Machine Learning for Time to Event Biomedical Research. - Ioana Danciu; Greeshma A. Agasthya; Janet P. Tate; Amy C. Justice; Benjamin H. McMahon; Olga Ovchinnikova (AMIA, 2021)

Enabling Autonomous Electron Microscopy for Networked Computation and Steering. - Anees Al-Najjar; Nageswara S. V. Rao; Ramanan Sankaran; Maxim A. Ziatdinov; Debangshu Mukherjee; Olga Ovchinnikova; Kevin Roccapriore; Andrew R. Lupini; Sergei V. Kalinin (e-Science, 2022)

Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction. - Xiao Wang 004; Aristeidis Tsaris; Debangshu Mukherjee; Mohamed Wahib; Peng Chen 035; Mark Oxley; Olga Ovchinnikova; Jacob D. Hinkle (SC, 2022)

In with the old, in with the new: machine learning for time to event biomedical research. - Ioana Danciu; Greeshma A. Agasthya; Janet P. Tate; Mayanka Chandra Shekar; Ian Goethert; Olga Ovchinnikova; Benjamin H. McMahon; Amy C. Justice (J. Am. Medical Informatics Assoc., 2022)

VISION: Toward a Standardized Process for Radiology Image Management at the National Level. - Kathryn Knight; Ioana Danciu; Olga Ovchinnikova; Jacob D. Hinkle; Mayanka Chandra Shekar; Debangshu Mukherjee; Eileen McAllister; Caitlin Rizy; Kelly Cho; Amy C. Justice; Joseph Erdos; Peter Kuzmak; et al. (CoRR, 2024)

Domain Shift Analysis in Chest Radiographs Classification in a Veterans Healthcare Administration Population. - Mayanka Chandrashekar; Ian Goethert; Md Inzamam Ul Haque; Benjamin McMahon; Sayera Dhaubhadel; Kathryn Knight; Joseph Erdos; Donna Reagan; Caroline Taylor; Peter Kuzmak; John Michael Gaziano; Eileen McAllister; et al. (CoRR, 2024)