| Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan R Pomponio, G Erus, M Habes, J Doshi, D Srinivasan, E Mamourian, ... NeuroImage 208, 116450, 2020 | 431 | 2020 |
| MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide VM Bashyam, G Erus, J Doshi, M Habes, IM Nasrallah, M Truelove-Hill, ... Brain 143 (7), 2312-2324, 2020 | 290 | 2020 |
| Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning GB Chand, DB Dwyer, G Erus, A Sotiras, E Varol, D Srinivasan, J Doshi, ... Brain 143 (3), 1027-1038, 2020 | 256 | 2020 |
| The Brain Chart of Aging: machine‐learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 … M Habes, R Pomponio, H Shou, J Doshi, E Mamourian, G Erus, ... Alzheimer's & Dementia 17 (1), 89-102, 2021 | 137 | 2021 |
| Characterizing heterogeneity in neuroimaging, cognition, clinical symptoms, and genetics among patients with late-life depression J Wen, CHY Fu, D Tosun, Y Veturi, Z Yang, A Abdulkadir, E Mamourian, ... JAMA psychiatry 79 (5), 464-474, 2022 | 87 | 2022 |
| Deep generative medical image harmonization for improving cross‐site generalization in deep learning predictors VM Bashyam, J Doshi, G Erus, D Srinivasan, A Abdulkadir, A Singh, ... Journal of Magnetic Resonance Imaging 55 (3), 908-916, 2022 | 76 | 2022 |
| Cortical activity in fine-motor tasks in children with Developmental Coordination Disorder: A preliminary fNIRS study P Caçola, N Getchell, D Srinivasan, G Alexandrakis, H Liu International Journal of Developmental Neuroscience 65, 83-90, 2018 | 57 | 2018 |
| A comparison of Freesurfer and multi-atlas MUSE for brain anatomy segmentation: Findings about size and age bias, and inter-scanner stability in multi-site aging studies D Srinivasan, G Erus, J Doshi, DA Wolk, H Shou, M Habes, C Davatzikos, ... Neuroimage 223, 117248, 2020 | 43 | 2020 |
| Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan. NeuroImage, 208, Article 116450 R Pomponio, G Erus, M Habes, J Doshi, D Srinivasan, E Mamourian, ... | 40 | 2019 |
| Computing personalized brain functional networks from fMRI using self-supervised deep learning H Li, D Srinivasan, C Zhuo, Z Cui, RE Gur, RC Gur, DJ Oathes, ... Medical image analysis 85, 102756, 2023 | 33 | 2023 |
| Harmonizing functional connectivity reduces scanner effects in community detection AA Chen, D Srinivasan, R Pomponio, Y Fan, IM Nasrallah, SM Resnick, ... NeuroImage 256, 119198, 2022 | 33 | 2022 |
| Schizophrenia imaging signatures and their associations with cognition, psychopathology, and genetics in the general population GB Chand, P Singhal, DB Dwyer, J Wen, G Erus, J Doshi, D Srinivasan, ... American Journal of Psychiatry 179 (9), 650-660, 2022 | 32 | 2022 |
| Medical image harmonization using deep learning based canonical mapping: Toward robust and generalizable learning in imaging VM Bashyam, J Doshi, G Erus, D Srinivasan, A Abdulkadir, M Habes, ... arXiv preprint arXiv:2010.05355, 2020 | 28 | 2020 |
| Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering Z Yang, J Wen, A Abdulkadir, Y Cui, G Erus, E Mamourian, R Melhem, ... Nature communications 15 (1), 354, 2024 | 26 | 2024 |
| Psychosis brain subtypes validated in first-episode cohorts and related to illness remission: results from the PHENOM consortium DB Dwyer, GB Chand, A Pigoni, A Khuntia, J Wen, M Antoniades, ... Molecular psychiatry 28 (5), 2008-2017, 2023 | 23 | 2023 |
| Disentangling Alzheimer’s disease neurodegeneration from typical brain ageing using machine learning G Hwang, A Abdulkadir, G Erus, M Habes, R Pomponio, H Shou, J Doshi, ... Brain Communications 4 (3), fcac117, 2022 | 19 | 2022 |
| iSTAGING consortium, the Preclinical AD consortium, the ADNI, and the CARDIA studies. The Brain Chart of Aging: machine-learning analytics reveals links between brain aging … M Habes, R Pomponio, H Shou, J Doshi, E Mamourian, G Erus, ... Alzheimers Dement 17 (1), 89-102, 2021 | 17 | 2021 |
| Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study Z Zhou, H Li, D Srinivasan, A Abdulkadir, IM Nasrallah, J Wen, J Doshi, ... NeuroImage 269, 119911, 2023 | 15 | 2023 |
| Red cell distribution width, anemia, and brain volumetric outcomes among middle-aged adults MA Beydoun, S Hossain, PH MacIver, D Srinivasan, HA Beydoun, ... Journal of Alzheimer’s Disease 81 (2), 711-727, 2021 | 14 | 2021 |
| Brain aging patterns in a large and diverse cohort of 49,482 individuals Z Yang, J Wen, G Erus, ST Govindarajan, R Melhem, E Mamourian, Y Cui, ... Nature medicine 30 (10), 3015-3026, 2024 | 12 | 2024 |
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIPatvirtintas el. paštas pennmedicine.upenn.edu
