| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1793 | 2018 |
| Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data MJ Sheller, B Edwards, GA Reina, J Martin, S Pati, A Kotrotsou, ... Scientific reports 10 (1), 12598, 2020 | 1037 | 2020 |
| The rsna-asnr-miccai brats 2021 benchmark on brain tumor segmentation and radiogenomic classification U Baid, S Ghodasara, S Mohan, M Bilello, E Calabrese, E Colak, ... arXiv preprint arXiv:2107.02314, 2021 | 505 | 2021 |
| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 135 | 2022 |
| Multicenter study demonstrates radiomic features derived from magnetic resonance perfusion images identify pseudoprogression in glioblastoma N Elshafeey, A Kotrotsou, A Hassan, N Elshafei, I Hassan, S Ahmed, ... Nature communications 10 (1), 3170, 2019 | 130 | 2019 |
| Identifying the best machine learning algorithms for brain tumor segmentation S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... progression assessment, and overall survival prediction in the BRATS …, 2018 | 116 | 2018 |
| Radiomics to predict immunotherapy-induced pneumonitis: proof of concept RR Colen, T Fujii, MA Bilen, A Kotrotsou, S Abrol, KR Hess, J Hajjar, ... Investigational new drugs 36, 601-607, 2018 | 105 | 2018 |
| Radiomics in brain tumors: an emerging technique for characterization of tumor environment A Kotrotsou, PO Zinn, RR Colen Magnetic Resonance Imaging Clinics 24 (4), 719-729, 2016 | 90 | 2016 |
| A coclinical radiogenomic validation study: conserved magnetic resonance radiomic appearance of periostin-expressing glioblastoma in patients and xenograft models PO Zinn, SK Singh, A Kotrotsou, I Hassan, G Thomas, MM Luedi, ... Clinical Cancer Research 24 (24), 6288-6299, 2018 | 85 | 2018 |
| The federated tumor segmentation (fets) challenge S Pati, U Baid, M Zenk, B Edwards, M Sheller, GA Reina, P Foley, ... arXiv preprint arXiv:2105.05874, 2021 | 66 | 2021 |
| Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training S Thakur, J Doshi, S Pati, S Rathore, C Sako, M Bilello, SM Ha, G Shukla, ... NeuroImage 220, 117081, 2020 | 63 | 2020 |
| Phase I study of intraventricular infusions of autologous ex vivo expanded NK cells in children with recurrent medulloblastoma and ependymoma S Khatua, LJN Cooper, DI Sandberg, L Ketonen, JM Johnson, ME Rytting, ... Neuro-oncology 22 (8), 1214-1225, 2020 | 61 | 2020 |
| Ex vivo T2 relaxation: associations with age-related neuropathology and cognition RJ Dawe, DA Bennett, JA Schneider, SE Leurgans, A Kotrotsou, PA Boyle, ... Neurobiology of aging 35 (7), 1549-1561, 2014 | 54 | 2014 |
| Neuropathologic correlates of regional brain volumes in a community cohort of older adults A Kotrotsou, JA Schneider, DA Bennett, SE Leurgans, RJ Dawe, PA Boyle, ... Neurobiology of aging 36 (10), 2798-2805, 2015 | 48 | 2015 |
| The rsna-asnr-miccai brats 2021 benchmark on brain tumor segmentation and radiogenomic classification. arXiv 2021 U Baid, S Ghodasara, S Mohan, M Bilello, E Calabrese, E Colak, ... arXiv preprint arXiv:2107.02314, 2021 | 47 | 2021 |
| Radiomic Phenotyping in Brain Cancer to Unravel Hidden Information in Medical Images. S Abrol, A Kotrotsou, A Salem, PO Zinn, RR Colen Topics in Magnetic Resonance Imaging 26 (1), 43-53, 2017 | 38 | 2017 |
| Distinct radiomic phenotypes define glioblastoma TP53-PTEN-EGFR mutational landscape PO Zinn, SK Singh, A Kotrotsou, S Abrol, G Thomas, J Mosley, A Elakkad, ... Neurosurgery 64 (CN_suppl_1), 203-210, 2017 | 37 | 2017 |
| QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation-analysis of ranking scores and benchmarking results R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ... The journal of machine learning for biomedical imaging 2022, 2022 | 35 | 2022 |
| Multi-center study finds postoperative residual non-enhancing component of glioblastoma as a new determinant of patient outcome A Kotrotsou, A Elakkad, J Sun, GA Thomas, D Yang, S Abrol, W Wei, ... Journal of neuro-oncology 139, 125-133, 2018 | 35 | 2018 |
| Ex vivo MR volumetry of human brain hemispheres A Kotrotsou, DA Bennett, JA Schneider, RJ Dawe, T Golak, SE Leurgans, ... Magnetic resonance in medicine 71 (1), 364-374, 2014 | 35 | 2014 |
