Boah Kim

30 papers A* 2Journal 21Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Benchmarking Multi-Organ Segmentation Tools for Multi-Parametric T1-weighted Abdominal MRI.
CoRR
Nicole Tran, Anisa Prasad, Yan Zhuang, Tejas Sudharshan Mathai, Boah Kim, Sydney Lewis, Pritam Mukherjee, Jianfei Liu, Ronald M. Summers
2025 J jnl
Classification of Multi-Parametric Body MRI Series Using Deep Learning.
CoRR
Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Peter A. Pinto, Ronald M. Summers
2025 — conf
Leveraging Multiphase CT for Quality Enhancement of Portal Venous CT: Utility for Pancreas Segmentation.
ISBI
Xinya Wang, Tejas Sudharshan Mathai, Boah Kim, Ronald M. Summers
2025 J jnl
Leveraging Multiphase CT for Quality Enhancement of Portal Venous CT: Utility for Pancreas Segmentation.
CoRR
Xinya Wang, Tejas Sudharshan Mathai, Boah Kim, Ronald M. Summers
2025 J jnl
OTMorph: Unsupervised Multi-Domain Abdominal Medical Image Registration Using Neural Optimal Transport.
IEEE Trans. Medical Imaging
Boah Kim, Yan Zhuang, Tejas Sudharshan Mathai, Ronald M. Summers
2024 J jnl
Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks.
CoRR
Kimberly Helm, Tejas Sudharshan Mathai, Boah Kim, Pritam Mukherjee, Jianfei Liu, Ronald M. Summers
2024 — conf
Automated Classification of Multi-Parametric Body MRI Series.
ISBI
Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Ronald M. Summers
2024 J jnl
Automated classification of multi-parametric body MRI series.
CoRR
Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Ronald M. Summers
2024 J jnl
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation.
Medical Image Anal.
Boah Kim, Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye
2024 J jnl
Classification of Multi-Parametric Body MRI Series Using Deep Learning.
IEEE J. Biomed. Health Informatics
Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Peter A. Pinto, Ronald M. Summers
2024 J jnl
MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI.
CoRR
Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim, Benjamin Hou, Nusrat Rabbee, Ronald M. Summers
2023 J jnl
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation.
CoRR
Boah Kim, Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye
2023 A* conf
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation.
ICLR
Boah Kim, Yujin Oh, Jong Chul Ye
2023 — conf
Semantic Image Synthesis for Abdominal CT.
DGM4MICCAI
Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers
2023 J jnl
Semantic Image Synthesis for Abdominal CT.
CoRR
Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers
2023 J jnl
Task-Agnostic Vision Transformer for Distributed Learning of Image Processing.
IEEE Trans. Image Process.
Boah Kim, Jeongsol Kim, Jong Chul Ye
2022 — conf
Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram Equalization.
AICAS
Inhwa Han, Boah Kim, Eung-Yeop Kim, Jong Chul Ye
2022 — conf
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model.
ECCV (31)
Boah Kim, Inhwa Han, Jong Chul Ye
2022 J jnl
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation.
CoRR
Boah Kim, Yujin Oh, Jong Chul Ye
2022 — conf
Diffusion Deformable Model for 4D Temporal Medical Image Generation.
MICCAI (1)
Boah Kim, Jong Chul Ye
2022 J jnl
Diffusion Deformable Model for 4D Temporal Medical Image Generation.
CoRR
Boah Kim, Jong Chul Ye
2021 J jnl
CycleMorph: Cycle consistent unsupervised deformable image registration.
Medical Image Anal.
Boah Kim, Dong Hwan Kim, Seong Ho Park, Jieun Kim, June-Goo Lee, Jong Chul Ye
2021 J jnl
DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models.
CoRR
Boah Kim, Inhwa Han, Jong Chul Ye
2021 A* conf
Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis.
NeurIPS
Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, Jong Chul Ye
2021 J jnl
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training.
CoRR
Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, Jong Chul Ye
2020 J jnl
CycleMorph: Cycle Consistent Unsupervised Deformable Image Registration.
CoRR
Boah Kim, Dong Hwan Kim, Seong Ho Park, Jieun Kim, June-Goo Lee, Jong Chul Ye
2020 J jnl
Mumford-Shah Loss Functional for Image Segmentation With Deep Learning.
IEEE Trans. Image Process.
Boah Kim, Jong Chul Ye
2019 J jnl
Multiphase Level-Set Loss for Semi-Supervised and Unsupervised Segmentation with Deep Learning.
CoRR
Boah Kim, Jong Chul Ye
2019 — conf
Unsupervised Deformable Image Registration Using Cycle-Consistent CNN.
MICCAI (6)
Boah Kim, Jieun Kim, June-Goo Lee, Dong Hwan Kim, Seong Ho Park, Jong Chul Ye
2019 J jnl
Unsupervised Deformable Image Registration Using Cycle-Consistent CNN.
CoRR
Boah Kim, Jieun Kim, June-Goo Lee, Dong Hwan Kim, Seong Ho Park, Jong Chul Ye