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Jeffrey D. Rudie, Ph.D. - Publications

Affiliations: 
Neuroscience 004F University of California, Los Angeles, Los Angeles, CA 
Area:
Neuroimaging, Autism, language, social cognition, development
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22/56 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2021 Li Y, Thompson WK, Reuter C, Nillo R, Jernigan T, Dale A, Sugrue LP, Brown J, Dougherty RF, Rauschecker A, Rudie J, Barch DM, Calhoun V, Hagler D, et al. Rates of Incidental Findings in Brain Magnetic Resonance Imaging in Children. Jama Neurology. PMID 33749724 DOI: 10.1001/jamaneurol.2021.0306  0.504
2020 Rauschecker AM, Rudie JD, Xie L, Wang J, Duong MT, Botzolakis EJ, Kovalovich AM, Egan J, Cook TC, Bryan RN, Nasrallah IM, Mohan S, Gee JC. Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI. Radiology. 190283. PMID 32255417 DOI: 10.1148/Radiol.2020190283  0.365
2019 Rathore S, Akbari H, Bakas S, Pisapia JM, Shukla G, Rudie JD, Da X, Davuluri RV, Dahmane N, O'Rourke DM, Davatzikos C. Multivariate Analysis of Preoperative Magnetic Resonance Imaging Reveals Transcriptomic Classification of Glioblastoma Patients. Frontiers in Computational Neuroscience. 13: 81. PMID 31920606 DOI: 10.3389/Fncom.2019.00081  0.303
2019 Duong MT, Rudie JD, Wang J, Xie L, Mohan S, Gee JC, Rauschecker AM. Convolutional Neural Network for Automated FLAIR Lesion Segmentation on Clinical Brain MR Imaging. Ajnr. American Journal of Neuroradiology. PMID 31345943 DOI: 10.3174/Ajnr.A6138  0.378
2017 Rudie JD, Rauschecker AM, Nabavizadeh SA, Mohan S. Neuroimaging of Dilated Perivascular Spaces: From Benign and Pathologic Causes to Mimics. Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging. PMID 29280227 DOI: 10.1111/Jon.12493  0.33
2015 Hernandez LM, Rudie JD, Green SA, Bookheimer S, Dapretto M. Neural signatures of autism spectrum disorders: insights into brain network dynamics. Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology. 40: 171-89. PMID 25011468 DOI: 10.1038/Npp.2014.172  0.787
2014 Sherman LE, Rudie JD, Pfeifer JH, Masten CL, McNealy K, Dapretto M. Development of the default mode and central executive networks across early adolescence: a longitudinal study. Developmental Cognitive Neuroscience. 10: 148-59. PMID 25282602 DOI: 10.1016/J.Dcn.2014.08.002  0.68
2014 Di Martino A, Yan CG, Li Q, Denio E, Castellanos FX, Alaerts K, Anderson JS, Assaf M, Bookheimer SY, Dapretto M, Deen B, Delmonte S, Dinstein I, Ertl-Wagner B, Fair DA, ... ... Rudie JD, et al. The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism. Molecular Psychiatry. 19: 659-67. PMID 23774715 DOI: 10.1038/Mp.2013.78  0.706
2013 Rudie JD, Dapretto M. Convergent evidence of brain overconnectivity in children with autism? Cell Reports. 5: 565-6. PMID 24238089 DOI: 10.1016/J.Celrep.2013.10.043  0.621
2013 Green SA, Rudie JD, Colich NL, Wood JJ, Shirinyan D, Hernandez L, Tottenham N, Dapretto M, Bookheimer SY. Overreactive brain responses to sensory stimuli in youth with autism spectrum disorders. Journal of the American Academy of Child and Adolescent Psychiatry. 52: 1158-72. PMID 24157390 DOI: 10.1016/J.Jaac.2013.08.004  0.767
2013 Pfeifer JH, Merchant JS, Colich NL, Hernandez LM, Rudie JD, Dapretto M. Neural and behavioral responses during self-evaluative processes differ in youth with and without autism. Journal of Autism and Developmental Disorders. 43: 272-85. PMID 22760337 DOI: 10.1007/S10803-012-1563-3  0.733
2012 Colich NL, Wang AT, Rudie JD, Hernandez LM, Bookheimer SY, Dapretto M. Atypical Neural Processing of Ironic and Sincere Remarks in Children and Adolescents with Autism Spectrum Disorders. Metaphor and Symbol. 27: 70-92. PMID 24497750 DOI: 10.1080/10926488.2012.638856  0.7
2012 Rudie JD, Brown JA, Beck-Pancer D, Hernandez LM, Dennis EL, Thompson PM, Bookheimer SY, Dapretto M. Altered functional and structural brain network organization in autism. Neuroimage. Clinical. 2: 79-94. PMID 24179761 DOI: 10.1016/J.Nicl.2012.11.006  0.74
2012 Brown JA, Rudie JD, Bandrowski A, Van Horn JD, Bookheimer SY. The UCLA multimodal connectivity database: a web-based platform for brain connectivity matrix sharing and analysis. Frontiers in Neuroinformatics. 6: 28. PMID 23226127 DOI: 10.3389/Fninf.2012.00028  0.636
2012 Rudie JD, Hernandez LM, Brown JA, Beck-Pancer D, Colich NL, Gorrindo P, Thompson PM, Geschwind DH, Bookheimer SY, Levitt P, Dapretto M. Autism-associated promoter variant in MET impacts functional and structural brain networks. Neuron. 75: 904-15. PMID 22958829 DOI: 10.1016/J.Neuron.2012.07.010  0.744
2012 Colby JB, Rudie JD, Brown JA, Douglas PK, Cohen MS, Shehzad Z. Insights into multimodal imaging classification of ADHD. Frontiers in Systems Neuroscience. 6: 59. PMID 22912605 DOI: 10.3389/Fnsys.2012.00059  0.35
2012 Vizueta N, Rudie JD, Townsend JD, Torrisi S, Moody TD, Bookheimer SY, Altshuler LL. Regional fMRI hypoactivation and altered functional connectivity during emotion processing in nonmedicated depressed patients with bipolar II disorder. The American Journal of Psychiatry. 169: 831-40. PMID 22773540 DOI: 10.1176/Appi.Ajp.2012.11030349  0.571
2012 Roussotte FF, Rudie JD, Smith L, O'Connor MJ, Bookheimer SY, Narr KL, Sowell ER. Frontostriatal connectivity in children during working memory and the effects of prenatal methamphetamine, alcohol, and polydrug exposure. Developmental Neuroscience. 34: 43-57. PMID 22472800 DOI: 10.1159/000336242  0.553
2012 Rudie JD, Shehzad Z, Hernandez LM, Colich NL, Bookheimer SY, Iacoboni M, Dapretto M. Reduced functional integration and segregation of distributed neural systems underlying social and emotional information processing in autism spectrum disorders. Cerebral Cortex (New York, N.Y. : 1991). 22: 1025-37. PMID 21784971 DOI: 10.1093/Cercor/Bhr171  0.756
2011 Dennis EL, Jahanshad N, Rudie JD, Brown JA, Johnson K, McMahon KL, de Zubicaray GI, Montgomery G, Martin NG, Wright MJ, Bookheimer SY, Dapretto M, Toga AW, Thompson PM. Altered structural brain connectivity in healthy carriers of the autism risk gene, CNTNAP2. Brain Connectivity. 1: 447-59. PMID 22500773 DOI: 10.1089/Brain.2011.0064  0.71
2011 Masten CL, Colich NL, Rudie JD, Bookheimer SY, Eisenberger NI, Dapretto M. An fMRI investigation of responses to peer rejection in adolescents with autism spectrum disorders. Developmental Cognitive Neuroscience. 1: 260-70. PMID 22318914 DOI: 10.1016/J.Dcn.2011.01.004  0.748
2010 Scott-Van Zeeland AA, Abrahams BS, Alvarez-Retuerto AI, Sonnenblick LI, Rudie JD, Ghahremani D, Mumford JA, Poldrack RA, Dapretto M, Geschwind DH, Bookheimer SY. Altered functional connectivity in frontal lobe circuits is associated with variation in the autism risk gene CNTNAP2. Science Translational Medicine. 2: 56ra80. PMID 21048216 DOI: 10.1126/Scitranslmed.3001344  0.706
Low-probability matches (unlikely to be authored by this person)
2019 Rudie JD, Weiss DA, Saluja R, Rauschecker AM, Wang J, Sugrue L, Bakas S, Colby JB. Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network. Frontiers in Computational Neuroscience. 13: 84. PMID 31920609 DOI: 10.3389/Fncom.2019.00084  0.3
2020 Rudie JD, Rauschecker AM, Xie L, Wang J, Duong MT, Botzolakis EJ, Kovalovich A, Egan JM, Cook T, Bryan RN, Nasrallah IM, Mohan S, Gee JC. Subspecialty-Level Deep Gray Matter Differential Diagnoses with Deep Learning and Bayesian Networks on Clinical Brain MRI: A Pilot Study. Radiology. Artificial Intelligence. 2: e190146. PMID 33937838 DOI: 10.1148/ryai.2020190146  0.295
2015 Rudie JD, Colby JB, Salamon N. Machine learning classification of mesial temporal sclerosis in epilepsy patients. Epilepsy Research. 117: 63-69. PMID 26421492 DOI: 10.1016/J.Eplepsyres.2015.09.005  0.29
2021 Calabrese E, Rudie JD, Rauschecker AM, Villanueva-Meyer JE, Cha S. Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower-Grade Gliomas by Using Three-dimensional Fully Convolutional Neural Networks. Radiology. Artificial Intelligence. 3: e200276. PMID 34617027 DOI: 10.1148/ryai.2021200276  0.285
2024 Rudie JD, Saluja R, Weiss DA, Nedelec P, Calabrese E, Colby JB, Laguna B, Mongan J, Braunstein S, Hess CP, Rauschecker AM, Sugrue LP, Villanueva-Meyer JE. The University of California San Francisco, Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset. Radiology. Artificial Intelligence. e230126. PMID 38381038 DOI: 10.1148/ryai.230126  0.272
2021 Rudie JD, Weiss DA, Colby JB, Rauschecker AM, Laguna B, Braunstein S, Sugrue LP, Hess CP, Villanueva-Meyer JE. Three-dimensional U-Net Convolutional Neural Network for Detection and Segmentation of Intracranial Metastases. Radiology. Artificial Intelligence. 3: e200204. PMID 34136817 DOI: 10.1148/ryai.2021200204  0.268
2021 Weiss DA, Saluja R, Xie L, Gee JC, Sugrue LP, Pradhan A, Nick Bryan R, Rauschecker AM, Rudie JD. Automated multiclass tissue segmentation of clinical brain MRIs with lesions. Neuroimage. Clinical. 31: 102769. PMID 34333270 DOI: 10.1016/j.nicl.2021.102769  0.267
2019 Langlotz CP, Allen B, Erickson BJ, Kalpathy-Cramer J, Bigelow K, Cook TS, Flanders AE, Lungren MP, Mendelson DS, Rudie JD, Wang G, Kandarpa K. A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop. Radiology. 190613. PMID 30990384 DOI: 10.1148/Radiol.2019190613  0.263
2019 Fathi Kazerooni A, Rathore S, Akbari H, Rudie J, Sako C, Min Ha S, Mamourian E, Bakas S, Shukla G, Bilello M, Davatzikos C. NIMG-35. QUANTITATIVE ESTIMATION OF PROGRESSION-FREE SURVIVAL BASED ON RADIOMICS ANALYSIS OF PREOPERATIVE MULTI-PARAMETRIC MRI IN PATIENTS WITH GLIOBLASTOMA Neuro-Oncology. 21: vi168-vi169. DOI: 10.1093/Neuonc/Noz175.705  0.26
2019 Rudie JD, Rauschecker AM, Bryan RN, Davatzikos C, Mohan S. Emerging Applications of Artificial Intelligence in Neuro-Oncology. Radiology. 181928. PMID 30667332 DOI: 10.1148/Radiol.2018181928  0.255
2022 Rudie JD, Calabrese E, Saluja R, Weiss D, Colby JB, Cha S, Hess CP, Rauschecker AM, Sugrue LP, Villanueva-Meyer JE. Longitudinal Assessment of Posttreatment Diffuse Glioma Tissue Volumes with Three-dimensional Convolutional Neural Networks. Radiology. Artificial Intelligence. 4: e210243. PMID 36204543 DOI: 10.1148/ryai.210243  0.249
2021 Rudie JD, Duda J, Duong MT, Chen PH, Xie L, Kurtz R, Ware JB, Choi J, Mattay RR, Botzolakis EJ, Gee JC, Bryan RN, Cook TS, Mohan S, Nasrallah IM, et al. Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance. Journal of Digital Imaging. PMID 34131794 DOI: 10.1007/s10278-021-00470-1  0.242
2023 Ma SX, Dhanaliwala AH, Rudie JD, Rauschecker AM, Roberts-Wolfe D, Haddawy P, Kahn CE. Bayesian Networks in Radiology. Radiology. Artificial Intelligence. 5: e210187. PMID 38074791 DOI: 10.1148/ryai.210187  0.24
2022 Calabrese E, Rudie JD, Rauschecker AM, Villanueva-Meyer JE, Clarke JL, Solomon DA, Cha S. Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma. Neuro-Oncology Advances. 4: vdac060. PMID 35611269 DOI: 10.1093/noajnl/vdac060  0.238
2019 Rudie JD, Mattay RR, Schindler M, Steingall S, Cook TS, Loevner L, Schnall MD, Mamourian AC, Bilello M. An Initiative to Reduce Unnecessary Gadolinium-Based Contrast in Multiple Sclerosis Patients. Journal of the American College of Radiology : Jacr. PMID 31092348 DOI: 10.1016/J.Jacr.2019.04.005  0.238
2022 Calabrese E, Villanueva-Meyer JE, Rudie JD, Rauschecker AM, Baid U, Bakas S, Cha S, Mongan JT, Hess CP. The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset. Radiology. Artificial Intelligence. 4: e220058. PMID 36523646 DOI: 10.1148/ryai.220058  0.234
2023 Kazerooni AF, Khalili N, Liu X, Haldar D, Jiang Z, Anwar SM, Albrecht J, Adewole M, Anazodo U, Anderson H, Bagheri S, Baid U, Bergquist T, Calabrese E, Chung V, ... ... Rudie JD, et al. The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). Arxiv. PMID 37292481  0.232
2019 Duong MT, Rauschecker AM, Rudie JD, Chen PH, Cook TS, Bryan RN, Mohan S. Artificial intelligence for precision education in radiology. The British Journal of Radiology. 20190389. PMID 31322909 DOI: 10.1259/Bjr.20190389  0.226
2023 Adewole M, Rudie JD, Gbadamosi A, Toyobo O, Raymond C, Zhang D, Omidiji O, Akinola R, Suwaid MA, Emegoakor A, Ojo N, Aguh K, Kalaiwo C, Babatunde G, Ogunleye A, et al. The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa). Arxiv. PMID 37396608  0.223
2020 Bryan RN, Davatzikos C, Herskovits EH, Mohan S, Rudie JD, Rauschecker AM. Medical Image Analysis: Human and Machine. Academic Radiology. 27: 76-81. PMID 31818388 DOI: 10.1016/J.Acra.2019.09.011  0.215
2023 Moawad AW, Janas A, Baid U, Ramakrishnan D, Jekel L, Krantchev K, Moy H, Saluja R, Osenberg K, Wilms K, Kaur M, Avesta A, Pedersen GC, Maleki N, Salimi M, ... ... Rudie J, et al. The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI. Arxiv. PMID 37396600  0.214
2022 Rudie JD, Gleason T, Barkovich MJ, Wilson DM, Shankaranarayanan A, Zhang T, Wang L, Gong E, Zaharchuk G, Villanueva-Meyer JE. Clinical Assessment of Deep Learning-based Super-Resolution for 3D Volumetric Brain MRI. Radiology. Artificial Intelligence. 4: e210059. PMID 35391765 DOI: 10.1148/ryai.210059  0.207
2022 Bakas S, Sako C, Akbari H, Bilello M, Sotiras A, Shukla G, Rudie JD, SantamarĂ­a NF, Kazerooni AF, Pati S, Rathore S, Mamourian E, Ha SM, Parker W, Doshi J, et al. The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics. Scientific Data. 9: 453. PMID 35906241 DOI: 10.1038/s41597-022-01560-7  0.175
2021 Rauschecker AM, Gleason TJ, Nedelec P, Duong MT, Weiss DA, Calabrese E, Colby JB, Sugrue LP, Rudie JD, Hess CP. Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation Algorithm. Radiology. Artificial Intelligence. 4: e200152. PMID 35146430 DOI: 10.1148/ryai.2021200152  0.14
2020 Akbari H, Rathore S, Bakas S, Nasrallah MP, Shukla G, Mamourian E, Rozycki M, Bagley SJ, Rudie JD, Flanders AE, Dicker AP, Desai AS, O'Rourke DM, Brem S, Lustig R, et al. Histopathology-validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo-progression in glioblastoma. Cancer. PMID 32129893 DOI: 10.1002/Cncr.32790  0.13
2020 Akbari H, Rathore S, Bakas S, Nasrallah MP, Shukla G, Mamourian E, Rozycki M, Bagley SJ, Rudie JD, Flanders AE, Dicker AP, Desai AS, O'Rourke DM, Brem S, Lustig R, et al. Histopathology-validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo-progression in glioblastoma. Cancer. PMID 32129893 DOI: 10.1002/Cncr.32790  0.13
2022 Duong MT, Rudie JD, Mohan S. Neuroimaging Patterns of Intracranial Infections: Meningitis, Cerebritis, and Their Complications. Neuroimaging Clinics of North America. 33: 11-41. PMID 36404039 DOI: 10.1016/j.nic.2022.07.001  0.127
2022 Mattay RR, Davtyan K, Rudie JD, Mattay GS, Jacobs DA, Schindler M, Loevner LA, Schnall MD, Bilello M, Mamourian AC, Cook TS. Economic impact of selective use of contrast for routine follow-up MRI of patients with multiple sclerosis. Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging. PMID 35294074 DOI: 10.1111/jon.12984  0.126
2022 Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C, Sako C, Ghodasara S, Bilello M, Mohan S, Vollmuth P, ... ... Rudie J, et al. Federated learning enables big data for rare cancer boundary detection. Nature Communications. 13: 7346. PMID 36470898 DOI: 10.1038/s41467-022-33407-5  0.093
2020 Fathi Kazerooni A, Akbari H, Shukla G, Badve C, Rudie JD, Sako C, Rathore S, Bakas S, Pati S, Singh A, Bergman M, Ha SM, Kontos D, Nasrallah M, Bagley SJ, et al. Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma. Jco Clinical Cancer Informatics. 4: 234-244. PMID 32191542 DOI: 10.1200/CCI.19.00121  0.083
2020 Fathi Kazerooni A, Akbari H, Shukla G, Badve C, Rudie JD, Sako C, Rathore S, Bakas S, Pati S, Singh A, Bergman M, Ha SM, Kontos D, Nasrallah M, Bagley SJ, et al. Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma. Jco Clinical Cancer Informatics. 4: 234-244. PMID 32191542 DOI: 10.1200/CCI.19.00121  0.083
2023 Lee MD, Patel SH, Mohan S, Akbari H, Bakas S, Nasrallah MP, Calabrese E, Rudie J, Villanueva-Meyer J, LaMontagne P, Marcus DS, Colen RR, Balana C, Choi YS, Badve C, et al. Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium. Neuroradiology. PMID 37468750 DOI: 10.1007/s00234-023-03196-9  0.06
2023 Wahlig SG, Nedelec P, Weiss DA, Rudie JD, Sugrue LP, Rauschecker AM. 3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies. Frontiers in Neuroscience. 17: 1188336. PMID 37965219 DOI: 10.3389/fnins.2023.1188336  0.03
2023 Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C, Sako C, Ghodasara S, Bilello M, Mohan S, Vollmuth P, ... ... Rudie J, et al. Author Correction: Federated learning enables big data for rare cancer boundary detection. Nature Communications. 14: 436. PMID 36702828 DOI: 10.1038/s41467-023-36188-7  0.023
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