Towards an Explainable AI Platform to Study Interruptions in Cancer Radiation Therapy. - Arash Shaban-Nejad; Nariman Ammar; Fekede Asefa Kumsa; Soheil Hashtarkhani; Brianna White; Lokesh K. Chinthala; Chase A. Owens; Neil Hayes; David L. Schwartz (MedInfo, 2023)

An Explainable AI Data Pipeline for Multi-Level Survival Prediction of Breast Cancer Patients Using Electronic Medical Records and Social Determinants of Health Data. - Soheil Hashtarkhani; Shelley White-Means; Sam Li; Rezaur Rashid; Fekede Asefa Kumsa; Cindy Lemon; Lluvia Chipman; Jill Dapremont; Brianna White; Arash Shaban-Nejad (IEEE Big Data, 2024)

AI-Ready Multimodal Data Pipeline to Enrich Cancer Care. - Rezaur Rashid; Soheil Hashtarkhani; Fekede Asefa Kumsa; Lokesh K. Chinthala; Brianna M. White; Janet A ZinK; Christopher L. Brett; Robert L. Davis; David L. Schwartz; Arash Shaban-Nejad (IEEE Big Data, 2024)

Enhancing Health Care Accessibility and Equity Through a Geoprocessing Toolbox for Spatial Accessibility Analysis: Development and Case Study. - Soheil Hashtarkhani; David L. Schwartz; Arash Shaban-Nejad (CoRR, 2024)

Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach. - Soheil Hashtarkhani; Yiwang Zhou; Fekede Asefa Kumsa; Shelley White-Means; David L. Schwartz; Arash Shaban-Nejad (CoRR, 2025)