| 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 | 2775 | 2018 |
| Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: a cross-sectional study JR Zech, MA Badgeley, M Liu, AB Costa, JJ Titano, EK Oermann PLoS medicine 15 (11), e1002683, 2018 | 1830 | 2018 |
| Federated learning for predicting clinical outcomes in patients with COVID-19 I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ... Nature medicine 27 (10), 1735-1743, 2021 | 885 | 2021 |
| Automated deep-neural-network surveillance of cranial images for acute neurologic events JJ Titano, M Badgeley, J Schefflein, M Pain, A Su, M Cai, N Swinburne, ... Nature medicine 24 (9), 1337-1341, 2018 | 491 | 2018 |
| Health system-scale language models are all-purpose prediction engines LY Jiang, XC Liu, NP Nejatian, M Nasir-Moin, D Wang, A Abidin, K Eaton, ... Nature 619 (7969), 357-362, 2023 | 474 | 2023 |
| Aneurysmal subarachnoid hemorrhage: the last decade SN Neifert, EK Chapman, ML Martini, WH Shuman, AJ Schupper, ... Translational stroke research 12 (3), 428-446, 2021 | 408 | 2021 |
| Pharmacologic inhibition of cyclin-dependent kinases 4 and 6 arrests the growth of glioblastoma multiforme intracranial xenografts K Michaud, DA Solomon, E Oermann, JS Kim, WZ Zhong, MD Prados, ... Cancer research 70 (8), 3228-3238, 2010 | 389 | 2010 |
| An update to the Raymond–Roy occlusion classification of intracranial aneurysms treated with coil embolization JR Mascitelli, H Moyle, EK Oermann, MF Polykarpou, AA Patel, AH Doshi, ... Journal of neurointerventional surgery 7 (7), 496-502, 2015 | 383 | 2015 |
| Stereotactic body radiation therapy (SBRT) for clinically localized prostate cancer: the Georgetown University experience LN Chen, S Suy, S Uhm, EK Oermann, AW Ju, V Chen, HN Hanscom, ... Radiation oncology 8 (1), 58, 2013 | 292 | 2013 |
| An attention based deep learning model of clinical events in the intensive care unit DA Kaji, JR Zech, JS Kim, SK Cho, NS Dangayach, AB Costa, ... PloS one 14 (2), e0211057, 2019 | 257 | 2019 |
| Examining the ability of artificial neural networks machine learning models to accurately predict complications following posterior lumbar spine fusion JS Kim, RK Merrill, V Arvind, D Kaji, SD Pasik, CC Nwachukwu, L Vargas, ... Spine 43 (12), 853-860, 2018 | 208 | 2018 |
| MicroRNA profiling in prostate cancer-the diagnostic potential of urinary miR-205 and miR-214 A Srivastava, H Goldberger, A Dimtchev, M Ramalinga, J Chijioke, ... PloS one 8 (10), e76994, 2013 | 203 | 2013 |
| Deep learning and neurology: a systematic review AAA Valliani, D Ranti, EK Oermann Neurology and therapy 8 (2), 351-365, 2019 | 201 | 2019 |
| Natural language–based machine learning models for the annotation of clinical radiology reports J Zech, M Pain, J Titano, M Badgeley, J Schefflein, A Su, A Costa, ... Radiology 287 (2), 570-580, 2018 | 193 | 2018 |
| Predicting trends in cervical spinal surgery in the United States from 2020 to 2040 SN Neifert, ML Martini, F Yuk, IT McNeill, JM Caridi, J Steinberger, ... World neurosurgery 141, e175-e181, 2020 | 174 | 2020 |
| Medical large language models are vulnerable to data-poisoning attacks DA Alber, Z Yang, A Alyakin, E Yang, S Rai, AA Valliani, J Zhang, ... Nature Medicine 31 (2), 618-626, 2025 | 163 | 2025 |
| Alterations of metabolic genes and metabolites in cancer EK Oermann, J Wu, KL Guan, Y Xiong Seminars in cell & developmental biology 23 (4), 370-380, 2012 | 146 | 2012 |
| Deep learning guided stroke management: a review of clinical applications R Feng, M Badgeley, J Mocco, EK Oermann Journal of neurointerventional surgery 10 (4), 358-362, 2018 | 144 | 2018 |
| Sensor modalities for brain-computer interface technology: a comprehensive literature review ML Martini, EK Oermann, NL Opie, F Panov, T Oxley, K Yaeger Neurosurgery 86 (2), E108-E117, 2020 | 123 | 2020 |
| Using a machine learning approach to predict outcomes after radiosurgery for cerebral arteriovenous malformations EK Oermann, A Rubinsteyn, D Ding, J Mascitelli, RM Starke, JB Bederson, ... Scientific reports 6 (1), 21161, 2016 | 123 | 2016 |
Anthony CostaNVIDIAVerified email at nvidia.com
