| A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages S Rathore, M Habes, MA Iftikhar, A Shacklett, C Davatzikos NeuroImage 155, 530-548, 2017 | 666 | 2017 |
| White matter hyperintensities and imaging patterns of brain ageing in the general population M Habes, G Erus, JB Toledo, T Zhang, N Bryan, LJ Launer, Y Rosseel, ... Brain 139 (4), 1164-1179, 2016 | 446 | 2016 |
| 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 | 289 | 2020 |
| A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data H Li, M Habes, DA Wolk, Y Fan, ... Alzheimer's & Dementia 15 (8), 1059-1070, 2019 | 233 | 2019 |
| Multiethnic Genome-Wide Association Study of Cerebral White Matter Hyperintensities on MRI BFJ Verhaaren, S Debette, JC Bis, JA Smith, MK Ikram, HH Adams, ... Circulation: Cardiovascular Genetics 8 (2), 398-409, 2015 | 203 | 2015 |
| Cerebral small vessel disease genomics and its implications across the lifespan M Sargurupremraj, H Suzuki, X Jian, C Sarnowski, TE Evans, JC Bis, ... Nature communications 11 (1), 6285, 2020 | 150 | 2020 |
| Disentangling heterogeneity in Alzheimer’s disease and related dementias using data-driven methods M Habes, MJ Grothe, B Tunc, C McMillan, DA Wolk, C Davatzikos Biological psychiatry 88 (1), 70-82, 2020 | 148 | 2020 |
| Advanced brain aging: relationship with epidemiologic and genetic risk factors, and overlap with Alzheimer disease atrophy patterns M Habes, D Janowitz, G Erus, JB Toledo, SM Resnick, J Doshi, ... Translational Psychiatry 6 (4), e775, 2016 | 141 | 2016 |
| White matter lesions: Spatial heterogeneity, links to risk factors, cognition, genetics, and atrophy M Habes, A Sotiras, G Erus, JB Toledo, D Janowitz, DA Wolk, H Shou, ... Neurology 91 (10), e964-e975, 2018 | 137 | 2018 |
| 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 | 136 | 2021 |
| Association between waist circumference and gray matter volume in 2344 individuals from two adult community-based samples D Janowitz, K Wittfeld, J Terock, HJ Freyberger, K Hegenscheid, H Völzke, ... Neuroimage 122, 149-157, 2015 | 122 | 2015 |
| Microglia ablation alleviates myelin-associated catatonic signs in mice H Janova, S Arinrad, E Balmuth, M Mitjans, J Hertel, M Habes, RA Bittner, ... The Journal of clinical investigation 128 (2), 734-745, 2018 | 121 | 2018 |
| Enlarged perivascular spaces and cognition: a meta-analysis of 5 population-based studies S Hilal, CS Tan, HHH Adams, M Habes, V Mok, N Venketasubramanian, ... Neurology 91 (9), e832-e842, 2018 | 118 | 2018 |
| Senolytic therapy in mild Alzheimer’s disease: a phase 1 feasibility trial MM Gonzales, VR Garbarino, TF Kautz, JP Palavicini, M Lopez-Cruzan, ... Nature medicine 29 (10), 2481-2488, 2023 | 110 | 2023 |
| Heterogeneity of structural and functional imaging patterns of advanced brain aging revealed via machine learning methods H Eavani, M Habes, TD Satterthwaite, Y An, MK Hsieh, N Honnorat, ... Neurobiology of aging 71, 41-50, 2018 | 98 | 2018 |
| 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 | 86 | 2022 |
| A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure Z Yang, IM Nasrallah, H Shou, J Wen, J Doshi, M Habes, G Erus, ... Nature communications 12 (1), 7065, 2021 | 81 | 2021 |
| 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 |
| A priori collaboration in population imaging: the Uniform Neuro-Imaging of Virchow-Robin Spaces Enlargement consortium HHH Adams, S Hilal, P Schwingenschuh, K Wittfeld, SJ van der Lee, ... Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 1 (4 …, 2015 | 70 | 2015 |
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIGeverifieerd e-mailadres voor pennmedicine.upenn.edu