Anuj Kapadia Section Head, Advanced Computing Methods for Health Sciences Contact 865.341.0796 | KAPADIAAJ@ORNL.GOV All Publications Identifying spatiotemporal patterns in opioid vulnerability: investigating the links between disability, prescription opioids... Black-box optimization of CT acquisition and reconstruction parameters: a reinforcement learning approach State-level suicide mortality insights: a comparative study of VHA veterans and the whole US population VA Determinants of Health Data Curation Documentation FY25-Q2... Scale-up Unlearnable Examples Learning with High-performance Computing Integrating chromosome conformation and DNA repair in a computational framework to assess cell radiosensitivity... Geographical Insights into Suicide Mortality Through Spatial Machine Learning VA EDH Advanced Software Pipeline Framework Report: Enhancing Automation and Scalability VA EDH Data Curation Documentation FY25-Q1... LUCID Thrust 1 - Dataset Identification and Biodata Catalog Creation VA EDH Data Curation Documentation FY24-Q4... Oak Ridge National Laboratory's Strategic Research and Development Insights for Digital Twins VA EDH Data Curation Documentation FY24-Q3 VA EDH Data Curation Documentation FY24-Q2 Evaluating county-level lung cancer incidence from environmental radiation exposure, PM2.5, and other exposures with regression and machine learning models Spatial analysis of social capital and community heterogeneity at the United States county level VA EDH Data Curation Documentation FY24-Q1 Medical Physics Leadership Academy Journal Club (Leadership Club) program: Two-year review in building a community of leaders Exploring the Spatial Patterning of Sociodemographic Disparities in Extreme Heat Exposure at Multiple Scales Across the Conterminous United States VA-Environmental Determinants of Health’s Software Pipeline Framework VA EDH Data Curation Documentation FY23-Q4 Dataset Repository for Investigating Suicide Risk Using Social and Environmental Determinants of Health VA EDH Data Curation Documentation FY23-Q3 VA EDH Data Curation Documentation FY23-Q2... Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications Pagination Current page 1 Page 2 Next page ›â¶Äº Last page Last » Key Links Organizations Computing and Computational Sciences Directorate Computational Sciences and Engineering Division Advanced Computing in Health Sciences Section
