Deborah Kwon

According to our database, Deborah Kwon authored at least 3 papers between 2021 and 2023.

Collaborative distances:

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

2023

Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision.

Makiya Nakashima, Donna Salem, HW 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