Simulations of Breast Cancer Imaging Using Gamma-Ray Stimulated Emission Computed Tomography. - Manu N. Lakshmanan; Brian P. Harrawood; Greeshma A. Agasthya; Anuj J. Kapadia (IEEE Trans. Medical Imaging, 2014)

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)

Creating a Tools Ecosystem for Cross-Discipline Environmental Data Reuse. - Jeremy Logan; Greeshma A. Agasthya; Heidi A. Hanson; Matthew Wolf; Heechan Lee; Shaheen Dewji; Hong-Jun Yoon; Anuj J. Kapadia (IEEE BigData, 2021)

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)

Application of Unified Medical Language System (UMLS) to Standardize Pediatric Drug Data. - S. M. Shamimul Hasan; Greeshma A. Agasthya; Daniel Santel; Surbhi Bhatnagar; Ian Goethert; Tracy A. Glauser; John Pestian (ICHI, 2023)

A Data-Centric Approach to Detecting and Mitigating Demographic Bias in Pediatric Mental Health Text: A Case Study in Anxiety Detection. - Julia Ive; Paulina Bondaronek; Vishal Yadav; Daniel Santel; Tracy A. Glauser; Tina Cheng; Jeffrey R. Strawn; Greeshma A. Agasthya; Jordan Tschida; Sanghyun Choo; Mayanka Chandrashekar; Anuj J. Kapadia; et al. (CoRR, 2025)