| Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features S Bakas, H Akbari, A Sotiras, M Bilello, M Rozycki, JS Kirby, JB Freymann, ... Scientific data 4 (1), 1-13, 2017 | 3412 | 2017 |
| Deformable Medical Image Registration: A Survey A Sotiras, C Davatzikos, N Paragios Medical Imaging, IEEE Transactions on 32 (7), 1153-1190, 2013 | 2129 | 2013 |
| Segmentation labels and radiomic features for the pre-operative scans of the TCGA-GBM collection S Bakas, H Akbari, A Sotiras, M Bilello, M Rozycki, J Kirby, J Freymann, ... The Cancer Imaging Archive 286, 2017 | 944 | 2017 |
| DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting Y Ou, A Sotiras, N Paragios, C Davatzikos Medical Image Analysis 15 (4), 622-639, 2011 | 492 | 2011 |
| 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 | 300 | 2020 |
| Deformable Medical Image Registration: Setting the State of the Art with Discrete Methods* B Glocker, A Sotiras, N Komodakis, N Paragios Annual Review of Biomedical Engineering 13, 219-244, 2011 | 275 | 2011 |
| Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome C Davatzikos, S Rathore, S Bakas, S Pati, M Bergman, R Kalarot, ... Journal of Medical Imaging 5 (1), 011018, 2018 | 258 | 2018 |
| HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework E Varol, A Sotiras, C Davatzikos, ... NeuroImage 145, 346-364, 2017 | 233 | 2017 |
| Heterogeneity of neuroanatomical patterns in prodromal Alzheimer’s disease: links to cognition, progression and biomarkers A Dong, JB Toledo, N Honnorat, J Doshi, E Varol, A Sotiras, D Wolk, ... Brain 140 (3), 735-747, 2017 | 219 | 2017 |
| The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics S Bakas, C Sako, H Akbari, M Bilello, A Sotiras, G Shukla, JD Rudie, ... Scientific Data 9 (1), 1-12, 2022 | 207 | 2022 |
| Finding imaging patterns of structural covariance via Non-Negative Matrix Factorization A Sotiras, SM Resnick, C Davatzikos NeuroImage 108, 1-16, 2015 | 201 | 2015 |
| Patterns of coordinated cortical remodeling during adolescence and their associations with functional specialization and evolutionary expansion A Sotiras, JB Toledo, RE Gur, RC Gur, TD Satterthwaite, C Davatzikos Proceedings of the National Academy of Sciences 114 (13), 3527-3532, 2017 | 178 | 2017 |
| 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 | 172 | 2021 |
| 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 | 162 | 2018 |
| Evaluation of Non-negative matrix Factorization of grey matter in age prediction D Varikuti, S Genon, A Sotiras, H Schwender, F Hoffstaedter, C Jockwitz, ... NeuroImage, 2018 | 140 | 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 | 138 | 2022 |
| The cancer imaging phenomics toolkit (CaPTk): technical overview S Pati, A Singh, S Rathore, A Gastounioti, M Bergman, P Ngo, SM Ha, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 126 | 2020 |
| GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation S Bakas, K Zeng, A Sotiras, S Rathore, H Akbari, B Gaonkar, M Rozycki, ... International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke …, 2015 | 125 | 2015 |
| Neurobiological divergence of the positive and negative schizophrenia subtypes identified upon a new factor-structure of psychopathology using non-negative factorization: An … J Chen, KR Patil, S Weis, K Sim, T Nickl-Jockschat, J Zhou, A Aleman, ... Biological Psychiatry, 2019 | 123 | 2019 |
| Evidence for dissociable linkage of dimensions of psychopathology to brain structure in youths AN Kaczkurkin, SS Park, A Sotiras, TM Moore, ME Calkins, M Cieslak, ... American Journal of Psychiatry 176 (12), 1000-1009, 2019 | 120 | 2019 |
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Prof. Radiology/ESE/DBEI/CISVerified email at pennmedicine.upenn.edu
