Eric Karl Oermann (Eric K Oermann, E K Oermann)

ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Venues

Nature biomedical engineering

Nature reviews. Clinical oncology

The Journal of bone and joint surgery. American volume

Radiology. Artificial intelligence

Georgetown University (BSC)

This page only lists publications with an associated author ORCID identifier.

Education History

Georgetown University

United States

BSC :: Mathematics

Publications

Mustafa Nasir-Moin, Lisa Irina Wadiura, Vlad Sacalean, Devin Juros, Misha Movahed-Ezazi, Emily K Lock, Andrew K Smith, Matthew D Lee, Hannah Weiss, Michael Müther, Daniel Alber, Sujay Ratna, Camila S Fang, Eric Suero-Molina, Sönke Hellwig, Walter Stummer, Karl Rössler, Johannes A Hainfellner, Georg Widhalm, Barbara Kiesel, David Reichert, Mario Mischkulnig, Rajan Jain, Jakob Straehle, Nicolas Neidert, Oliver Schnell, Juergen Beck, Jay Trautman, Steve Pastore, Donato Pacione, Dimitris Placantonakis, Eric Karl Oermann, John G Golfinos, Todd C Hollon, Matija Snuderl, Christian W Freudiger, Dieter Henrik Heiland, Daniel A Orringer
Localization of protoporphyrin IX during glioma-resection surgery via paired stimulated Raman histology and fluorescence microscopy. Nature biomedical engineering (2024)
Mustafa Nasir-Moin, Lisa Irina Wadiura, Vlad Sacalean, Devin Juros, Misha Movahed-Ezazi, Emily K Lock, Andrew K Smith, Matthew D Lee, Hannah Weiss, Michael Müther, Daniel Alber, Sujay Ratna, Camila S Fang, Eric Suero-Molina, Sönke Hellwig, Walter Stummer, Karl Rössler, Johannes A Hainfellner, Georg Widhalm, Barbara Kiesel, David Reichert, Mario Mischkulnig, Rajan Jain, Jakob Straehle, Nicolas Neidert, Oliver Schnell, Juergen Beck, Jay Trautman, Steve Pastore, Donato Pacione, Dimitris Placantonakis, Eric Karl Oermann, John G Golfinos, Todd C Hollon, Matija Snuderl, Christian W Freudiger, Dieter Henrik Heiland, Daniel A Orringer
Localization of protoporphyrin IX during glioma-resection surgery via paired stimulated Raman histology and fluorescence microscopy. Nature biomedical engineering 8 (6) (2024)
Mustafa Nasir-Moin, Lisa Irina Wadiura, Vlad Sacalean, Devin Juros, Misha Movahed-Ezazi, Emily K Lock, Andrew K Smith, Matthew D Lee, Hannah Weiss, Michael Müther, Daniel Alber, Sujay Ratna, Camila S Fang, Eric Suero-Molina, Sönke Hellwig, Walter Stummer, Karl Rössler, Johannes A Hainfellner, Georg Widhalm, Barbara Kiesel, David Reichert, Mario Mischkulnig, Rajan Jain, Jakob Straehle, Nicolas Neidert, Oliver Schnell, Juergen Beck, Jay Trautman, Steve Pastore, Donato Pacione, Dimitris Placantonakis, Eric Karl Oermann, John G Golfinos, Todd C Hollon, Matija Snuderl, Christian W Freudiger, Dieter Henrik Heiland, Daniel A Orringer
Localization of protoporphyrin IX during glioma-resection surgery via paired stimulated Raman histology and fluorescence microscopy. Nature biomedical engineering 8 (6) (2024)
Katherine E Link, Zane Schnurman, Chris Liu, Young Joon Fred Kwon, Lavender Yao Jiang, Mustafa Nasir-Moin, Sean Neifert, Juan Diego Alzate, Kenneth Bernstein, Tanxia Qu, Viola Chen, Eunice Yang, John G Golfinos, Daniel A Orringer, Douglas Kondziolka, Eric Karl Oermann
Longitudinal deep neural networks for assessing metastatic brain cancer on a large open benchmark. Nature communications 15 (1) (2024)
Lavender Yao Jiang, Xujin Chris Liu, Nima Pour Nejatian, Mustafa Nasir-Moin, Duo Wang, Anas Z Abidin, Kevin Eaton, Howard Antony Riina, Ilya Laufer, Paawan Punjabi, Madeline Miceli, Nora C Kim, Cordelia Orillac, Zane Schnurman, Christopher Livia, Hannah Weiss, David Blake Kurland, Sean Neifert, Yosef Dastagirzada, Douglas Kondziolka, Alexander T M Cheung, Grace Yang, Ming Cao, Mona G Flores, Anthony B Costa, Yindalon Aphinyanaphongs, Kyunghyun Cho, Eric Karl Oermann
Health system-scale language models are all-purpose prediction engines. Nature (2023)
Aly A Valliani, Faris F Gulamali, Young Joon Kwon, Michael L Martini, Chiatse Wang, Douglas Kondziolka, Viola J Chen, Weichung Wang, Anthony Beardsworth Costa, Eric Karl Oermann
Deploying deep learning models on unseen medical imaging using adversarial domain adaptation. PloS one 17 (10) (2022)
Eyal Lotan, B Zhang, Siddhant Dogra, W D Wang, D Carbone, Girish M Fatterpekar, Eric Karl Oermann, Yvonne W Lui
Development and Practical Implementation of a Deep Learning-Based Pipeline for Automated Pre- and Postoperative Glioma Segmentation. AJNR. American journal of neuroradiology (2021)
Michael L Martini, Sean N Neifert, Jonathan S Gal, Eric Karl Oermann, Jeffrey T Gilligan, John M Caridi
Drivers of Prolonged Hospitalization Following Spine Surgery: A Game-Theory-Based Approach to Explaining Machine Learning Models. The Journal of bone and joint surgery. American volume 103 (1) (2021)
Young Joon Fred Kwon, Danielle Toussie, Mark Finkelstein, Mario A Cedillo, Samuel Z Maron, Sayan Manna, Nicholas Voutsinas, Corey Eber, Adam Jacobi, Adam Bernheim, Yogesh Sean Gupta, Michael S Chung, Zahi Adel Fayad, Benjamin Scott Glicksberg, Eric Karl Oermann, Anthony Beardsworth Costa
Combining Initial Radiographs and Clinical Variables Improves Deep Learning Prognostication in Patients with COVID-19 from the Emergency Department. Radiology. Artificial intelligence 3 (2) (2020)
Michael L Martini, Eric Karl Oermann
Intraoperative brain tumour identification with deep learning. Nature reviews. Clinical oncology 17 (4) (2020)
John R Zech, Marcus A Badgeley, Manway Liu, Anthony Beardsworth Costa, Joseph J Titano, Eric Karl Oermann
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study. PLoS medicine 15 (11) (2018)

Eric Karl Oermann.css-eqlu8i{font-size:small;padding-left:4px;} (Eric K Oermann, E K Oermann)

Publication Activity (10 Years)

Top Topics

Top Venues

Eric Karl Oermann (Eric K Oermann, E K Oermann)