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Sotirios A. Tsaftaris, Ph.D. - Publications

Affiliations: 
2006 Northwestern University, Evanston, IL 
Area:
Electronics and Electrical Engineering
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Year Citation  Score
2020 Panayides AS, Amini A, Filipovic ND, Sharma A, Tsaftaris SA, Young A, Foran D, Do N, Golemati S, Kurc T, Huang K, Nikita KS, Veasey BP, Zervakis M, Saltz JH, et al. AI in Medical Imaging Informatics: Current Challenges and Future Directions. Ieee Journal of Biomedical and Health Informatics. 24: 1837-1857. PMID 32609615 DOI: 10.1109/Jbhi.2020.2991043  0.316
2019 Chartsias A, Joyce T, Papanastasiou G, Semple S, Williams M, Newby DE, Dharmakumar R, Tsaftaris SA. Disentangled representation learning in cardiac image analysis. Medical Image Analysis. 58: 101535. PMID 31351230 DOI: 10.1016/J.Media.2019.101535  0.3
2019 Boloix-Tortosa R, Murillo-Fuentes JJ, Tsaftaris SA. The Generalized Complex Kernel Least-Mean-Square Algorithm Ieee Transactions On Signal Processing. 67: 5213-5222. DOI: 10.1109/Tsp.2019.2937289  0.331
2018 Giuffrida MV, Chen F, Scharr H, Tsaftaris SA. Citizen crowds and experts: observer variability in image-based plant phenotyping. Plant Methods. 14: 12. PMID 29449872 DOI: 10.1186/S13007-018-0278-7  0.325
2017 Chartsias A, Joyce T, Giuffrida MV, Tsaftaris SA. Multimodal MR Synthesis via Modality-Invariant Latent Representation. Ieee Transactions On Medical Imaging. 1. PMID 29053447 DOI: 10.1109/Tmi.2017.2764326  0.333
2017 Oksuz I, Mukhopadhyay A, Dharmakumar R, Tsaftaris SA. Unsupervised Myocardial Segmentation for Cardiac BOLD. Ieee Transactions On Medical Imaging. PMID 28708550 DOI: 10.1109/Tmi.2017.2726112  0.361
2017 Minervini M, Giuffrida MV, Perata P, Tsaftaris SA. Phenotiki: An open software and hardware platform for affordable and easy image-based phenotyping of rosette-shaped plants. The Plant Journal : For Cell and Molecular Biology. PMID 28066963 DOI: 10.1111/Tpj.13472  0.339
2016 Bevilacqua M, Dharmakumar R, Tsaftaris SA. Dictionary-Driven Ischemia Detection From Cardiac Phase-Resolved Myocardial BOLD MRI at Rest. Ieee Transactions On Medical Imaging. 35: 282-93. PMID 26292338 DOI: 10.1109/Tmi.2015.2470075  0.338
2015 Minervini M, Scharr H, Tsaftaris SA. The significance of image compression in plant phenotyping applications. Functional Plant Biology : Fpb. 42: 971-988. PMID 32480737 DOI: 10.1071/Fp15033  0.35
2015 Minervini M, Fischbach A, Scharr H, Tsaftaris SA. Finely-grained annotated datasets for image-based plant phenotyping Pattern Recognition Letters. DOI: 10.1016/J.Patrec.2015.10.013  0.302
2014 Rusu C, Morisi R, Boschetto D, Dharmakumar R, Tsaftaris SA. Synthetic generation of myocardial blood-oxygen-level-dependent MRI time series via structural sparse decomposition modeling. Ieee Transactions On Medical Imaging. 33: 1422-33. PMID 24691119 DOI: 10.1109/Tmi.2014.2313000  0.357
2014 Tsaftaris SA, Casadio F, Andral JL, Katsaggelos AK. A novel visualization tool for art history and conservation: Automated colorization of black and white archival photographs of works of art Studies in Conservation. 59: 125-135. DOI: 10.1179/2047058413Y.0000000104  0.515
2014 Rusu C, Dumitrescu B, Tsaftaris SA. Explicit shift-invariant dictionary learning Ieee Signal Processing Letters. 21: 6-9. DOI: 10.1109/Lsp.2013.2288788  0.33
2014 Minervini M, Abdelsamea MM, Tsaftaris SA. Image-based plant phenotyping with incremental learning and active contours Ecological Informatics. 23: 35-48. DOI: 10.1016/J.Ecoinf.2013.07.004  0.345
2013 Chen Z, Tsaftaris SA, Soyak E, Katsaggelos AK. Application-aware approach to compression and transmission of H.264 encoded video for automated and centralized transportation surveillance Ieee Transactions On Intelligent Transportation Systems. 14: 2002-2007. DOI: 10.1109/Tits.2013.2266861  0.8
2012 Chen Z, Soyak E, Tsaftaris SA, Katsaggelos AK. Tracking-optimal error control schemes for H.264 compressed video for vehicle surveillance European Signal Processing Conference. 1900-1904.  0.799
2011 Soyak E, Tsaftaris SA, Katsaggelos AK. Low-complexity tracking-aware H.264 video compression for transportation surveillance Ieee Transactions On Circuits and Systems For Video Technology. 21: 1378-1389. DOI: 10.1109/Tcsvt.2011.2163448  0.803
2011 Tsaftaris SA, Lister KH, Fiedler I, Casadio F, Katsaggelos AK. Colorizing a masterpiece Ieee Signal Processing Magazine. 28: 113-119. DOI: 10.1109/Msp.2011.940408  0.474
2011 Soyak E, Tsaftaris SA, Katsaggelos AK. Channel protection for H.264 compression in transportation video surveillance applications Proceedings - International Conference On Image Processing, Icip. 2237-2240. DOI: 10.1109/ICIP.2011.6116082  0.806
2011 Soyak E, Tsaftaris SA, Katsaggelos AK. Tracking-optimized quantization for H.264 compression in transportation video surveillance applications Proceedings - International Conference On Image Processing, Icip. 153-156. DOI: 10.1109/ICIP.2011.6115739  0.804
2011 Jiang F, Yuan J, Tsaftaris SA, Katsaggelos AK. Anomalous video event detection using spatiotemporal context Computer Vision and Image Understanding. 115: 323-333. DOI: 10.1016/J.Cviu.2010.10.008  0.579
2010 Zhou X, Tsaftaris SA, Liu Y, Tang R, Klein R, Zuehlsdorff S, Li D, Dharmakumar R. Artifacts-reduced 2D cine SSFP with flow compensation for myocardial BOLD imaging Journal of Cardiovascular Magnetic Resonance. 12. DOI: 10.1186/1532-429X-12-S1-P68  0.323
2010 Tsaftaris SA, Zhou X, Tang R, Katsaggelos A, Li D, Dharmakumar R. Automated detection and quantification of microcirculatory oxygenation changes in the heart Journal of Cardiovascular Magnetic Resonance. 12. DOI: 10.1186/1532-429X-12-S1-P216  0.442
2010 Soyak E, Tsaftaris SA, Katsaggelos AK. Quantization optimized H.264 encoding for traffic video tracking applications Proceedings - International Conference On Image Processing, Icip. 1241-1244. DOI: 10.1109/ICIP.2010.5652364  0.814
2010 Jiang F, Yuan J, Tsaftaris SA, Katsaggelos AK. Video anomaly detection in spatiotemporal context Proceedings - International Conference On Image Processing, Icip. 705-708. DOI: 10.1109/ICIP.2010.5650993  0.512
2010 Soyak E, Tsaftaris SA, Katsaggelos AK. Tracking-optimal pre- and post-processing for H.264 compression in traffic video surveillance applications 2010 Ieee International Conference On Electronics, Circuits, and Systems, Icecs 2010 - Proceedings. 375-378. DOI: 10.1109/ICECS.2010.5724531  0.813
2010 Soyak E, Tsaftaris SA, Katsaggelos AK. Content-aware H.264 encoding for traffic video tracking applications Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 730-733. DOI: 10.1109/ICASSP.2010.5495044  0.808
2009 Tsaftaris SA, Katsaggelos AK. Retrieval efficiency of DNA-based databases of digital signals. Ieee Transactions On Nanobioscience. 8: 259-70. PMID 19596640 DOI: 10.1109/Tnb.2009.2026371  0.468
2009 Tsaftaris SA, Zhou X, Tang R, Klein R, Dharmakumar R. An automated method for left ventricular localization and identification of end-systolic and end-diastolic images from cine cardiac MRI Journal of Cardiovascular Magnetic Resonance. 11. DOI: 10.1186/1532-429X-11-S1-P222  0.345
2009 Zhou X, Tang R, Klein R, Tsaftaris SA, Li D, Dharmakumar R. Impact of temporal resolution on cardiac phase-resolved oxygen-sensitive myocardial steady-state free precession imaging Journal of Cardiovascular Magnetic Resonance. 11. DOI: 10.1186/1532-429X-11-S1-P178  0.308
2008 Koktzoglou I, Tsaftaris SA, Li D, Katsaggelos AK, Dharmakumar R. 2097 Automated tracking of a passive intramyocardial needle with off-resonance mri: a feasibility study Journal of Cardiovascular Magnetic Resonance. 10. DOI: 10.1186/1532-429X-10-S1-A366  0.475
2008 Tsaftaris SA, Katsaggelos AK. The not so digital future of digital signal processing Proceedings of the Ieee. 96: 375-377. DOI: 10.1109/JPROC.2007.913496  0.378
2008 Tsaftaris SA, Andermatt V, Schlegel A, Katsaggelos AK, Li D, Dharmakumar R. A dynamic programming solution to tracking and elastically matching left ventricular walls in cardiac cine MRI Proceedings - International Conference On Image Processing, Icip. 2980-2983. DOI: 10.1109/ICIP.2008.4712421  0.452
2008 Tsaftaris SA, Zujovic J, Katsaggelos AK. Automated line flattening of atomic force microscopy images Proceedings - International Conference On Image Processing, Icip. 2968-2971. DOI: 10.1109/ICIP.2008.4712418  0.473
2008 Maani E, Tsaftaris SA, Katsaggelos AK. Local feature extraction for video copy detection in a database Proceedings - International Conference On Image Processing, Icip. 1716-1719. DOI: 10.1109/ICIP.2008.4712105  0.781
2007 Tsaftaris SA, Katsaggelos AK. Retrieval accuracy of very large DNA-based databases of digital signals European Signal Processing Conference. 1561-1565.  0.419
2006 Wang H, Tsaftaris SA, Katsaggelos AK. Joint source-channel coding for wireless object-based video communications utilizing data hiding. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 15: 2158-69. PMID 16900673 DOI: 10.1109/Tip.2006.875194  0.687
2006 Tsaftaris SA, Ahuja R, Shiell D, Katsaggelos AK. DNA microarray image intensity extraction using eigenspots Proceedings - International Conference On Image Processing, Icip. 6. DOI: 10.1109/ICIP.2007.4379572  0.43
2006 Tsaftaris SA, Hatzimanikatis V, Katsaggelos AK. DNA hybridization as a similarity criterion for querying digital signals stored in DNA databases Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 2: II1084-II1087.  0.42
2005 Tsaftaris SA, Katsaggelos AK. On designing DNA databases for the storage and retrieval of digital signals Lecture Notes in Computer Science. 3611: 1192-1201.  0.422
2004 Simitopoulos D, Tsaftaris SA, Boulgouris NV, Briassouli A, Strintzis MG. Fast watermarking of MPEG-1/2 streams using compressed-domain perceptual embedding and a generalized correlator detector Eurasip Journal On Applied Signal Processing. 2004: 1088-1106. DOI: 10.1155/S1110865704402029  0.426
2004 Tsaftaris SA, Katsaggelos AK, Pappas TN, Papoutsakis ET. How can DNA computing be applied to digital signal processing? Ieee Signal Processing Magazine. 21: 57-61. DOI: 10.1109/Msp.2004.1359142  0.478
2004 Tsaftaris SA, Katsaggelos AK, Pappas TN, Papoutsakis ET. DNA computing from a signal processing viewpoint Ieee Signal Processing Magazine. 21: 100-106. DOI: 10.1109/Msp.2004.1328093  0.456
2002 Simitopoulos D, Tsaftaris SA, Boulgouris NV, Strintzis MG. Compressed-domain video watermarking of MPEG streams Proceedings - 2002 Ieee International Conference On Multimedia and Expo, Icme 2002. 1: 569-572. DOI: 10.1109/ICME.2002.1035845  0.306
2002 Simitopoulos D, Tsaftaris SA, Boulgouris NV, Strintzis MG. Fast MPEG watermarking for copyright protection Proceedings of the Ieee International Conference On Electronics, Circuits, and Systems. 3: 1027-1030. DOI: 10.1109/ICECS.2002.1046425  0.312
2001 Simitopoulos D, Tsaftaris SA, Boulgouris NV, Strintzis MG. Digital watermarking of MPEG-1 and MPEG-2 multiplexed streams for copyright protection Proceedings - 2nd International Workshop On Digital and Computational Video, Dcv 2001. 140-147. DOI: 10.1109/DCV.2001.929953  0.321
Low-probability matches (unlikely to be authored by this person)
2009 Dharmakumar R, Zhang Z, Koktzoglou I, Tsaftaris SA, Li D. Dual-contrast cellular magnetic resonance imaging. Molecular Imaging. 8: 254-63. PMID 19796603 DOI: 10.2310/7290.2009.00024  0.299
2019 Giuffrida MV, Tsaftaris SA. Unsupervised Rotation Factorization in Restricted Boltzmann Machines. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 31634130 DOI: 10.1109/Tip.2019.2946455  0.297
2020 Dobrescu A, Giuffrida MV, Tsaftaris SA. Doing More With Less: A Multitask Deep Learning Approach in Plant Phenotyping. Frontiers in Plant Science. 11: 141. PMID 32256503 DOI: 10.3389/Fpls.2020.00141  0.297
2018 Giuffrida MV, Doerner P, Tsaftaris SA. Pheno-Deep Counter: a unified and versatile deep learning architecture for leaf counting. The Plant Journal : For Cell and Molecular Biology. PMID 30101442 DOI: 10.1111/Tpj.14064  0.295
2012 Dharmakumar R, Tsaftaris SA, Li D. Myocardial blood-oxygen-level-dependent magnetic resonance imaging with balanced steady-state free precession imaging approaches Open Medical Imaging Journal. 6: 31-38. DOI: 10.2174/1874347101206010031  0.287
2020 Xia T, Chartsias A, Tsaftaris SA. Pseudo-healthy synthesis with pathology disentanglement and adversarial learning. Medical Image Analysis. 64: 101719. PMID 32540700 DOI: 10.1016/J.Media.2020.101719  0.284
2010 Zhou X, Tsaftaris SA, Liu Y, Tang R, Klein R, Zuehlsdorff S, Li D, Dharmakumar R. Artifact-reduced two-dimensional cine steady state free precession for myocardial blood- oxygen-level-dependent imaging. Journal of Magnetic Resonance Imaging : Jmri. 31: 863-71. PMID 20373430 DOI: 10.1002/Jmri.22116  0.284
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, ... ... Tsaftaris SA, 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  0.283
2015 Bevilacqua M, Rusu C, Dharmakumar R, Tsaftaris S. Dictionary learning for unsupervised identification of ischemic territories in CP-BOLD Cardiac MRI at rest Journal of Cardiovascular Magnetic Resonance. 1-2. DOI: 10.1186/1532-429X-17-S1-Q13  0.283
2011 Tsaftaris SA, Zhou X, Dharmakumar R. A fully-automated statistical method for characterization of flow artifact presence in cardiac MRI Journal of Cardiovascular Magnetic Resonance. 13. DOI: 10.1186/1532-429X-13-S1-P45  0.281
2016 Pagani M, Damiano M, Galbusera A, Tsaftaris SA, Gozzi A. Semi-automated registration-based anatomical labelling, voxel based morphometry and cortical thickness mapping of the mouse brain. Journal of Neuroscience Methods. PMID 27079699 DOI: 10.1016/J.Jneumeth.2016.04.007  0.279
2015 Minervini M, Scharr H, Tsaftaris SA. Image analysis: The new bottleneck in plant phenotyping [applications corner] Ieee Signal Processing Magazine. 32: 126-131. DOI: 10.1109/Msp.2015.2405111  0.278
2013 Kali A, Cokic I, Kumar A, Tsaftaris S, Tang RL, Friedrich MG, Dharmakumar R. Acute reperfusion intramyocardial hemorrhage leads to regional chronic iron deposition in the heart Journal of Cardiovascular Magnetic Resonance. 15. DOI: 10.1186/1532-429X-15-S1-P174  0.274
2009 Tsaftaris SA, Tang R, Klein R, Li D, Dharmakumar R. Visualizing regional myocardial oxygenation changes with statistically optimal colormaps Journal of Cardiovascular Magnetic Resonance. 11. DOI: 10.1186/1532-429X-11-S1-P276  0.274
2019 Yang HJ, Oksuz I, Dey D, Sykes J, Klein M, Butler J, Kovacs MS, Sobczyk O, Cokic I, Slomka PJ, Bi X, Li D, Tighiouart M, Tsaftaris SA, Prato FS, et al. Accurate needle-free assessment of myocardial oxygenation for ischemic heart disease in canines using magnetic resonance imaging. Science Translational Medicine. 11. PMID 31142677 DOI: 10.1126/Scitranslmed.Aat4407  0.274
2024 Liu Z, Yang B, Shen Y, Ni X, Tsaftaris SA, Zhou H. Long-short diffeomorphism memory network for weakly-supervised ultrasound landmark tracking. Medical Image Analysis. 94: 103138. PMID 38479152 DOI: 10.1016/j.media.2024.103138  0.271
2016 Yang H, Dey D, Sykes JM, Butler J, Sharif B, Li D, Tsaftaris S, Slomka P, Prato FS, Dharmakumar R. Towards reliable myocardial blood-oxygen-level-dependent (BOLD) CMR using late effects of regadenoson with simultaneous 13n-ammonia pet validation in a whole-body hybrid PET/MR system Journal of Cardiovascular Magnetic Resonance. 18: O19. DOI: 10.1186/1532-429X-18-S1-O19  0.27
2014 Tsaftaris SA. A scientist's guide to cloud computing Computing in Science and Engineering. 16: 70-76. DOI: 10.1109/Mcse.2014.12  0.27
2015 Yang HJ, Dey D, Sykes J, Butler J, Kali A, Cokic I, Sharif B, Li D, Tsaftaris S, Slomka P, Prato FS, Dharmakumar R. Whole-heart, free-breathing, three-dimensional myocardial BOLD MRI at 3T with simultaneous 13N-ammonia PET in canines Journal of Cardiovascular Magnetic Resonance. 1-2. DOI: 10.1186/1532-429X-17-S1-Q126  0.269
2016 Tsaftaris SA, Minervini M, Scharr H. Machine Learning for Plant Phenotyping Needs Image Processing. Trends in Plant Science. PMID 27810146 DOI: 10.1016/J.Tplants.2016.10.002  0.266
2008 Tsaftaris SA, Zujovic J, K. Katsaggelos A. Restoration of the cantilever bowing distortion in Atomic Force Microscopy images European Signal Processing Conference.  0.266
2011 Zhou X, Rundell V, Liu Y, Tang R, Klein R, Shah S, Zuehlsdorff S, Tsaftaris SA, Li D, Dharmakumar R. T(2) -weighted STIR imaging of myocardial edema associated with ischemia-reperfusion injury: the influence of proton density effect on image contrast. Journal of Magnetic Resonance Imaging : Jmri. 33: 962-7. PMID 21448964 DOI: 10.1002/Jmri.22456  0.265
2018 Frangi AF, Tsaftaris SA, Prince JL. Simulation and Synthesis in Medical Imaging. Ieee Transactions On Medical Imaging. 37: 673-679. PMID 30253380 DOI: 10.1109/Tmi.2018.2800298  0.263
2014 Minervini M, Rusu C, Tsaftaris SA. Unsupervised and supervised approaches to color space transformation for image coding 2014 Ieee International Conference On Image Processing, Icip 2014. 5576-5580. DOI: 10.1109/ICIP.2014.7026128  0.263
2013 Rusu C, Tsaftaris SA. Estimation of scribble placement for painting colorization International Symposium On Image and Signal Processing and Analysis, Ispa. 564-569.  0.263
2010 Zhou X, Rundell V, Liu Y, Tang R, Klein R, Giri S, Shah S, Tsaftaris SA, Zuehlsdorff S, Simonetti O, Li D, Dharmakumar R. On the mechanism of myocardial edema contrast in T2-STIR images Journal of Cardiovascular Magnetic Resonance. 12. DOI: 10.1186/1532-429X-12-S1-O19  0.262
2016 Oksuz I, Bevilacqua M, Mukhopadhyay A, Dharmakumar R, Tsaftaris S. BOLD contrast: A challenge for cardiac image analysis Journal of Cardiovascular Magnetic Resonance. 18: W27. DOI: 10.1186/1532-429X-18-S1-W27  0.259
2014 Yang H, Yumul R, Tang R, Cokic I, Klein M, Kali A, Sobczyk O, Sharif B, Tang J, Bi X, Tsaftaris SA, Li D, Min JK, Berman DS, Conte AH, et al. Probing myocardial blood oxygenation reserve with controlled hypercapnia using BOLD CMR Journal of Cardiovascular Magnetic Resonance. 16. DOI: 10.1186/1532-429X-16-S1-O14  0.257
2016 Uriarte RB, Tiezzi F, Tsaftaris SA. Supporting Autonomic Management of Clouds: Service Clustering With Random Forest Ieee Transactions On Network and Service Management. 13: 595-607. DOI: 10.1109/Tnsm.2016.2569000  0.254
2011 Tsaftaris SA, Tang R, Zhou X, Li D, Dharmakumar R. An area-based imaging biomarker for characterizing coronary artery stenosis with myocardial BOLD MRI Journal of Cardiovascular Magnetic Resonance. 13. DOI: 10.1186/1532-429X-13-S1-O22  0.253
2014 Yang HJ, Yumul R, Tang R, Cokic I, Klein M, Kali A, Sobczyk O, Sharif B, Tang J, Bi X, Tsaftaris SA, Li D, Conte AH, Fisher JA, Dharmakumar R. Assessment of myocardial reactivity to controlled hypercapnia with free-breathing T2-prepared cardiac blood oxygen level-dependent MR imaging. Radiology. 272: 397-406. PMID 24749715 DOI: 10.1148/Radiol.14132549  0.251
2016 Oksuz I, Dharmakumar R, Tsaftaris S. Towards joint segmentation and registration of the myocardium in CP-BOLD MRI at rest Journal of Cardiovascular Magnetic Resonance. 18. DOI: 10.1186/1532-429X-18-S1-W34  0.247
2020 Bontpart T, Concha C, Giuffrida V, Robertson I, Admkie K, Degefu T, Girma N, Tesfaye K, Haileselassie T, Fikre A, Fetene M, Tsaftaris SA, Doerner P. Affordable and robust phenotyping framework to analyse root system architecture of soil-grown plants. The Plant Journal : For Cell and Molecular Biology. PMID 32530068 DOI: 10.1111/Tpj.14877  0.239
2013 Minervini M, Rusu C, Tsaftaris SA. Learning computationally efficient approximations of complex image segmentation metrics International Symposium On Image and Signal Processing and Analysis, Ispa. 60-65.  0.237
2017 Yang HJ, Dey D, Sykes J, Klein M, Butler J, Kovacs M, Sobczyk O, Sharif B, Bi X, Kali A, Cokic I, Tang R, Yumul R, Conte A, Tsaftaris S, et al. Arterial CO2 as a Potent Coronary Vasodilator: A Preclinical PET/MR Validation Study with Implications for Cardiac Stress Testing. Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine. PMID 28254864 DOI: 10.2967/Jnumed.116.185991  0.234
2013 Minervini M, Tsaftaris SA. Application-aware image compression for low cost and distributed plant phenotyping 2013 18th International Conference On Digital Signal Processing, Dsp 2013. DOI: 10.1109/ICDSP.2013.6622670  0.234
2017 Dobrescu A, Scorza LCT, Tsaftaris SA, McCormick AJ. A "Do-It-Yourself" phenotyping system: measuring growth and morphology throughout the diel cycle in rosette shaped plants. Plant Methods. 13: 95. PMID 29151842 DOI: 10.1186/S13007-017-0247-6  0.231
2018 Tsaftaris SA, Scharr H. Sharing the Right Data Right: A Symbiosis with Machine Learning. Trends in Plant Science. PMID 30497879 DOI: 10.1016/J.Tplants.2018.10.016  0.23
2013 Tsaftaris SA, Zhou X, Tang R, Li D, Dharmakumar R. Detecting myocardial ischemia at rest with cardiac phase-resolved blood oxygen level-dependent cardiovascular magnetic resonance. Circulation. Cardiovascular Imaging. 6: 311-9. PMID 23258476 DOI: 10.1161/Circimaging.112.976076  0.23
2015 Minervini M, Scharr H, Tsaftaris SA. The significance of image compression in plant phenotyping applications Functional Plant Biology. 42: 971-988. DOI: 10.1071/FP15033  0.225
2023 Li L, Wu F, Wang S, Luo X, Martín-Isla C, Zhai S, Zhang J, Liu Y, Zhang Z, Ankenbrand MJ, Jiang H, Zhang X, Wang L, Arega TW, Altunok E, ... ... Tsaftaris SA, et al. MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. Medical Image Analysis. 87: 102808. PMID 37087838 DOI: 10.1016/j.media.2023.102808  0.224
2004 Tsaftaris SA, Katsaggelos AK, Pappas TN, Papoutsakis TE. DNA-based matching of digital signals Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 5.  0.219
2016 Bevilacqua M, Dharmakumar R, Tsaftaris S. Towards pixel-wise area-at-risk characterization with cardiac BOLD MRI at rest Journal of Cardiovascular Magnetic Resonance. 18: P63. DOI: 10.1186/1532-429X-18-S1-P63  0.216
2013 Abdelsamea MM, Tsaftaris SA. Active contour model driven by globally signed region pressure force 2013 18th International Conference On Digital Signal Processing, Dsp 2013. DOI: 10.1109/ICDSP.2013.6622691  0.213
2012 Tsaftaris SA, Tang R, Zhou X, Li D, Dharmakumar R. Ischemic extent as a biomarker for characterizing severity of coronary artery stenosis with blood oxygen-sensitive MRI. Journal of Magnetic Resonance Imaging : Jmri. 35: 1338-48. PMID 22246681 DOI: 10.1002/Jmri.23577  0.212
2016 Yang H, Dey D, Sykes JM, Butler J, Sharif B, Li D, Tsaftaris S, Bi X, Slomka P, Prato FS, Dharmakumar R. Fast, heart-rate independent, whole-heart, free-breathing, three-dimensional myocardial BOLD MRI at 3T with simultaneous 13N-ammonia PET validation in canines Journal of Cardiovascular Magnetic Resonance. 18. DOI: 10.1186/1532-429X-18-S1-W2  0.212
2024 Maier-Hein L, Reinke A, Godau P, Tizabi MD, Buettner F, Christodoulou E, Glocker B, Isensee F, Kleesiek J, Kozubek M, Reyes M, Riegler MA, Wiesenfarth M, Kavur AE, Sudre CH, ... ... Tsaftaris SA, et al. Metrics reloaded: recommendations for image analysis validation. Nature Methods. 21: 195-212. PMID 38347141 DOI: 10.1038/s41592-023-02151-z  0.212
2013 Kali A, Kumar A, Cokic I, Tang RL, Tsaftaris SA, Friedrich MG, Dharmakumar R. Chronic manifestation of postreperfusion intramyocardial hemorrhage as regional iron deposition: a cardiovascular magnetic resonance study with ex vivo validation. Circulation. Cardiovascular Imaging. 6: 218-28. PMID 23403335 DOI: 10.1161/Circimaging.112.000133  0.209
2010 Tsaftaris SA, Offerman E, Edelman RR, Koktzoglou I. Fully automated reconstruction of ungated ghost magnetic resonance angiograms. Journal of Magnetic Resonance Imaging : Jmri. 31: 655-62. PMID 20187209 DOI: 10.1002/Jmri.22092  0.208
2020 Chartsias A, Papanastasiou G, Wang C, Semple S, Newby DE, Dharmakumar R, Tsaftaris SA. Disentangle, align and fuse for multimodal and semi-supervised image segmentation. Ieee Transactions On Medical Imaging. PMID 33156786 DOI: 10.1109/TMI.2020.3036584  0.207
2017 Yang H, Dey D, Sykes J, Klein M, Butler J, Kovacs M, Sobczyk O, Sharif B, Bi X, Kali A, Cokic I, Tang R, Yumul R, Conte A, Tsaftaris S, et al. PRECISELY CONTROLLED ARTERIAL CO2 CAN POTENTIATE MYOCARDIAL BLOOD FLOW TO THE SAME EXTENT AS ADENOSINE: A PRECLINICAL STUDY IN CANINES WITH 13N-AMMONIA PET Journal of the American College of Cardiology. 69: 1608. DOI: 10.1016/S0735-1097(17)34997-5  0.205
2021 Litrico M, Battiato S, Tsaftaris SA, Giuffrida MV. Semi-Supervised Domain Adaptation for Holistic Counting under Label Gap. Journal of Imaging. 7. PMID 34677284 DOI: 10.3390/jimaging7100198  0.199
2014 Tucci V, Kleefstra T, Hardy A, Heise I, Maggi S, Willemsen MH, Hilton H, Esapa C, Simon M, Buenavista MT, McGuffin LJ, Vizor L, Dodero L, Tsaftaris S, Romero R, et al. Dominant β-catenin mutations cause intellectual disability with recognizable syndromic features. The Journal of Clinical Investigation. 124: 1468-82. PMID 24614104 DOI: 10.1172/Jci70372  0.198
2021 Campello VM, Gkontra P, Izquierdo C, Martin-Isla C, Sojoudi A, Full PM, Maier-Hein K, Zhang Y, He Z, Ma J, Parreno M, Albiol A, Kong F, Shadden SC, Acero JC, ... ... Tsaftaris SA, et al. Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. Ieee Transactions On Medical Imaging. PMID 34138702 DOI: 10.1109/TMI.2021.3090082  0.192
2014 Sannino S, Gozzi A, Cerasa A, Piras F, Scheggia D, Managò F, Damiano M, Galbusera A, Erickson LC, De Pietri Tonelli D, Bifone A, Tsaftaris SA, Caltagirone C, Weinberger DR, Spalletta G, et al. COMT Genetic Reduction Produces Sexually Divergent Effects on Cortical Anatomy and Working Memory in Mice and Humans. Cerebral Cortex (New York, N.Y. : 1991). PMID 24658585 DOI: 10.1093/Cercor/Bhu053  0.192
2013 Cokic I, Kali A, Wang X, Yang HJ, Tang RL, Thajudeen A, Shehata M, Amorn AM, Liu E, Stewart B, Bennett N, Harlev D, Tsaftaris SA, Jackman WM, Chugh SS, et al. Iron deposition following chronic myocardial infarction as a substrate for cardiac electrical anomalies: initial findings in a canine model. Plos One. 8: e73193. PMID 24066038 DOI: 10.1371/Journal.Pone.0073193  0.19
2024 Reinke A, Tizabi MD, Baumgartner M, Eisenmann M, Heckmann-Nötzel D, Kavur AE, Rädsch T, Sudre CH, Acion L, Antonelli M, Arbel T, Bakas S, Benis A, Buettner F, Cardoso MJ, ... ... Tsaftaris SA, et al. Understanding metric-related pitfalls in image analysis validation. Nature Methods. 21: 182-194. PMID 38347140 DOI: 10.1038/s41592-023-02150-0  0.19
2015 Mukhopadhyay A, Oksuz I, Bevilacqua M, Dharmakumar R, Tsaftaris SA. Data-driven feature learning for myocardial segmentation of CP-BOLD MRI Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9126: 189-197. DOI: 10.1007/978-3-319-20309-6_22  0.189
2022 Xia T, Sanchez P, Qin C, Tsaftaris SA. Adversarial counterfactual augmentation: application in Alzheimer's disease classification. Frontiers in Radiology. 2: 1039160. PMID 37492661 DOI: 10.3389/fradi.2022.1039160  0.184
2021 Wang C, Yang G, Papanastasiou G, Tsaftaris SA, Newby DE, Gray C, Macnaught G, MacGillivray TJ. DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis. An International Journal On Information Fusion. 67: 147-160. PMID 33658909 DOI: 10.1016/j.inffus.2020.10.015  0.181
2018 Gerek ÖN, Boashash B, Leszczuk M, Tsaftaris SA, Armour W, Wallom D. Editorial for Special Issue on Reproducible Research Digital Signal Processing. 77: 1-4. DOI: 10.1016/J.Dsp.2018.04.007  0.18
2023 Reinke A, Tizabi MD, Baumgartner M, Eisenmann M, Heckmann-Nötzel D, Kavur AE, Rädsch T, Sudre CH, Acion L, Antonelli M, Arbel T, Bakas S, Benis A, Blaschko M, Büttner F, ... ... Tsaftaris SA, et al. Understanding metric-related pitfalls in image analysis validation. Arxiv. PMID 36945687  0.172
2022 Liu X, Sanchez P, Thermos S, O'Neil AQ, Tsaftaris SA. Learning disentangled representations in the imaging domain. Medical Image Analysis. 80: 102516. PMID 35751992 DOI: 10.1016/j.media.2022.102516  0.154
2023 Kascenas A, Sanchez P, Schrempf P, Wang C, Clackett W, Mikhael SS, Voisey JP, Goatman K, Weir A, Pugeault N, Tsaftaris SA, O'Neil AQ. The role of noise in denoising models for anomaly detection in medical images. Medical Image Analysis. 90: 102963. PMID 37769551 DOI: 10.1016/j.media.2023.102963  0.153
2021 Valvano G, Leo A, Tsaftaris SA. Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates. Ieee Transactions On Medical Imaging. PMID 33784616 DOI: 10.1109/TMI.2021.3069634  0.152
2009 Tsaftaris SA, Noutsos C. Plant phenotyping with low cost digital cameras and image analytics Environmental Science and Engineering (Subseries: Environmental Science). 238-251. DOI: 10.1007/978-3-540-88351-7-18  0.146
2024 Liu X, Sanchez P, Thermos S, O'Neil AQ, Tsaftaris SA. Compositionally Equivariant Representation Learning. Ieee Transactions On Medical Imaging. PMID 38277249 DOI: 10.1109/TMI.2024.3358955  0.138
2022 Jegorova M, Kaul C, Mayor C, O'Neil AQ, Weir A, Murray-Smith R, Tsaftaris SA. Survey: Leakage and Privacy at Inference Time. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 37015684 DOI: 10.1109/TPAMI.2022.3229593  0.135
2015 Oksuz I, Mukhopadhyay A, Bevilacqua M, Dharmakumar R, Tsaftaris SA. Dictionary learning based image descriptor for myocardial registration of CP-BOLD MR Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9350: 205-213. DOI: 10.1007/978-3-319-24571-3_25  0.128
2021 Xia T, Chartsias A, Wang C, Tsaftaris SA. Learning to synthesise the ageing brain without longitudinal data. Medical Image Analysis. 73: 102169. PMID 34311421 DOI: 10.1016/j.media.2021.102169  0.125
2016 Scharr H, Dee H, French AP, Tsaftaris SA. Special issue on computer vision and image analysis in plant phenotyping Machine Vision and Applications. 27: 607-609. DOI: 10.1007/s00138-016-0787-1  0.121
2023 Hartley J, Sanchez PP, Haider F, Tsaftaris SA. Neural networks memorise personal information from one sample. Scientific Reports. 13: 21366. PMID 38049432 DOI: 10.1038/s41598-023-48034-3  0.12
2022 Campello VM, Xia T, Liu X, Sanchez P, Martín-Isla C, Petersen SE, Seguí S, Tsaftaris SA, Lekadir K. Cardiac aging synthesis from cross-sectional data with conditional generative adversarial networks. Frontiers in Cardiovascular Medicine. 9: 983091. PMID 36211555 DOI: 10.3389/fcvm.2022.983091  0.118
2014 Rusu C, Tsaftaris SA. Structured dictionaries for ischemia estimation in cardiac BOLD MRI at rest. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 17: 562-9. PMID 25485424 DOI: 10.1007/978-3-319-10470-6_70  0.116
2015 Mukhopadhyay A, Oksuz I, Bevilacqua M, Dharmakumar R, Tsaftaris SA. Unsupervised myocardial segmentation for cardiac MRI Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9351: 12-20. DOI: 10.1007/978-3-319-24574-4_2  0.095
2021 Williamson HF, Brettschneider J, Caccamo M, Davey RP, Goble C, Kersey PJ, May S, Morris RJ, Ostler R, Pridmore T, Rawlings C, Studholme D, Tsaftaris SA, Leonelli S. Data management challenges for artificial intelligence in plant and agricultural research. F1000research. 10: 324. PMID 36873457 DOI: 10.12688/f1000research.52204.2  0.088
2022 Sanchez P, Voisey JP, Xia T, Watson HI, O'Neil AQ, Tsaftaris SA. Causal machine learning for healthcare and precision medicine. Royal Society Open Science. 9: 220638. PMID 35950198 DOI: 10.1098/rsos.220638  0.084
2015 Scharr H, Minervini M, French AP, Klukas C, Kramer DM, Liu X, Luengo I, Pape JM, Polder G, Vukadinovic D, Yin X, Tsaftaris SA. Leaf segmentation in plant phenotyping: a collation study Machine Vision and Applications. 1-22. DOI: 10.1007/s00138-015-0737-3  0.076
2015 Minervini M, Rusu C, Damiano M, Tucci V, Bifone A, Gozzi A, Tsaftaris SA. Large-scale analysis of neuroimaging data on commercial clouds with content-aware resource allocation strategies International Journal of High Performance Computing Applications. 29: 473-488. DOI: 10.1177/1094342013519483  0.074
2012 Minervini M, Damiano M, Tucci V, Bifone A, Gozzi A, Tsaftaris SA. Mouse neuroimaging phenotyping in the cloud 2012 3rd International Conference On Image Processing Theory, Tools and Applications, Ipta 2012. 55-60. DOI: 10.1109/IPTA.2012.6469527  0.055
2016 Mukhopadhyay A, Oksuz I, Tsaftaris SA. Supervised learning of functional maps for infarct classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9534: 162-170. DOI: 10.1007/978-3-319-28712-6_18  0.048
1996 Hokkanen H, Tsaftaris S. Multidisciplinary assessment of transgenic crop plants Field Crops Research. 45: 1-4. DOI: 10.1016/0378-4290(96)00005-6  0.031
1995 Tsaftaris SA. Molecular aspects of heterosis in plants Physiologia Plantarum. 94: 362-370. DOI: 10.1034/j.1399-3054.1995.940226.x  0.011
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