Journal
[SCIE] Privacy-Preserving Large Language Model for Matching Findings and Tracking Interval Changes in Longitudinal Radiology Reports
Mathai, Tejas*, Boah Kim*, Oana Stroie, Ronald M. Summers
Journal of Imaging Informatics in Medicine (JIIM), 2025
Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim,
Benjamin Hou, Nusrat Rabbee, Abhinav Suri, and Ronald M. Summers
Radiology, 2025
[SCIE] Automated Classification of Body MRI Sequences Using Convolutional Neural Networks
Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Pritam Mukherjee, Jianfei Liu,
and Ronald M. Summers
Academic Radiology (ARAD), 2024
[SCIE] Classification of Multi-Parametric Body MRI Series Using Deep Learning
Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Peter A. Pinto,
and Ronald M. Summers
IEEE Journal of Biomedical and Health Informatics (JBHI), 2024
Boah Kim, Yan Zhuang, Tejas Sudharshan Mathai, and Ronald M. Summers
IEEE Transactions on Medical Imaging (TMI), 2024
[SCIE] End-to-End Semi-Supervised Opportunistic Osteoporosis Screening Using Computed Tomography
Jieun Oh, Boah Kim, Gyutaek Oh, Yul Hwangbo, Jong Chul Ye
Endocrinology and Metabolism (EnM), 2024
Boah Kim*, Yujin Oh*, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye
Medical Image Analysis (MedIA), 2023
[SCIE] Task-Agnostic Vision Transformer for Distributed Learning of Image Processing
Boah Kim*, Jeongsol Kim*, Jong Chul Ye
IEEE Transactions on Image Processing (TIP), 2022
[SCIE] CycleMorph: Cycle consistent unsupervised deformable image registration
Boah Kim, Dong Hwan Kim, Seong Ho Park, Jieun Kim, June-Goo Lee, Jong Chul Ye
Medical Image Analysis (MedIA), 2021
[SCIE] Mumford–Shah Loss Functional for Image Segmentation With Deep Learning
Boah Kim, Jong Chul Ye
IEEE Transactions on Image Processing (TIP), 2019