Deborah Kwon

According to our database, Deborah Kwon authored at least 5 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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, W. H. Wilson Tang, Deborah Kwon, David Chen

J. Am. Medical Informatics Assoc., 2025

2024

Indication Driven Autoregressive Report Generation for Cardiac Magnetic Resonance Imaging.

Makiya Nakashima, Po-Hao Chen, Michael Bolen, Christopher Nguyen, W. H. Wilson Tang, Richard Grimm, Deborah Kwon, David Chen

Proceedings of the Machine Learning for Health, 2024

2023

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

Proceedings of the Machine Learning for Healthcare Conference, 2023

2022

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

CoRR, 2022

2021

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