A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT. - Thomas Atta-Fosu; Michael LaBarbera; Soumya Ghose; Paul Schoenhagen; Walid Saliba; Patrick J. Tchou; Bruce D. Lindsay; Milind Y. Desai; Deborah Kwon; Mina K. Chung; Anant Madabhushi (BMC Medical Imaging, 2021)

Interaction of a priori Anatomic Knowledge with Self-Supervised Contrastive Learning in Cardiac Magnetic Resonance Imaging. - Makiya Nakashima; Inyeop Jang; Ramesh Basnet; Mitchel Benovoy; W. H. Wilson Tang; Christopher Nguyen; Deborah Kwon; Tae-Hyun Hwang; David Chen 006 (CoRR, 2022)

Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision. - Makiya Nakashima; Donna Salem; W. H. Wilson Tang; Christopher Nguyen; Tae-Hyun Hwang; Ding Zhao; Byung-Hak Kim; Deborah Kwon; David Chen 006 (MLHC, 2023)

Indication Driven Autoregressive Report Generation for Cardiac Magnetic Resonance Imaging. - Makiya Nakashima; Po-Hao Chen 001; Michael Bolen; Christopher Nguyen; W. H. Wilson Tang; Richard Grimm; Deborah Kwon; David Chen 003 (ML4H@NeurIPS, 2024)

FairICP: identifying biases and increasing transparency at the point of care in post-implementation clinical decision support using inductive conformal prediction. - Xiaotan Sun; Makiya Nakashima; Christopher Nguyen; Po-Hao Chen 001; W. H. Wilson Tang; Deborah Kwon; David Chen 003 (J. Am. Medical Informatics Assoc., 2025)