S. Borstelmann

Detecting Racial/Ethnic Health Disparities Using Deep Learning From Frontal Chest Radiography.

W. Galanter, J. Horowitz, J. Gichoya, 2022, Journal of the American College of Radiology : JACR.

Validation of a deep learning, value-based care model to predict mortality and comorbidities from chest radiographs in COVID-19

A. Katsaggelos, W. Galanter, J. Horowitz, 2022, PLOS digital health.

Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset

George Shih, Ross W. Filice, Prasanth Prasanna, 2019, Journal of Digital Imaging.

Machine Learning Principles for Radiology Investigators.

Stephen M Borstelmann, S. Borstelmann, 2020, Academic radiology.

Confusion in the Matrix: Going Beyond the Roc Curve

Saurabh Jha, Stephen M Borstelmann, S. Jha, 2019 .

Deep Learning-Based Digitally Reconstructed Tomography of the Chest in the Evaluation of Solitary Pulmonary Nodules: A Feasibility Study.

J. Horowitz, A. Flanders, P. Nikolaidis, 2022, Academic radiology.