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Eric K. Oermann

Researcher at Icahn School of Medicine at Mount Sinai

Publications -  131
Citations -  5934

Eric K. Oermann is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Medicine & Cyberknife. The author has an hindex of 26, co-authored 113 publications receiving 3870 citations. Previous affiliations of Eric K. Oermann include Mount Sinai Health System & University of Washington.

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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas, +438 more
- 05 Nov 2018 - 
TL;DR: This study assesses the state-of-the-art machine learning methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018, and investigates the challenge of identifying the best ML algorithms for each of these tasks.
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Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study.

John R. Zech, +5 more
- 06 Nov 2018 - 
TL;DR: Pneumonia-screening CNNs robustly identified hospital system and department within a hospital, which can have large differences in disease burden and may confound predictions.
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Automated deep-neural-network surveillance of cranial images for acute neurologic events.

Joseph J. Titano, +15 more
- 13 Aug 2018 - 
TL;DR: A deep-learning algorithm is developed to provide rapid and accurate diagnosis of clinical 3D head CT-scan images to triage and prioritize urgent neurological events, thus potentially accelerating time to diagnosis and care in clinical settings.
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Pharmacologic inhibition of cyclin-dependent kinases 4 and 6 arrests the growth of glioblastoma multiforme intracranial xenografts

Karine Michaud, +8 more
- 15 Apr 2010 - 
TL;DR: The results support clinical trial evaluation of PD-0332991 against newly diagnosed as well as recurrent GBM, and indicate that Rb status is the primary determinant of potential benefit from this therapy.
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An update to the Raymond–Roy Occlusion Classification of intracranial aneurysms treated with coil embolization

Justin R Mascitelli, +8 more
- 01 Jul 2015 - 
TL;DR: The MRRC has the potential to expand the definition of adequate coil embolization, possibly decrease procedural risk, and help endovascular neurosurgeons predict which patients need closer angiographic follow-up.