Effects of a lobelane analog on [11C]DTBZ binding to the VMAT2. - Michael R. Kilbourn; Phillip S. Sherman; Carole Quesada; Ashish P. Vartak; Peter A. Crooks; Linda P. Dwoskin (NeuroImage, 2010)

Retrospective analysis of health claims to evaluate pharmacotherapies with potential for repurposing: Association of bupropion and stimulant use disorder remission. - Emily R. Hankosky; Heather M. Bush; Linda P. Dwoskin; Daniel R. Harris; Darren W. Henderson; Guo-Qiang Zhang 001; Patricia R. Freeman; Jeffery C. Talbert (AMIA, 2018)

Predicting Substance Use Disorder in ADHD Patients using Long-Short Term Memory Model. - Sajjad Fouladvand; Emily R. Hankosky; Darren W. Henderson; Heather Bush; Jin Chen 004; Linda P. Dwoskin; Patricia R. Freeman; Kathleen Kantak; Jeffery C. Talbert; Shiqiang Tao; Guo-Qiang Zhang 001 (ICHI Workshops, 2018)

Predicting substance use disorder using long-term attention deficit hyperactivity disorder medication records in Truven. - Sajjad Fouladvand; Emily R. Hankosky; Heather Bush; Jin Chen 004; Linda P. Dwoskin; Patricia R. Freeman; Darren W. Henderson; Kathleen Kantak; Jeffery C. Talbert; Shiqiang Tao; Guo-Qiang Zhang 001 (Health Informatics J., 2020)

Identifying Opioid Use Disorder from Longitudinal Healthcare Data using a Multi-stream Transformer. - Sajjad Fouladvand; Jeffery C. Talbert; Linda P. Dwoskin; Heather M. Bush; Amy Lynn Meadows; Lars E. Peterson; Steve K. Roggenkamp; Ramakanth Kavuluru; Jin Chen 004 (AMIA, 2021)

Predicting Opioid Use Disorder from Longitudinal Healthcare Data using Multi-stream Transformer. - Sajjad Fouladvand; Jeffery C. Talbert; Linda P. Dwoskin; Heather Bush; Amy Lynn Meadows; Lars E. Peterson; Ramakanth Kavuluru; Jin Chen 004 (CoRR, 2021)

A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models. - Sajjad Fouladvand; Jeffery C. Talbert; Linda P. Dwoskin; Heather Bush; Amy Lynn Meadows; Lars E. Peterson; Yash R. Mishra; Steven K. Roggenkamp; Fei Wang; Ramakanth Kavuluru; Jin Chen 004 (IEEE J. Biomed. Health Informatics, 2023)