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Eric Karl Oermann
Eric Karl Oermann
New York University
Verified email at georgetown.edu
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Cited by
Year
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
11412018
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
8132018
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
3022018
Pharmacologic Inhibition of Cyclin-Dependent Kinases 4 and 6 Arrests the Growth of Glioblastoma Multiforme Intracranial XenograftsPD-0332991 Arrests the Growth of GBM …
K Michaud, DA Solomon, E Oermann, JS Kim, WZ Zhong, MD Prados, ...
Cancer research 70 (8), 3228-3238, 2010
3012010
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
2502015
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), 1-10, 2013
2412013
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
1762013
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
1512021
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
1282019
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
1282018
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
1142012
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, 2018
1082018
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
982018
CyberKnife radiosurgery for inoperable stage IA non-small cell lung cancer: 18F-fluorodeoxyglucose positron emission tomography/computed tomography serial tumor response assessment
S Vahdat, EK Oermann, SP Collins, X Yu, M Abedalthagafi, P DeBrito, ...
Journal of hematology & oncology 3 (1), 1-6, 2010
882010
Aneurysmal subarachnoid hemorrhage: the last decade
SN Neifert, EK Chapman, ML Martini, WH Shuman, AJ Schupper, ...
Translational stroke research 12 (3), 428-446, 2021
852021
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), 1-12, 2016
822016
Effect of prior embolization on cerebral arteriovenous malformation radiosurgery outcomes: a case-control study
EK Oermann, D Ding, CP Yen, RM Starke, JB Bederson, D Kondziolka, ...
Neurosurgery 77 (3), 406-417, 2015
822015
Confounding variables can degrade generalization performance of radiological deep learning models
JR Zech, MA Badgeley, M Liu, AB Costa, JJ Titano, EK Oermann
arXiv preprint arXiv:1807.00431, 2018
772018
Deep learning and neurology: a systematic review
AAA Valliani, D Ranti, EK Oermann
Neurology and therapy 8 (2), 351-365, 2019
762019
CyberKnife for hilar lung tumors: report of clinical response and toxicity
K Unger, A Ju, E Oermann, S Suy, X Yu, S Vahdat, D Subramaniam, ...
Journal of hematology & oncology 3 (1), 1-7, 2010
642010
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Articles 1–20