Ball G, Takousis P, Krishnan ML, Hughes-Carre L, Aljabar P, Serag A, King C, Merchant N, Srinivasan L, Froguel P, Hajnal J, Rueckert D, Counsell S, et al. Common genetic variants and risk of brain injury after preterm birth. Pediatrics. 133: e1655-63. PMID 24819575 DOI: 10.1542/Peds.2013-3011 |
0.01 |
|
| 2014 |
Makropoulos A, Gousias IS, Ledig C, Aljabar P, Serag A, Hajnal JV, Edwards AD, Counsell SJ, Rueckert D. Automatic whole brain MRI segmentation of the developing neonatal brain. Ieee Transactions On Medical Imaging. 33: 1818-31. PMID 24816548 DOI: 10.1109/TMI.2014.2322280 |
0.01 |
|
| 2014 |
Ball G, Aljabar P, Zebari S, Tusor N, Arichi T, Merchant N, Robinson EC, Ogundipe E, Rueckert D, Edwards AD, Counsell SJ. Rich-club organization of the newborn human brain Proceedings of the National Academy of Sciences of the United States of America. 111: 7456-7461. PMID 24799693 DOI: 10.1073/pnas.1324118111 |
0.01 |
|
| 2014 |
Caballero J, Price AN, Rueckert D, Hajnal JV. Dictionary learning and time sparsity for dynamic MR data reconstruction. Ieee Transactions On Medical Imaging. 33: 979-94. PMID 24710166 DOI: 10.1109/TMI.2014.2301271 |
0.01 |
|
| 2014 |
Guerrero R, Wolz R, Rao AW, Rueckert D. Manifold population modeling as a neuro-imaging biomarker: application to ADNI and ADNI-GO. Neuroimage. 94: 275-86. PMID 24657351 DOI: 10.1016/j.neuroimage.2014.03.036 |
0.01 |
|
| 2014 |
de Marvao A, Dawes TJ, Shi W, Minas C, Keenan NG, Diamond T, Durighel G, Montana G, Rueckert D, Cook SA, O'Regan DP. Population-based studies of myocardial hypertrophy: high resolution cardiovascular magnetic resonance atlases improve statistical power. Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society For Cardiovascular Magnetic Resonance. 16: 16. PMID 24490638 DOI: 10.1186/1532-429X-16-16 |
0.01 |
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| 2014 |
Wright R, Kyriakopoulou V, Ledig C, Rutherford MA, Hajnal JV, Rueckert D, Aljabar P. Automatic quantification of normal cortical folding patterns from fetal brain MRI. Neuroimage. 91: 21-32. PMID 24473102 DOI: 10.1016/j.neuroimage.2014.01.034 |
0.01 |
|
| 2014 |
Zhang KY, Kedgley AE, Donoghue CR, Rueckert D, Bull AM. The relationship between lateral meniscus shape and joint contact parameters in the knee: a study using data from the Osteoarthritis Initiative. Arthritis Research & Therapy. 16: R27. PMID 24467794 DOI: 10.1186/ar4455 |
0.01 |
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| 2014 |
Bhatia KK, Rao A, Price AN, Wolz R, Hajnal JV, Rueckert D. Hierarchical manifold learning for regional image analysis. Ieee Transactions On Medical Imaging. 33: 444-61. PMID 24235274 DOI: 10.1109/TMI.2013.2287121 |
0.01 |
|
| 2014 |
Xi J, Shi W, Rueckert D, Razavi R, Smith NP, Lamata P. Understanding the need of ventricular pressure for the estimation of diastolic biomarkers. Biomechanics and Modeling in Mechanobiology. 13: 747-57. PMID 24092256 DOI: 10.1007/s10237-013-0531-y |
0.01 |
|
| 2014 |
Gao Q, Tong T, Rueckert D, Edwards PJE. Multi-atlas propagation via a manifold graph on a database of both labeled and unlabeled images Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9035. DOI: 10.1117/12.2044027 |
0.01 |
|
| 2014 |
Makropoulos A, Gousias IS, Ledig C, Aljabar P, Serag A, Hajnal JV, Edwards AD, Counsell SJ, Rueckert D. Automatic whole brain MRI segmentation of the developing neonatal brain Ieee Transactions On Medical Imaging. 33: 1818-1831. DOI: 10.1109/TMI.2014.2322280 |
0.01 |
|
| 2014 |
Ledig C, Shi W, Bai W, Rueckert D. Patch-based evaluation of image segmentation Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3065-3072. DOI: 10.1109/CVPR.2014.392 |
0.01 |
|
| 2014 |
Rueckert D, Schnabel JA. Registration and segmentation in medical imaging Studies in Computational Intelligence. 532: 137-156. DOI: 10.1007/978-3-642-44907-9_7 |
0.01 |
|
| 2014 |
Rueckert D, Wolz R, Aljabar P. Machine learning meets medical imaging: Learning and discovery of clinically useful information from images Computational Vision and Medical Image Processing Iv - Proceedings of Eccomas Thematic Conference On Computational Vision and Medical Image Processing, Vipimage 2013. 3-8. |
0.01 |
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| 2014 |
Pszczolkowski S, Zafeiriou S, Ledig C, Rueckert D. A robust similarity measure for nonrigid image registration with outliers 2014 Ieee 11th International Symposium On Biomedical Imaging, Isbi 2014. 568-571. |
0.01 |
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| 2014 |
Donoghue CR, Rao A, Bull AMJ, Rueckert D. Learning osteoarthritis imaging biomarkers using laplacian eigenmap embeddings with data from the OAI 2014 Ieee 11th International Symposium On Biomedical Imaging, Isbi 2014. 1011-1014. |
0.01 |
|
| 2014 |
Guerrero R, Ledig C, Rueckert D. Manifold alignment and transfer learning for classification of alzheimer’s disease Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8679: 77-84. |
0.01 |
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| 2014 |
Rao A, Ledig C, Newcombe V, Menon D, Rueckert D. Contusion segmentation from subjects with traumatic brain injury: A random forest framework 2014 Ieee 11th International Symposium On Biomedical Imaging, Isbi 2014. 333-336. |
0.01 |
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| 2014 |
Wu X, Housden J, Ma YL, Rhode K, Rueckert D. A fast catheter segmentation and tracking from echocardiographic sequences based on corresponding x-ray fluoroscopic image segmentation and hierarchical graph modelling 2014 Ieee 11th International Symposium On Biomedical Imaging, Isbi 2014. 951-954. |
0.01 |
|
| 2014 |
Baumgartner CF, Kolbitsch C, McClelland JR, Rueckert D, King AP. Autoadaptive motion modelling 2014 Ieee 11th International Symposium On Biomedical Imaging, Isbi 2014. 457-460. |
0.01 |
|
| 2014 |
Bhatia KK, Price AN, Shi W, Hajnal JV, Rueckert D. Super-resolution reconstruction of cardiac MRI using coupled dictionary learning 2014 Ieee 11th International Symposium On Biomedical Imaging, Isbi 2014. 947-950. |
0.01 |
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| 2014 |
Koikkalainen J, Lötjönen J, Ledig C, Rueckert D, Tenovuo O, Menon D. Automatic quantification of CT images for traumatic brain injury 2014 Ieee 11th International Symposium On Biomedical Imaging, Isbi 2014. 125-128. |
0.01 |
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| 2014 |
Kainz B, Keraudren K, Kyriakopoulou V, Rutherford M, Hajnal JV, Rueckert D. Fast fully automatic brain detection in fetal MRI using dense rotation invariant image descriptors 2014 Ieee 11th International Symposium On Biomedical Imaging, Isbi 2014. 1230-1233. |
0.01 |
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| 2013 |
Baumgartner CF, Kolbitsch C, McClelland JR, Rueckert D, King AP. Groupwise simultaneous manifold alignment for high-resolution dynamic MR imaging of respiratory motion. Information Processing in Medical Imaging : Proceedings of the ... Conference. 23: 232-43. PMID 24683972 DOI: 10.1007/978-3-642-38868-2_20 |
0.01 |
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| 2013 |
Tong T, Wolz R, Gao Q, Hajnal JV, Rueckert D. Multiple instance learning for classification of dementia in brain MRI. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 599-606. PMID 24579190 |
0.01 |
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| 2013 |
Chu C, Oda M, Kitasaka T, Misawa K, Fujiwara M, Hayashi Y, Nimura Y, Rueckert D, Mori K. Multi-organ segmentation based on spatially-divided probabilistic atlas from 3D abdominal CT images. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 165-72. PMID 24579137 |
0.01 |
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| 2013 |
Shi W, Caballero J, Ledig C, Zhuang X, Bai W, Bhatia K, de Marvao AM, Dawes T, O'Regan D, Rueckert D. Cardiac image super-resolution with global correspondence using multi-atlas patchmatch. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 9-16. PMID 24505738 |
0.01 |
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| 2013 |
Weiss N, Rueckert D, Rao A. Multiple sclerosis lesion segmentation using dictionary learning and sparse coding. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 735-42. PMID 24505733 DOI: 10.1007/978-3-642-40811-3_92 |
0.01 |
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| 2013 |
Keraudren K, Kyriakopoulou V, Rutherford M, Hajnal JV, Rueckert D. Localisation of the brain in fetal MRI using bundled SIFT features. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 582-9. PMID 24505714 DOI: 10.1007/978-3-642-40811-3_73 |
0.01 |
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| 2013 |
Schirmer M, Ball G, Counsell SJ, Edwards AD, Rueckert D, Hajnal JV, Aljabar P. Normalisation of neonatal brain network measures using stochastic approaches. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 574-581. PMID 24505713 DOI: 10.1007/978-3-642-40811-3_72 |
0.01 |
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| 2013 |
Liu L, Shi W, Rueckert D, Hu M, Ourselin S, Zhuang X. Model-guided directional minimal path for fully automatic extraction of coronary centerlines from cardiac CTA. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 542-9. PMID 24505709 DOI: 10.1007/978-3-642-40811-3_68 |
0.01 |
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| 2013 |
Antila K, Lötjönen J, Thurfjell L, Laine J, Massimini M, Rueckert D, Zubarev RA, Oreši? M, van Gils M, Mattila J, Hviid Simonsen A, Waldemar G, Soininen H. The PredictAD project: development of novel biomarkers and analysis software for early diagnosis of the Alzheimer's disease. Interface Focus. 3: 20120072. PMID 24427524 DOI: 10.1098/Rsfs.2012.0072 |
0.01 |
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| 2013 |
Karim R, Housden RJ, Balasubramaniam M, Chen Z, Perry D, Uddin A, Al-Beyatti Y, Palkhi E, Acheampong P, Obom S, Hennemuth A, Lu Y, Bai W, Shi W, Gao Y, ... ... Rueckert D, et al. Evaluation of current algorithms for segmentation of scar tissue from late gadolinium enhancement cardiovascular magnetic resonance of the left atrium: an open-access grand challenge. Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society For Cardiovascular Magnetic Resonance. 15: 105. PMID 24359544 DOI: 10.1186/1532-429X-15-105 |
0.01 |
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| 2013 |
Deligianni F, Varoquaux G, Thirion B, Sharp D, Ledig C, Leech R, Rueckert D. A framework for inter-subject prediction of functional connectivity from structural networks. Ieee Transactions On Medical Imaging. PMID 23934663 DOI: 10.1109/Tmi.2013.2276916 |
0.01 |
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| 2013 |
Ball G, Boardman JP, Arichi T, Merchant N, Rueckert D, Edwards AD, Counsell SJ. Testing the sensitivity of Tract-Based Spatial Statistics to simulated treatment effects in preterm neonates. Plos One. 8: e67706. PMID 23844070 DOI: 10.1371/journal.pone.0067706 |
0.01 |
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| 2013 |
Wolz R, Chu C, Misawa K, Fujiwara M, Mori K, Rueckert D. Automated abdominal multi-organ segmentation with subject-specific atlas generation. Ieee Transactions On Medical Imaging. 32: 1723-30. PMID 23744670 DOI: 10.1109/TMI.2013.2265805 |
0.01 |
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| 2013 |
Shi W, Jantsch M, Aljabar P, Pizarro L, Bai W, Wang H, O'Regan D, Zhuang X, Rueckert D. Temporal sparse free-form deformations. Medical Image Analysis. 17: 779-89. PMID 23743085 DOI: 10.1016/j.media.2013.04.010 |
0.01 |
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| 2013 |
Tobon-Gomez C, De Craene M, McLeod K, Tautz L, Shi W, Hennemuth A, Prakosa A, Wang H, Carr-White G, Kapetanakis S, Lutz A, Rasche V, Schaeffter T, Butakoff C, Friman O, ... ... Rueckert D, et al. Benchmarking framework for myocardial tracking and deformation algorithms: an open access database. Medical Image Analysis. 17: 632-48. PMID 23708255 DOI: 10.1016/j.media.2013.03.008 |
0.01 |
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| 2013 |
Malcolme-Lawes LC, Juli C, Karim R, Bai W, Quest R, Lim PB, Jamil-Copley S, Kojodjojo P, Ariff B, Davies DW, Rueckert D, Francis DP, Hunter R, Jones D, Boubertakh R, et al. Automated analysis of atrial late gadolinium enhancement imaging that correlates with endocardial voltage and clinical outcomes: a 2-center study. Heart Rhythm : the Official Journal of the Heart Rhythm Society. 10: 1184-91. PMID 23685170 DOI: 10.1016/j.hrthm.2013.04.030 |
0.01 |
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| 2013 |
Bai W, Shi W, O'Regan DP, Tong T, Wang H, Jamil-Copley S, Peters NS, Rueckert D. A probabilistic patch-based label fusion model for multi-atlas segmentation with registration refinement: application to cardiac MR images. Ieee Transactions On Medical Imaging. 32: 1302-15. PMID 23568495 DOI: 10.1109/TMI.2013.2256922 |
0.01 |
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| 2013 |
Gousias IS, Hammers A, Counsell SJ, Srinivasan L, Rutherford MA, Heckemann RA, Hajnal JV, Rueckert D, Edwards AD. Magnetic resonance imaging of the newborn brain: automatic segmentation of brain images into 50 anatomical regions. Plos One. 8: e59990. PMID 23565180 DOI: 10.1371/journal.pone.0059990 |
0.01 |
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| 2013 |
Pandit AS, Robinson E, Aljabar P, Ball G, Gousias IS, Wang Z, Hajnal JV, Rueckert D, Counsell SJ, Montana G, Edwards AD. Whole-brain mapping of structural connectivity in infants reveals altered connection strength associated with growth and preterm birth. Cerebral Cortex (New York, N.Y. : 1991). 24: 2324-33. PMID 23547135 DOI: 10.1093/cercor/bht086 |
0.01 |
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| 2013 |
Clerx L, van Rossum IA, Burns L, Knol DL, Scheltens P, Verhey F, Aalten P, Lapuerta P, van de Pol L, van Schijndel R, de Jong R, Barkhof F, Wolz R, Rueckert D, Bocchetta M, et al. Measurements of medial temporal lobe atrophy for prediction of Alzheimer's disease in subjects with mild cognitive impairment. Neurobiology of Aging. 34: 2003-13. PMID 23540941 DOI: 10.1016/J.Neurobiolaging.2013.02.002 |
0.01 |
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| 2013 |
Tong T, Wolz R, Coupé P, Hajnal JV, Rueckert D. Segmentation of MR images via discriminative dictionary learning and sparse coding: application to hippocampus labeling. Neuroimage. 76: 11-23. PMID 23523774 DOI: 10.1016/j.neuroimage.2013.02.069 |
0.01 |
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| 2013 |
Gao Q, Chang PL, Rueckert D, Ali SM, Cohen D, Pratt P, Mayer E, Yang GZ, Darzi A, Edwards PE. Modeling of the bony pelvis from MRI using a multi-atlas AE-SDM for registration and tracking in image-guided robotic prostatectomy. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 37: 183-94. PMID 23428829 DOI: 10.1016/J.Compmedimag.2013.01.001 |
0.01 |
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| 2013 |
Xi J, Lamata P, Niederer S, Land S, Shi W, Zhuang X, Ourselin S, Duckett SG, Shetty AK, Rinaldi CA, Rueckert D, Razavi R, Smith NP. The estimation of patient-specific cardiac diastolic functions from clinical measurements. Medical Image Analysis. 17: 133-46. PMID 23153619 DOI: 10.1016/j.media.2012.08.001 |
0.01 |
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| 2013 |
Gray KR, Aljabar P, Heckemann RA, Hammers A, Rueckert D. Random forest-based similarity measures for multi-modal classification of Alzheimer's disease. Neuroimage. 65: 167-75. PMID 23041336 DOI: 10.1016/j.neuroimage.2012.09.065 |
0.01 |
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| 2013 |
Ball G, Boardman JP, Aljabar P, Pandit A, Arichi T, Merchant N, Rueckert D, Edwards AD, Counsell SJ. The influence of preterm birth on the developing thalamocortical connectome. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior. 49: 1711-21. PMID 22959979 DOI: 10.1016/j.cortex.2012.07.006 |
0.01 |
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| 2013 |
Zhuang X, Shi W, Wang H, Rueckert D, Ourselin S. Computation on shape manifold for atlas generation: Application to whole heart segmentation of cardiac MRI Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8669. DOI: 10.1117/12.2007181 |
0.01 |
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| 2013 |
Ledig C, Heckemann RA, Hammers A, Rueckert D. Improving whole-brain segmentations through incorporating regional image intensity statistics Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8669. DOI: 10.1117/12.2006966 |
0.01 |
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| 2013 |
Guerrero R, Rueckert D. Data-specific feature point descriptor matching using dictionary learning and graphical models Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8669. DOI: 10.1117/12.2001622 |
0.01 |
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| 2013 |
Jantsch M, Rueckert D, Price AN, Hajnal JV. 3D cardiac cine reconstruction from free-breathing 2D real-time image acquisitions using iterative motion correction Proceedings - International Symposium On Biomedical Imaging. 812-815. DOI: 10.1109/ISBI.2013.6556599 |
0.01 |
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| 2013 |
Wu X, Housden J, Varma N, Ma Y, Rueckert D, Rhode K. Catheter tracking in 3D echocardiographic sequences based on tracking in 2D X-ray sequences for cardiac catheterization interventions Proceedings - International Symposium On Biomedical Imaging. 25-28. DOI: 10.1109/ISBI.2013.6556403 |
0.01 |
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| 2013 |
Wu X, Housden J, Ma Y, Rueckert D, Rhode KS. Real-time catheter extraction from 2D X-ray fluoroscopic and 3D echocardiographic images for cardiac interventions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7746: 198-206. DOI: 10.1007/978-3-642-36961-2_23 |
0.01 |
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| 2013 |
Wang Z, Wolz R, Tong T, Rueckert D. Spatially Aware Patch-based Segmentation (SAPS): An alternative patch-based segmentation framework Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7766: 93-103. DOI: 10.1007/978-3-642-36620-8_10 |
0.01 |
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| 2013 |
Wang Z, Donoghue C, Rueckert D. Patch-based segmentation without registration: Application to knee MRI Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8184: 98-105. DOI: 10.1007/978-3-319-02267-3_13 |
0.01 |
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| 2013 |
Rueckert DL. Fostering Confidence and Risk Taking in MA in TESOL Students via Community English Teaching Tesol Journal. 4: 514-533. DOI: 10.1002/TESJ.98 |
0.01 |
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| 2013 |
Ourselin S, Rueckert D, Smith N. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7945. |
0.01 |
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| 2013 |
Kim D, Rueckert D, Kim DJ, Seo D. Students' perceptions and experiences of mobile learning Language Learning and Technology. 17: 52-73. |
0.01 |
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| 2012 |
Shi W, Zhuang X, Pizarro L, Bai W, Wang H, Tung KP, Edwards P, Rueckert D. Registration using sparse free-form deformations. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 15: 659-66. PMID 23286105 DOI: 10.1007/978-3-642-33418-4_81 |
0.01 |
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| 2012 |
Cardoso MJ, Wolz R, Modat M, Fox NC, Rueckert D, Ourselin S. Geodesic information flows. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 15: 262-70. PMID 23286057 |
0.01 |
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| 2012 |
Bhatia KK, Rao A, Price AN, Wolz R, Hajnal J, Rueckert D. Hierarchical manifold learning. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 15: 512-9. PMID 23285590 |
0.01 |
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| 2012 |
Caballero J, Rueckert D, Hajnal JV. Dictionary learning and time sparsity in dynamic MRI. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 15: 256-63. PMID 23285559 |
0.01 |
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| 2012 |
Wolz R, Chu C, Misawa K, Mori K, Rueckert D. Multi-organ abdominal CT segmentation using hierarchically weighted subject-specific atlases. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 15: 10-7. PMID 23285529 |
0.01 |
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| 2012 |
Muñoz-Ruiz MÃ, Hartikainen P, Koikkalainen J, Wolz R, Julkunen V, Niskanen E, Herukka SK, Kivipelto M, Vanninen R, Rueckert D, Liu Y, Lötjönen J, Soininen H. Structural MRI in frontotemporal dementia: comparisons between hippocampal volumetry, tensor-based morphometry and voxel-based morphometry. Plos One. 7: e52531. PMID 23285078 DOI: 10.1371/journal.pone.0052531 |
0.01 |
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| 2012 |
van Rossum IA, Vos SJ, Burns L, Knol DL, Scheltens P, Soininen H, Wahlund LO, Hampel H, Tsolaki M, Minthon L, L'italien G, van der Flier WM, Teunissen CE, Blennow K, Barkhof F, ... Rueckert D, et al. Injury markers predict time to dementia in subjects with MCI and amyloid pathology. Neurology. 79: 1809-16. PMID 23019259 DOI: 10.1212/Wnl.0B013E3182704056 |
0.01 |
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| 2012 |
Mattila J, Soininen H, Koikkalainen J, Rueckert D, Wolz R, Waldemar G, Lötjönen J. Optimizing the diagnosis of early Alzheimer's disease in mild cognitive impairment subjects. Journal of Alzheimer's Disease : Jad. 32: 969-79. PMID 22890102 DOI: 10.3233/JAD-2012-120934 |
0.01 |
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| 2012 |
O'Regan DP, Shi W, Ariff B, Baksi AJ, Durighel G, Rueckert D, Cook SA. Remodeling after acute myocardial infarction: mapping ventricular dilatation using three dimensional CMR image registration. Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society For Cardiovascular Magnetic Resonance. 14: 41. PMID 22720881 DOI: 10.1186/1532-429X-14-41 |
0.01 |
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| 2012 |
Gousias IS, Edwards AD, Rutherford MA, Counsell SJ, Hajnal JV, Rueckert D, Hammers A. Magnetic resonance imaging of the newborn brain: manual segmentation of labelled atlases in term-born and preterm infants. Neuroimage. 62: 1499-509. PMID 22713673 DOI: 10.1016/j.neuroimage.2012.05.083 |
0.01 |
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| 2012 |
Keihaninejad S, Heckemann RA, Gousias IS, Hajnal JV, Duncan JS, Aljabar P, Rueckert D, Hammers A. Classification and lateralization of temporal lobe epilepsies with and without hippocampal atrophy based on whole-brain automatic MRI segmentation. Plos One. 7: e33096. PMID 22523539 DOI: 10.1371/journal.pone.0033096 |
0.01 |
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| 2012 |
Shi W, Zhuang X, Wang H, Duckett S, Luong DV, Tobon-Gomez C, Tung K, Edwards PJ, Rhode KS, Razavi RS, Ourselin S, Rueckert D. A comprehensive cardiac motion estimation framework using both untagged and 3-D tagged MR images based on nonrigid registration. Ieee Transactions On Medical Imaging. 31: 1263-75. PMID 22345530 DOI: 10.1109/TMI.2012.2188104 |
0.01 |
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| 2012 |
Vos S, van Rossum I, Burns L, Knol D, Scheltens P, Soininen H, Wahlund LO, Hampel H, Tsolaki M, Minthon L, Handels R, L'Italien G, van der Flier W, Aalten P, Teunissen C, ... ... Rueckert D, et al. Test sequence of CSF and MRI biomarkers for prediction of AD in subjects with MCI. Neurobiology of Aging. 33: 2272-81. PMID 22264648 DOI: 10.1016/J.Neurobiolaging.2011.12.017 |
0.01 |
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| 2012 |
Wolz R, Aljabar P, Hajnal JV, Lötjönen J, Rueckert D. Nonlinear dimensionality reduction combining MR imaging with non-imaging information. Medical Image Analysis. 16: 819-30. PMID 22244037 DOI: 10.1016/j.media.2011.12.003 |
0.01 |
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| 2012 |
Gray KR, Wolz R, Heckemann RA, Aljabar P, Hammers A, Rueckert D. Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease. Neuroimage. 60: 221-9. PMID 22236449 DOI: 10.1016/j.neuroimage.2011.12.071 |
0.01 |
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| 2012 |
Vounou M, Janousova E, Wolz R, Stein JL, Thompson PM, Rueckert D, Montana G. Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease. Neuroimage. 60: 700-16. PMID 22209813 DOI: 10.1016/J.Neuroimage.2011.12.029 |
0.01 |
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| 2012 |
Soininen H, Mattila J, Koikkalainen J, van Gils M, Hviid Simonsen A, Waldemar G, Rueckert D, Thurfjell L, Lötjönen J. Software tool for improved prediction of Alzheimer's disease. Neuro-Degenerative Diseases. 10: 149-52. PMID 22156511 DOI: 10.1159/000332600 |
0.01 |
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| 2012 |
van der Lijn F, Verhaaren BF, Ikram MA, Klein S, de Bruijne M, Vrooman HA, Vernooij MW, Hammers A, Rueckert D, van der Lugt A, Breteler MM, Niessen WJ. Automated measurement of local white matter lesion volume. Neuroimage. 59: 3901-8. PMID 22116036 DOI: 10.1016/J.Neuroimage.2011.11.021 |
0.01 |
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| 2012 |
Serag A, Aljabar P, Ball G, Counsell SJ, Boardman JP, Rutherford MA, Edwards AD, Hajnal JV, Rueckert D. Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression. Neuroimage. 59: 2255-65. PMID 21985910 DOI: 10.1016/j.neuroimage.2011.09.062 |
0.01 |
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| 2012 |
Ball G, Boardman JP, Rueckert D, Aljabar P, Arichi T, Merchant N, Gousias IS, Edwards AD, Counsell SJ. The effect of preterm birth on thalamic and cortical development. Cerebral Cortex (New York, N.Y. : 1991). 22: 1016-24. PMID 21772018 DOI: 10.1093/cercor/bhr176 |
0.01 |
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| 2012 |
Hu M, Penney G, Figl M, Edwards P, Bello F, Casula R, Rueckert D, Hawkes D. Reconstruction of a 3D surface from video that is robust to missing data and outliers: application to minimally invasive surgery using stereo and mono endoscopes. Medical Image Analysis. 16: 597-611. PMID 21195656 DOI: 10.1016/j.media.2010.11.002 |
0.01 |
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| 2012 |
Dhutia NM, Cole GD, Willson K, Rueckert D, Parker KH, Hughes AD, Francis DP. A new automated system to identify a consistent sampling position to make tissue Doppler and transmitral Doppler measurements of E, E' and E/E'. International Journal of Cardiology. 155: 394-9. PMID 21093935 DOI: 10.1016/J.Ijcard.2010.10.048 |
0.01 |
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| 2012 |
Jantsch M, Rueckert D, Hajnal J. 4D cardiac volume reconstruction from free-breathing 2D real-time image acquisitions using iterative motion correction 2012 Imperial College Computing Student Workshop, Iccsw 2012. 28: 69-74. DOI: 10.4230/OASIcs.ICCSW.2012.69 |
0.01 |
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| 2012 |
Bhatia KK, Price AN, Hajnal JV, Rueckert D. Localised manifold learning for cardiac image analysis Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8314. DOI: 10.1117/12.911455 |
0.01 |
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| 2012 |
Pszczolkowski S, Pizarro L, Guerrero R, Rueckert D. Nonrigid free-form registration using landmark-based statistical deformation models Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8314. DOI: 10.1117/12.911441 |
0.01 |
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| 2012 |
Gousias IS, Hammers A, Counsell SJ, Edwards AD, Rueckert D. Automatic segmentation of pediatric brain MRIs using a maximum probability pediatric atlas Ist 2012 - 2012 Ieee International Conference On Imaging Systems and Techniques, Proceedings. 95-100. DOI: 10.1109/IST.2012.6295511 |
0.01 |
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| 2012 |
Frangi A, Santos A, Ober R, Rueckert D. Welcome Proceedings - International Symposium On Biomedical Imaging. iii-v. DOI: 10.1109/ISBI.2012.6235941 |
0.01 |
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| 2012 |
Guerrero R, Pizarro L, Wolz R, Rueckert D. Landmark localisation in brain MR images using feature point descriptors based on 3D local self-similarities Proceedings - International Symposium On Biomedical Imaging. 1535-1538. DOI: 10.1109/ISBI.2012.6235865 |
0.01 |
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| 2012 |
Serag A, Aljabar P, Counsell S, Boardman J, Hajnal JV, Rueckert D. LISA: Longitudinal image registration via spatio-temporal atlases Proceedings - International Symposium On Biomedical Imaging. 334-337. DOI: 10.1109/ISBI.2012.6235552 |
0.01 |
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| 2012 |
Donoghue CR, Rao A, Pizarro L, Bull AMJ, Rueckert D. Fast and accurate global geodesic registrations using knee MRI from the Osteoarthritis Initiative Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops. 50-57. DOI: 10.1109/CVPRW.2012.6239247 |
0.01 |
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| 2012 |
Sandbach G, Zafeiriou S, Pantic M, Rueckert D. Recognition of 3D facial expression dynamics Image and Vision Computing. 30: 762-773. DOI: 10.1016/j.imavis.2012.01.006 |
0.01 |
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| 2012 |
Vialard FX, Risser L, Rueckert D, Cotter CJ. Diffeomorphic 3D image registration via geodesic shooting using an efficient adjoint calculation International Journal of Computer Vision. 97: 229-241. DOI: 10.1007/s11263-011-0481-8 |
0.01 |
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| 2012 |
Pszczolkowski S, Pizarro L, O'Regan DP, Rueckert D. Gradient projection learning for parametric nonrigid registration Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7588: 226-233. DOI: 10.1007/978-3-642-35428-1_28 |
0.01 |
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| 2012 |
Guerrero R, Donoghue CR, Pizarro L, Rueckert D. Learning correspondences in knee MR images from the osteoarthritis initiative Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7588: 218-225. DOI: 10.1007/978-3-642-35428-1_27 |
0.01 |
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| 2012 |
Luong DVN, Parpas P, Rueckert D, Rustem B. Solving MRF minimization by mirror descent Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7431: 587-598. DOI: 10.1007/978-3-642-33179-4_56 |
0.01 |
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| 2012 |
Donoghue CR, Rao A, Bull AMJ, Rueckert D. Robust global registration through geodesic paths on an empirical manifold with knee MRI from the Osteoarthritis Initiative (OAI) Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7359: 1-10. DOI: 10.1007/978-3-642-31340-0_1 |
0.01 |
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| 2012 |
Dawant BM, Christensen GE, Fitzpatrick JM, Rueckert D. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7359. DOI: 10.1007/978-3-642-31340-0 |
0.01 |
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| 2011 |
Wolz R, Julkunen V, Koikkalainen J, Niskanen E, Zhang DP, Rueckert D, Soininen H, Lötjönen J. Multi-method analysis of MRI images in early diagnostics of Alzheimer's disease. Plos One. 6: e25446. PMID 22022397 DOI: 10.1371/journal.pone.0025446 |
0.01 |
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| 2011 |
Guerrero R, Wolz R, Rueckert D. Laplacian Eigenmaps manifold learning for landmark localization in brain MR images. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 14: 566-73. PMID 21995074 DOI: 10.1007/978-3-642-23629-7_69 |
0.01 |
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| 2011 |
Aljabar P, Wolz R, Srinivasan L, Counsell SJ, Rutherford MA, Edwards AD, Hajnal JV, Rueckert D. A combined manifold learning analysis of shape and appearance to characterize neonatal brain development. Ieee Transactions On Medical Imaging. 30: 2072-86. PMID 21788184 DOI: 10.1109/TMI.2011.2162529 |
0.01 |
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| 2011 |
Deligianni F, Varoquaux G, Thirion B, Robinson E, Sharp DJ, Edwards AD, Rueckert D. A probabilistic framework to infer brain functional connectivity from anatomical connections. Information Processing in Medical Imaging : Proceedings of the ... Conference. 22: 296-307. PMID 21761665 DOI: 10.1007/978-3-642-22092-0_25 |
0.01 |
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| 2011 |
Risser L, Vialard FX, Wolz R, Murgasova M, Holm DD, Rueckert D. Simultaneous multi-scale registration using large deformation diffeomorphic metric mapping. Ieee Transactions On Medical Imaging. 30: 1746-59. PMID 21521665 DOI: 10.1109/TMI.2011.2146787 |
0.01 |
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| 2011 |
Koikkalainen J, Lötjönen J, Thurfjell L, Rueckert D, Waldemar G, Soininen H. Multi-template tensor-based morphometry: application to analysis of Alzheimer's disease. Neuroimage. 56: 1134-44. PMID 21419228 DOI: 10.1016/j.neuroimage.2011.03.029 |
0.01 |
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| 2011 |
Heckemann RA, Keihaninejad S, Aljabar P, Gray KR, Nielsen C, Rueckert D, Hajnal JV, Hammers A. Automatic morphometry in Alzheimer's disease and mild cognitive impairment. Neuroimage. 56: 2024-37. PMID 21397703 DOI: 10.1016/j.neuroimage.2011.03.014 |
0.01 |
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| 2011 |
Lötjönen J, Wolz R, Koikkalainen J, Julkunen V, Thurfjell L, Lundqvist R, Waldemar G, Soininen H, Rueckert D. Fast and robust extraction of hippocampus from MR images for diagnostics of Alzheimer's disease. Neuroimage. 56: 185-96. PMID 21281717 DOI: 10.1016/j.neuroimage.2011.01.062 |
0.01 |
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| 2011 |
Kuklisova-Murgasova M, Aljabar P, Srinivasan L, Counsell SJ, Doria V, Serag A, Gousias IS, Boardman JP, Rutherford MA, Edwards AD, Hajnal JV, Rueckert D. A dynamic 4D probabilistic atlas of the developing brain. Neuroimage. 54: 2750-63. PMID 20969966 DOI: 10.1016/j.neuroimage.2010.10.019 |
0.01 |
|
| 2011 |
Donoghue C, Rao A, Bull AMJ, Rueckert D. Manifold learning for automatically predicting articular cartilage morphology in the knee with data from the osteoarthritis initiative (OAI) Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7962. DOI: 10.1117/12.878266 |
0.01 |
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| 2011 |
Zhang DP, Zhuang X, Ourselin S, Rueckert D. Motion tracking of left ventricle and coronaries in 4D CTA Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7962. DOI: 10.1117/12.877946 |
0.01 |
|
| 2011 |
Luong DVN, Rueckert D, Rustem B. Incorporating hard constraints into non-rigid registration via nonlinear programming Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7962. DOI: 10.1117/12.877771 |
0.01 |
|
| 2011 |
Pizarro L, Delpiano J, Aljabar P, Ruiz-Del-Solar J, Rueckert D. Towards dense motion estimation in light and electron microscopy Proceedings - International Symposium On Biomedical Imaging. 1939-1942. DOI: 10.1109/ISBI.2011.5872789 |
0.01 |
|
| 2011 |
Wolz R, Aljabar P, Hajnal JV, Lötjönen J, Rueckert D. Manifold learning combining imaging with non-imaging information Proceedings - International Symposium On Biomedical Imaging. 1637-1640. DOI: 10.1109/ISBI.2011.5872717 |
0.01 |
|
| 2011 |
Serag A, Aljabar P, Counsell S, Boardman J, Hajnal JV, Rueckert D. Construction of a 4D atlas of the developing brain using non-rigid registration Proceedings - International Symposium On Biomedical Imaging. 1532-1535. DOI: 10.1109/ISBI.2011.5872693 |
0.01 |
|
| 2011 |
Deligianni F, Robinson E, Sharp D, Edwards AD, Rueckert D, Alexander DC. Exploiting hierarchy in structural brain networks Proceedings - International Symposium On Biomedical Imaging. 871-874. DOI: 10.1109/ISBI.2011.5872542 |
0.01 |
|
| 2011 |
Deligianni F, Robinson E, Beckmann CF, Sharp D, Edwards AD, Rueckert D. Inference of functional connectivity from direct and indirect structural brain connections Proceedings - International Symposium On Biomedical Imaging. 849-852. DOI: 10.1109/ISBI.2011.5872537 |
0.01 |
|
| 2011 |
Tung KP, Shi WZ, De Silva R, Edwards E, Rueckert D. Automatical vessel wall detection in intravascular coronary OCT Proceedings - International Symposium On Biomedical Imaging. 610-613. DOI: 10.1109/ISBI.2011.5872481 |
0.01 |
|
| 2011 |
Serag A, Aljabar P, Counsell S, Boardman J, Hajnal JV, Rueckert D. Tracking developmental changes in subcortical structures of the preterm brain using multi-modal MRI Proceedings - International Symposium On Biomedical Imaging. 349-352. DOI: 10.1109/ISBI.2011.5872421 |
0.01 |
|
| 2011 |
Sandbach G, Zafeiriou S, Pantic M, Rueckert D. A dynamic approach to the recognition of 3D facial expressions and their temporal models 2011 Ieee International Conference On Automatic Face and Gesture Recognition and Workshops, Fg 2011. 406-413. DOI: 10.1109/FG.2011.5771434 |
0.01 |
|
| 2011 |
Gray KR, Aljabar P, Heckemann RA, Hammers A, Rueckert D. Random forest-based manifold learning for classification of imaging data in dementia Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7009: 159-166. DOI: 10.1007/978-3-642-24319-6_20 |
0.01 |
|
| 2011 |
Garg R, Pizarro L, Rueckert D, Agapito L. Dense multi-frame optic flow for non-rigid objects using subspace constraints Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6495: 460-473. DOI: 10.1007/978-3-642-19282-1_37 |
0.01 |
|
| 2011 |
Rueckert D. The need for need: What professional baseball can teach English language classrooms Journal For the Liberal Arts and Sciences. 16: 85-98. |
0.01 |
|
| 2010 |
Risser L, Vialard FX, Wolz R, Holm DD, Rueckert D. Simultaneous fine and coarse diffeomorphic registration: application to atrophy measurement in Alzheimer's disease. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 13: 610-7. PMID 20879366 DOI: 10.1007/978-3-642-15745-5_75 |
0.01 |
|
| 2010 |
Rueckert D, Hawkes D, Gerig G, Yang GZ. Editorial. Medical Image Analysis. 14: 631-2. PMID 20627174 DOI: 10.1016/j.media.2010.06.008 |
0.01 |
|
| 2010 |
Ball G, Counsell SJ, Anjari M, Merchant N, Arichi T, Doria V, Rutherford MA, Edwards AD, Rueckert D, Boardman JP. An optimised tract-based spatial statistics protocol for neonates: applications to prematurity and chronic lung disease. Neuroimage. 53: 94-102. PMID 20510375 DOI: 10.1016/j.neuroimage.2010.05.055 |
0.01 |
|
| 2010 |
Boardman JP, Craven C, Valappil S, Counsell SJ, Dyet LE, Rueckert D, Aljabar P, Rutherford MA, Chew AT, Allsop JM, Cowan F, Edwards AD. A common neonatal image phenotype predicts adverse neurodevelopmental outcome in children born preterm. Neuroimage. 52: 409-14. PMID 20451627 DOI: 10.1016/j.neuroimage.2010.04.261 |
0.01 |
|
| 2010 |
Wolz R, Heckemann RA, Aljabar P, Hajnal JV, Hammers A, Lötjönen J, Rueckert D. Measurement of hippocampal atrophy using 4D graph-cut segmentation: application to ADNI. Neuroimage. 52: 109-18. PMID 20382238 DOI: 10.1016/j.neuroimage.2010.04.006 |
0.01 |
|
| 2010 |
Heckemann RA, Keihaninejad S, Aljabar P, Rueckert D, Hajnal JV, Hammers A. Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation. Neuroimage. 51: 221-7. PMID 20114079 DOI: 10.1016/j.neuroimage.2010.01.072 |
0.01 |
|
| 2010 |
Robinson EC, Hammers A, Ericsson A, Edwards AD, Rueckert D. Identifying population differences in whole-brain structural networks: a machine learning approach. Neuroimage. 50: 910-9. PMID 20079440 DOI: 10.1016/j.neuroimage.2010.01.019 |
0.01 |
|
| 2010 |
Lötjönen JM, Wolz R, Koikkalainen JR, Thurfjell L, Waldemar G, Soininen H, Rueckert D. Fast and robust multi-atlas segmentation of brain magnetic resonance images. Neuroimage. 49: 2352-65. PMID 19857578 DOI: 10.1016/j.neuroimage.2009.10.026 |
0.01 |
|
| 2010 |
Wolz R, Aljabar P, Hajnal JV, Hammers A, Rueckert D. LEAP: learning embeddings for atlas propagation. Neuroimage. 49: 1316-25. PMID 19815080 DOI: 10.1016/j.neuroimage.2009.09.069 |
0.01 |
|
| 2010 |
Figl M, Rueckert D, Hawkes D, Casula R, Hu M, Pedro O, Zhang DP, Penney G, Bello F, Edwards P. Image guidance for robotic minimally invasive coronary artery bypass. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 34: 61-8. PMID 19773147 DOI: 10.1016/j.compmedimag.2009.08.002 |
0.01 |
|
| 2010 |
Rueckert D, Aljabar P. Nonrigid registration of medical images: Theory, methods, and applications Ieee Signal Processing Magazine. 27: 113-119. DOI: 10.1109/MSP.2010.936850 |
0.01 |
|
| 2010 |
Robinson EC, Rueckert D, Hammers A, Edwards AD. Probabilistic white matter and fiber tract atlas construction 2010 7th Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2010 - Proceedings. 1153-1156. DOI: 10.1109/ISBI.2010.5490198 |
0.01 |
|
| 2010 |
Deligianni F, Robinson EC, Beckmann CF, Sharp D, Edwards AD, Rueckert D. Inference of functional connectivity from structural brain connectivity 2010 7th Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2010 - Proceedings. 1113-1116. DOI: 10.1109/ISBI.2010.5490188 |
0.01 |
|
| 2010 |
Risinger R, Berman RM, Coric V, Han J, Kaplita S, Burns L, Bhagwagar Z, Hill D, Wolz R, Rueckert D, Feldman H. P1‐387: Mild to moderate Alzheimer's disease (AD) clinical trials: The role of hippocampal atrophy as an inclusion criterion Alzheimer's & Dementia. 6. DOI: 10.1016/j.jalz.2010.05.941 |
0.01 |
|
| 2010 |
Wolz R, Aljabar P, Hajnal JV, Rueckert D. Manifold learning for biomarker discovery in MR imaging Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6357: 116-123. DOI: 10.1007/978-3-642-15948-0_15 |
0.01 |
|
| 2010 |
Shi W, Murgasova M, Edwards P, Rueckert D. Simultaneous reconstruction of 4-D myocardial motion from both tagged and untagged MR images using nonrigid image registration Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6326: 98-107. DOI: 10.1007/978-3-642-15699-1_11 |
0.01 |
|
| 2010 |
Zhang H, Yushkevich PA, Rueckert D, Gee JC. A computational white matter atlas for aging with surface-based representation of fasciculi Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6204: 83-90. DOI: 10.1007/978-3-642-14366-3_8 |
0.01 |
|
| 2010 |
Risser L, Vialard FX, Murgasova M, Holm D, Rueckert D. Large deformation diffeomorphic registration using fine and coarse strategies Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6204: 186-197. DOI: 10.1007/978-3-642-14366-3_17 |
0.01 |
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| 2009 |
Zhang H, Yushkevich PA, Rueckert D, Gee JC. Tensor-based morphometry of fibrous structures with application to human brain white matter. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12: 466-73. PMID 20426145 DOI: 10.1007/978-3-642-04271-3_57 |
0.01 |
|
| 2009 |
Hu M, Penney GP, Rueckert D, Edwards PJ, Bello F, Casula R, Figl M, Hawkes DJ. Non-rigid reconstruction of the beating heart surface for minimally invasive cardiac surgery. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12: 34-42. PMID 20425968 DOI: 10.1007/978-3-642-04268-3_5 |
0.01 |
|
| 2009 |
Sjögreen-Gleisner K, Rueckert D, Ljungberg M. Registration of serial SPECT/CT images for three-dimensional dosimetry in radionuclide therapy Physics in Medicine and Biology. 54: 6181-6200. PMID 19794243 DOI: 10.1088/0031-9155/54/20/010 |
0.01 |
|
| 2009 |
Jiang S, Xue H, Counsell S, Anjari M, Allsop J, Rutherford M, Rueckert D, Hajnal JV. Diffusion tensor imaging (DTI) of the brain in moving subjects: application to in-utero fetal and ex-utero studies. Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. 62: 645-55. PMID 19526505 DOI: 10.1002/mrm.22032 |
0.01 |
|
| 2009 |
Babalola KO, Patenaude B, Aljabar P, Schnabel J, Kennedy D, Crum W, Smith S, Cootes T, Jenkinson M, Rueckert D. An evaluation of four automatic methods of segmenting the subcortical structures in the brain. Neuroimage. 47: 1435-47. PMID 19463960 DOI: 10.1016/J.Neuroimage.2009.05.029 |
0.01 |
|
| 2009 |
Maheswaran S, Barjat H, Rueckert D, Bate ST, Howlett DR, Tilling L, Smart SC, Pohlmann A, Richardson JC, Hartkens T, Hill DL, Upton N, Hajnal JV, James MF. Longitudinal regional brain volume changes quantified in normal aging and Alzheimer's APP x PS1 mice using MRI. Brain Research. 1270: 19-32. PMID 19272356 DOI: 10.1016/j.brainres.2009.02.045 |
0.01 |
|
| 2009 |
Aljabar P, Heckemann RA, Hammers A, Hajnal JV, Rueckert D. Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy Neuroimage. 46: 726-738. PMID 19245840 DOI: 10.1016/j.neuroimage.2009.02.018 |
0.01 |
|
| 2009 |
Klein A, Andersson J, Ardekani BA, Ashburner J, Avants B, Chiang MC, Christensen GE, Collins DL, Gee J, Hellier P, Song JH, Jenkinson M, Lepage C, Rueckert D, Thompson P, et al. Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. Neuroimage. 46: 786-802. PMID 19195496 DOI: 10.1016/J.Neuroimage.2008.12.037 |
0.01 |
|
| 2009 |
Maheswaran S, Barjat H, Bate ST, Aljabar P, Hill DL, Tilling L, Upton N, James MF, Hajnal JV, Rueckert D. Analysis of serial magnetic resonance images of mouse brains using image registration. Neuroimage. 44: 692-700. PMID 19015039 DOI: 10.1016/j.neuroimage.2008.10.016 |
0.01 |
|
| 2009 |
Fig M, Rueckert D, Edwards E. Photo-consistency registration of a 4D cardiac motion model to endoscopic video for image guidance of robotic coronary artery bypass Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7261. DOI: 10.1117/12.813905 |
0.01 |
|
| 2009 |
Karima R, Mohiaddin R, Rueckert D. Left atrium pulmonary veins: segmentation and quantification for planning atrial fibrillation ablation Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7261. DOI: 10.1117/12.812509 |
0.01 |
|
| 2009 |
Zhang DP, Edwards E, Mei L, Rueckert D. 4D motion modeling of the coronary arteries from CT images for robotic assisted minimally invasive surgery Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7259. DOI: 10.1117/12.811518 |
0.01 |
|
| 2009 |
Tsoi KH, Rueckert D, Ho CH, Luk W. Reconfigurable acceleration of 3D image registration Proceedings - 2009 5th Southern Conference On Programmable Logic, Spl 2009. 95-100. DOI: 10.1109/SPL.2009.4914908 |
0.01 |
|
| 2009 |
Heckemann RA, Hammers A, Aljabar P, Rueckert D, Hajnal JV. The mirror method of assessing segmentation quality in atlas label propagation Proceedings - 2009 Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2009. 1194-1197. DOI: 10.1109/ISBI.2009.5193272 |
0.01 |
|
| 2009 |
Karim R, Rueckert D, Mohiaddin R, Drivas P. Automatic extraction of the left atrial anatomy from MR for atrial fibrillation ablation Proceedings - 2009 Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2009. 502-505. DOI: 10.1109/ISBI.2009.5193094 |
0.01 |
|
| 2009 |
Wolz R, Aljabar P, Rueckert D, Heckemann RA, Hammers A. Segmentation of subcortical structures and the hippocampus in brain MRI using graph-cuts and subject-specific a-priori information Proceedings - 2009 Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2009. 470-473. DOI: 10.1109/ISBI.2009.5193086 |
0.01 |
|
| 2009 |
Lötjönen J, Koikkalainen J, Thurfjell L, Rueckert D. Atlas-based registration parameters in segmenting sub-cortical regions from brain MRI-images Proceedings - 2009 Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2009. 21-24. DOI: 10.1109/ISBI.2009.5192973 |
0.01 |
|
| 2009 |
Murgasova M, Rueckert D, Edwards D, Hajnal J. Robust segmentation of brain structures in MRI Proceedings - 2009 Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2009. 17-20. DOI: 10.1109/ISBI.2009.5192972 |
0.01 |
|
| 2009 |
Figl M, Rueckert D, Edwards P. Registration of a cardiac motion model to video for augmented reality image guidance of coronary artery bypass Ifmbe Proceedings. 25: 1692-1694. DOI: 10.1007/978-3-642-03882-2-449 |
0.01 |
|
| 2008 |
Aljabar P, Rueckert D, Crum WR. Spectral clustering as a diagnostic tool in cross-sectional MR studies: an application to mild dementia Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11: 442-449. PMID 18982635 DOI: 10.1007/978-3-540-85990-1-53 |
0.01 |
|
| 2008 |
Xue H, Guehring J, Srinivasan L, Zuehlsdorff S, Saddi K, Chefdhotel C, Hajnal JV, Rueckert D. Evaluation of rigid and non-rigid motion compensation of cardiac perfusion MRI. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11: 35-43. PMID 18982587 DOI: 10.1007/978-3-540-85990-1_5 |
0.01 |
|
| 2008 |
Hu M, Penney G, Rueckert D, Edwards P, Figl M, Pratt P, Hawkes D. A novel algorithm for heart motion analysis based on geometric constraints. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11: 720-8. PMID 18979810 |
0.01 |
|
| 2008 |
Robinson EC, Valstar M, Hammers A, Ericsson A, Edwards AD, Rueckert D. Multivariate statistical analysis of whole brain structural networks obtained using probabilistic tractography. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11: 486-93. PMID 18979782 DOI: 10.1007/978-3-540-85988-8_58 |
0.01 |
|
| 2008 |
Mei L, Figl M, Rueckert D, Darzi A, Edwards P. Sample sufficiency and number of modes to retain in statistical shape modelling Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11: 425-433. PMID 18979775 DOI: 10.1007/978-3-540-85988-8_51 |
0.01 |
|
| 2008 |
Babalola KO, Patenaude B, Aljabar P, Schnabel J, Kennedy D, Crum W, Smith S, Cootes TF, Jenkinson M, Rueckert D. Comparison and evaluation of segmentation techniques for subcortical structures in brain MRI. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11: 409-16. PMID 18979773 DOI: 10.1007/978-3-540-85988-8_49 |
0.01 |
|
| 2008 |
Aljabar P, Rueckert D, Crum WR. Automated morphological analysis of magnetic resonance brain imaging using spectral analysis Neuroimage. 43: 225-235. PMID 18761093 DOI: 10.1016/j.neuroimage.2008.07.055 |
0.01 |
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| 2008 |
Heckemann RA, Hammers A, Rueckert D, Aviv RI, Harvey CJ, Hajnal JV. Automatic volumetry on MR brain images can support diagnostic decision making. Bmc Medical Imaging. 8: 9. PMID 18500985 DOI: 10.1186/1471-2342-8-9 |
0.01 |
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| 2008 |
Pratt P, Bello F, Edwards E, Rueckert D. Interactive finite element simulation of the beating heart for image-guided robotic cardiac surgery. Studies in Health Technology and Informatics. 132: 378-83. PMID 18391325 |
0.01 |
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| 2008 |
Bhatia KK, Hajnal J, Hammers A, Rueckert D. Similarity metrics for groupwise non-rigid registration. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 10: 544-52. PMID 18044611 DOI: 10.1007/978-3-540-75759-7_66 |
0.01 |
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| 2008 |
Yang YM, Rueckert D, Bull AM. Predicting the shapes of bones at a joint: application to the shoulder. Computer Methods in Biomechanics and Biomedical Engineering. 11: 19-30. PMID 17943483 DOI: 10.1080/10255840701552721 |
0.01 |
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| 2008 |
Aljabar P, Bhatia KK, Murgasova M, Hajnal JV, Boardman JP, Srinivasan L, Rutherford MA, Dyet LE, Edwards AD, Rueckert D. Assessment of brain growth in early childhood using deformation-based morphometry. Neuroimage. 39: 348-58. PMID 17919930 DOI: 10.1016/j.neuroimage.2007.07.067 |
0.01 |
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| 2008 |
Karim R, Mohiaddin R, Rueckert D. Left atrium segmentation for atrial fibrillation ablation Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6918. DOI: 10.1117/12.771023 |
0.01 |
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| 2008 |
Ericsson A, Aljabar P, Rueckert D. Construction of a patient-specific atlas of the brain: Application to normal aging 2008 5th Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Proceedings, Isbi. 480-483. DOI: 10.1109/ISBI.2008.4541037 |
0.01 |
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| 2007 |
Gousias IS, Rueckert D, Heckemann RA, Dyet LE, Boardman JP, Edwards AD, Hammers A. Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest. Neuroimage. 40: 672-684. PMID 18234511 DOI: 10.1016/j.neuroimage.2007.11.034 |
0.01 |
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| 2007 |
Bhatia KK, Aljabar P, Boardman JP, Srinivasan L, Murgasova M, Counsell SJ, Rutherford MA, Hajnal J, Edwards AD, Rueckert D. Groupwise combined segmentation and registration for atlas construction. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 10: 532-40. PMID 18051100 DOI: 10.1007/978-3-540-75757-3_65 |
0.01 |
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| 2007 |
Aljabar P, Heckemann R, Hammers A, Hajnal JV, Rueckert D. Classifier selection strategies for label fusion using large atlas databases Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 10: 523-531. PMID 18051099 |
0.01 |
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| 2007 |
Jiang S, Xue H, Counsell S, Anjari M, Allsop J, Rutherford M, Rueckert D, Hajnal JV. In-utero three dimension high resolution fetal brain diffusion tensor imaging. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 10: 18-26. PMID 18051039 DOI: 10.1007/978-3-540-75757-3_3 |
0.01 |
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| 2007 |
Zhang H, Yushkevich PA, Rueckert D, Gee JC. Unbiased white matter atlas construction using diffusion tensor images. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 10: 211-8. PMID 18044571 |
0.01 |
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| 2007 |
Xue H, Srinivasan L, Jiang S, Rutherford M, Edwards AD, Rueckert D, Hajnal JV. Longitudinal cortical registration for developing neonates. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 10: 127-35. PMID 18044561 |
0.01 |
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| 2007 |
Murgasova M, Dyet L, Edwards D, Rutherford M, Hajnal J, Rueckert D. Segmentation of brain MRI in young children. Academic Radiology. 14: 1350-66. PMID 17964459 DOI: 10.1016/j.acra.2007.07.020 |
0.01 |
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| 2007 |
Xue H, Srinivasan L, Jiang S, Rutherford M, Edwards AD, Rueckert D, Hajnal JV. Automatic segmentation and reconstruction of the cortex from neonatal MRI. Neuroimage. 38: 461-77. PMID 17888685 DOI: 10.1016/j.neuroimage.2007.07.030 |
0.01 |
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| 2007 |
Boardman JP, Counsell SJ, Rueckert D, Hajnal JV, Bhatia KK, Srinivasan L, Kapellou O, Aljabar P, Dyet LE, Rutherford MA, Allsop JM, Edwards AD. Early growth in brain volume is preserved in the majority of preterm infants. Annals of Neurology. 62: 185-92. PMID 17696128 DOI: 10.1002/ana.21171 |
0.01 |
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| 2007 |
Rao A, Aljabar P, Rueckert D. Hierarchical statistical shape analysis and prediction of sub-cortical brain structures. Medical Image Analysis. 12: 55-68. PMID 17690004 DOI: 10.1016/j.media.2007.06.006 |
0.01 |
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| 2007 |
Jiang S, Xue H, Glover A, Rutherford M, Rueckert D, Hajnal JV. MRI of moving subjects using multislice snapshot images with volume reconstruction (SVR): application to fetal, neonatal, and adult brain studies. Ieee Transactions On Medical Imaging. 26: 967-80. PMID 17649910 DOI: 10.1109/TMI.2007.895456 |
0.01 |
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| 2007 |
Xue H, Srinivasan L, Jiang S, Rutherford M, Edwards AD, Rueckert D, Hajnal JV. Automatic cortical segmentation in the developing brain. Information Processing in Medical Imaging : Proceedings of the ... Conference. 20: 257-69. PMID 17633705 |
0.01 |
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| 2007 |
Hammers A, Heckemann R, Koepp MJ, Duncan JS, Hajnal JV, Rueckert D, Aljabar P. Automatic detection and quantification of hippocampal atrophy on MRI in temporal lobe epilepsy: a proof-of-principle study. Neuroimage. 36: 38-47. PMID 17428687 DOI: 10.1016/j.neuroimage.2007.02.031 |
0.01 |
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| 2007 |
Smith SM, Johansen-Berg H, Jenkinson M, Rueckert D, Nichols TE, Miller KL, Robson MD, Jones DK, Klein JC, Bartsch AJ, Behrens TE. Acquisition and voxelwise analysis of multi-subject diffusion data with tract-based spatial statistics. Nature Protocols. 2: 499-503. PMID 17406613 DOI: 10.1038/Nprot.2007.45 |
0.01 |
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| 2007 |
Heckemann RA, Hajnal JV, Aljabar P, Rueckert D, Hammers A. Multiclassifier fusion in human brain MR segmentation: modelling convergence. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 9: 815-22. PMID 17354848 DOI: 10.1007/11866763_100 |
0.01 |
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| 2007 |
Rueckert D, Aljabar P, Heckemann RA, Hajnal JV, Hammers A. Diffeomorphic registration using B-splines. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 9: 702-9. PMID 17354834 DOI: 10.1007/11866763_86 |
0.01 |
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| 2007 |
Murgasova M, Rutherford M, Dyet L, Edwards D, Hajnal J, Rueckert D. Robust segmentation of brain MRI using combination of registration and EM-based methods Proceedings - Sccg 2007: 23rd Spring Conference On Computer Graphics. 107-114. DOI: 10.1145/2614348.2614364 |
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| 2007 |
Perperidis D, Mohiaddine R, Edwards P, Rueckert D. Segmentation of cardiac MR and CT image sequences using model based registration of a 4D statistical model Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6512. DOI: 10.1117/12.706778 |
0.01 |
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| 2007 |
Rueckert D, Golland P. Guest editorial special issue on mathematical modeling in biomedical image analysis Ieee Transactions On Medical Imaging. 26: 1133-1134. DOI: 10.1109/TMI.2007.905534 |
0.01 |
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| 2007 |
Thomaz CE, Duran FLS, Busatto GF, Gillies DF, Rueckert D. Multivariate Statistical Differences of MRI Samples of the Human Brain Journal of Mathematical Imaging and Vision. 29: 95-106. DOI: 10.1007/s10851-007-0033-6 |
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| 2007 |
Chandrashekara R, Mohiaddin R, Razavi R, Rueckert D. Nonrigid image registration with subdivision lattices: Application to cardiac MR image analysis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4791: 335-342. |
0.01 |
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| 2007 |
Bhatia KK, Hajnal J, Hammers A, Rueckert D. Similarity metrics for groupwise non-rigid registration Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4792: 544-552. |
0.01 |
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| 2006 |
Murgasova M, Dyet L, Edwards D, Rutherford M, Hajnal JV, Rueckert D. Segmentation of brain MRI in young children. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 9: 687-94. PMID 17354950 |
0.01 |
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| 2006 |
Belenguer Querol L, Büchler P, Rueckert D, Nolte LP, González Ballester MA. Statistical finite element model for bone shape and biomechanical properties. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 9: 405-11. PMID 17354916 DOI: 10.1007/11866565_50 |
0.01 |
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| 2006 |
Leung KK, Holden M, Saeed N, Brooks KJ, Buckton JB, Williams AA, Campbell SP, Changani K, Reid DG, Zhao Y, Wilde M, Rueckert D, Hajnal JV, Hill DL. Automatic quantification of changes in bone in serial MR images of joints. Ieee Transactions On Medical Imaging. 25: 1617-26. PMID 17167996 DOI: 10.1109/TMI.2006.884216 |
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| 2006 |
Heckemann RA, Hajnal JV, Aljabar P, Rueckert D, Hammers A. Automatic anatomical brain MRI segmentation combining label propagation and decision fusion Neuroimage. 33: 115-126. PMID 16860573 DOI: 10.1016/j.neuroimage.2006.05.061 |
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| 2006 |
Boyes RG, Rueckert D, Aljabar P, Whitwell J, Schott JM, Hill DL, Fox NC. Cerebral atrophy measurements using Jacobian integration: comparison with the boundary shift integral. Neuroimage. 32: 159-69. PMID 16675272 DOI: 10.1016/J.Neuroimage.2006.02.052 |
0.01 |
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| 2006 |
Boardman JP, Counsell SJ, Rueckert D, Kapellou O, Bhatia KK, Aljabar P, Hajnal J, Allsop JM, Rutherford MA, Edwards AD. Abnormal deep grey matter development following preterm birth detected using deformation-based morphometry. Neuroimage. 32: 70-8. PMID 16675269 DOI: 10.1016/j.neuroimage.2006.03.029 |
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| 2006 |
Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, Watkins KE, Ciccarelli O, Cader MZ, Matthews PM, Behrens TE. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage. 31: 1487-505. PMID 16624579 DOI: 10.1016/J.Neuroimage.2006.02.024 |
0.01 |
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| 2006 |
Larkman DJ, Batchelor PG, Atkinson D, Rueckert D, Hajnal JV. Beyond the g-factor limit in sensitivity encoding using joint histogram entropy Magnetic Resonance in Medicine. 55: 153-160. PMID 16342149 DOI: 10.1002/mrm.20752 |
0.01 |
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| 2006 |
Rao A, Cootes T, Rueckert D. Hierarchical statistical shape analysis and prediction of sub-cortical brain structures Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2006. DOI: 10.1109/CVPRW.2006.93 |
0.01 |
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| 2006 |
Golland P, Rueckert D. IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2006. DOI: 10.1109/CVPRW.2006.122 |
0.01 |
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| 2006 |
Rao A, Babalola K, Rueckert D. Canonical correlation analysis of sub-cortical brain structures using non-rigid registration Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4057: 66-74. |
0.01 |
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| 2006 |
Yang Y, Bull A, Rueckert D, Hill A. 3D statistical shape modeling of long bones Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4057: 306-314. |
0.01 |
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| 2006 |
Rueckert D, Aljabar P, Heckemann RA, Hajnal JV, Hammers A. Diffeomorphic registration using B-splines Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4191: 702-709. |
0.01 |
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| 2006 |
Heckemann RA, Hajnal JV, Aljabar P, Rueckert D, Hammers A. Multiclassifier fusion in human brain MR segmentation: Modelling convergence Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4191: 815-822. |
0.01 |
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| 2006 |
Murgasova M, Dyet L, Edwards D, Rutherford M, Hajnal JV, Rueckert D. Segmentation of brain MRI in young children Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4190: 687-694. |
0.01 |
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| 2006 |
Xue H, Malamateniou C, Allsop J, Srinivasan L, Hajnal JV, Rueckert D. Automatic extraction and matching of neonatal cerebral vasculature 2006 3rd Ieee International Symposium On Biomedical Imaging: From Nano to Macro - Proceedings. 2006: 125-128. |
0.01 |
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| 2005 |
Perperidis D, Mohiaddin R, Rueckert D. Construction of a 4D statistical atlas of the cardiac anatomy and its use in classification Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 8: 402-410. PMID 16685985 DOI: 10.1007/11566489_50 |
0.01 |
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| 2005 |
Sanchez-Ortiz GI, Sermesant M, Rhode KS, Chandrashekara R, Razavi R, Hill DL, Rueckert D. Localization of abnormal conduction pathways for tachyarrhythmia treatment using tagged MRI. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 8: 425-33. PMID 16685874 DOI: 10.1007/11566465_53 |
0.01 |
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| 2005 |
Crum WR, Camara O, Rueckert D, Bhatia KK, Jenkinson M, Hill DL. Generalised overlap measures for assessment of pairwise and groupwise image registration and segmentation. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 8: 99-106. PMID 16685834 |
0.01 |
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| 2005 |
Russakoff DB, Rohlfing T, Mori K, Rueckert D, Ho A, Adler JR, Maurer CR. Fast generation of digitally reconstructed radiographs using attenuation fields with application to 2D-3D image registration. Ieee Transactions On Medical Imaging. 24: 1441-54. PMID 16279081 DOI: 10.1109/TMI.2005.856749 |
0.01 |
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| 2005 |
Perperidis D, Mohiaddin RH, Rueckert D. Spatio-temporal free-form registration of cardiac MR image sequences. Medical Image Analysis. 9: 441-56. PMID 16029955 DOI: 10.1016/j.media.2005.05.004 |
0.01 |
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| 2005 |
Perperidis D, Mohiaddin RH, Rueckert D. Spatio-temporal free-form registration of cardiac MR image sequences. Medical Image Analysis. 9: 441-56. PMID 16029955 DOI: 10.1016/j.media.2005.05.004 |
0.01 |
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| 2005 |
Heckemann RA, Hajnal JV, Rueckert D, Hill DLG, Hammers A. Propagating labels of the human brain based on non-rigid MR image registration: An evaluation Progress in Biomedical Optics and Imaging - Proceedings of Spie. 5747: 1864-1871. DOI: 10.1117/12.597069 |
0.01 |
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| 2005 |
Aljabar P, Hajnal JV, Boyes RG, Rueckert D. Interpolation artefacts in non-rigid registration Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3750: 247-254. DOI: 10.1007/11566489_31 |
0.01 |
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| 2005 |
Papatheodorou T, Rueckert D. Evaluation of 3D face recognition using registration and PCA Lecture Notes in Computer Science. 3546: 997-1009. |
0.01 |
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| 2005 |
Perperidis D, Mohiaddin R, Rueckert D. Fast spatio-temporal free-form registration of cardiac MR image sequences Lecture Notes in Computer Science. 3504: 414-424. |
0.01 |
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| 2005 |
Chandrashekara R, Mohiaddin RH, Rueckert D. Comparison of cardiac motion fields from tagged and untagged MR images using Nonrigid registration Lecture Notes in Computer Science. 3504: 425-433. |
0.01 |
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| 2004 |
Chandrashekara R, Mohiaddin RH, Rueckert D. Analysis of 3-D myocardial motion in tagged MR images using nonrigid image registration Ieee Transactions On Medical Imaging. 23: 1245-1250. PMID 15493692 DOI: 10.1109/TMI.2004.834607 |
0.01 |
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| 2004 |
Lorenzo-Valdés M, Sanchez-Ortiz GI, Elkington AG, Mohiaddin RH, Rueckert D. Segmentation of 4D cardiac MR images using a probabilistic atlas and the EM algorithm. Medical Image Analysis. 8: 255-65. PMID 15450220 DOI: 10.1016/j.media.2004.06.005 |
0.01 |
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| 2004 |
Rao A, Chandrashekara R, Sanchez-Ortiz GI, Mohiaddin R, Aljabar P, Hajnal JV, Puri BK, Rueckert D. Spatial transformation of motion and deformation fields using nonrigid registration. Ieee Transactions On Medical Imaging. 23: 1065-76. PMID 15377115 DOI: 10.1109/TMI.2004.828681 |
0.01 |
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| 2004 |
Penney GP, Schnabel JA, Rueckert D, Viergever MA, Niessen WJ. Registration-based interpolation. Ieee Transactions On Medical Imaging. 23: 922-6. PMID 15250644 DOI: 10.1109/Tmi.2004.828352 |
0.01 |
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| 2004 |
Papatheodorou T, Rueckert D. Evaluation of automatic 4D face recognition using surface and texture registration Proceedings - Sixth Ieee International Conference On Automatic Face and Gesture Recognition. 321-326. DOI: 10.1109/AFGR.2004.1301551 |
0.01 |
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| 2004 |
Lapp RM, Lorenzo-Valdés M, Rueckert D. 3D/4D cardiac segmentation using active appearance models, non-rigid registration, and the Insight Toolkit Lecture Notes in Computer Science. 3216: 419-426. |
0.01 |
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| 2004 |
Chandrashekara R, Mohiaddin RH, Rueckert D. Cardiac motion tracking in tagged MR images using a 4D B-spline motion model and nonrigid image registration 2004 2nd Ieee International Symposium On Biomedical Imaging: Macro to Nano. 1: 468-471. |
0.01 |
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| 2004 |
Chen X, Brady M, Rueckert D. Simultaneous segmentation and registration for medical image Lecture Notes in Computer Science. 3216: 663-670. |
0.01 |
|
| 2004 |
Crum WR, Rueckert D, Jenkinson M, Kennedy D, Smith SM. A framework for detailed objective comparison of non-rigid registration algorithms in neuroimaging Lecture Notes in Computer Science. 3216: 679-686. |
0.01 |
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| 2004 |
Bhatia KK, Hajnal JV, Puri BK, Edwards AD, Rueckert D. Consistent groupwise non-rigid registration for atlas construction 2004 2nd Ieee International Symposium On Biomedical Imaging: Macro to Nano. 1: 908-911. |
0.01 |
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| 2004 |
Lorenzo-Valdés M, Sanchez-Ortiz GI, Bogren H, Mohiaddin R, Rueckert D. Determination of aortic distensibility using non-rigid registration of cine MR images Lecture Notes in Computer Science. 3216: 754-762. |
0.01 |
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| 2003 |
Chandrashekara R, Rao A, Sanchez-Ortiz GI, Mohiaddin RH, Rueckert D. Construction of a statistical model for cardiac motion analysis using nonrigid image registration Information Processing in Medical Imaging : Proceedings of the ... Conference. 18: 599-610. PMID 15344491 |
0.01 |
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| 2003 |
Rhode KS, Hill DL, Edwards PJ, Hipwell J, Rueckert D, Sanchez-Ortiz G, Hegde S, Rahunathan V, Razavi R. Registration and tracking to integrate X-ray and MR images in an XMR facility. Ieee Transactions On Medical Imaging. 22: 1369-78. PMID 14606671 DOI: 10.1109/TMI.2003.819275 |
0.01 |
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| 2003 |
Rueckert D, Frangi AF, Schnabel JA. Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration Ieee Transactions On Medical Imaging. 22: 1014-1025. PMID 12906255 DOI: 10.1109/TMI.2003.815865 |
0.01 |
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| 2003 |
Jiang J, Luk W, Rueckert D. FPGA-based computation of free-form deformations in medical image registration Proceedings - 2003 Ieee International Conference On Field-Programmable Technology, Fpt 2003. 234-241. DOI: 10.1109/FPT.2003.1275753 |
0.01 |
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| 2003 |
Chandrashekara R, Mohiaddin RH, Rueckert D. Analysis of myocardial motion and strain patterns using a cylindrical B-spline transformation model Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2673: 88-99. |
0.01 |
|
| 2003 |
Perperidis D, Rao A, Mohiaddin R, Rueckert D. Non-rigid spatio-temporal alignment of 4D cardiac MR images Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2717: 191-200. |
0.01 |
|
| 2003 |
Frangi AF, Rueckert D, Schnabel JA, Niessen WJ. Automatic construction of biventricular statistical shape models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2674: 18-29. |
0.01 |
|
| 2003 |
Lorenzo-Valdes M, Rueckert D, Mohiaddin R, Sanchez-Ortiz GI. Segmentation of cardiac MR images using the EM algorithm with a 4D probabilistic atlas and a global connectivity filter Annual International Conference of the Ieee Engineering in Medicine and Biology - Proceedings. 1: 626-629. |
0.01 |
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| 2003 |
Lorenzo-Valdés M, Sanchez-Ortiz GI, Mohiaddin R, Rueckert D. Segmentation of 4D cardiac MR images using a probabilistic atlas and the EM algorithm Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2878: 440-450. |
0.01 |
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| 2003 |
Perperidis D, Rao A, Lorenzo-Valdés M, Mohiaddin R, Rueckert D. Spatio-temporal alignment of 4D cardiac MR images Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2674: 205-214. |
0.01 |
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| 2002 |
Frangi AF, Rueckert D, Schnabel JA, Niessen WJ. Automatic construction of multiple-object three-dimensional statistical shape models: Application to cardiac modeling Ieee Transactions On Medical Imaging. 21: 1151-1166. PMID 12564883 DOI: 10.1109/TMI.2002.804426 |
0.01 |
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| 2002 |
Frangi AF, Rueckert D, Duncan JS. Three-dimensional cardiovascular image analysis Ieee Transactions On Medical Imaging. 21: 1005-1010. PMID 12564868 DOI: 10.1109/TMI.2002.804442 |
0.01 |
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| 2002 |
Chandrashekara R, Mohiaddin RH, Rueckert D. Analysis of myocardial motion in tagged MR images using nonrigid image registration Proceedings of Spie - the International Society For Optical Engineering. 4684: 1168-1179. DOI: 10.1117/12.467075 |
0.01 |
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| 2002 |
Rueckert D, Maurer CR. Automated camera calibration for image-guided surgery using intensity-based registration Proceedings of Spie - the International Society For Optical Engineering. 4681: 463-471. DOI: 10.1117/12.466951 |
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