Boah Kim

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Deformable Image Registration

Vessel Segmentation

Diffusion Models

Top Venues

Medical Image Anal.

IEEE Trans. Image Process.

Publications

Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim, Benjamin Hou, Nusrat Rabbee, Ronald M. Summers
MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI. CoRR (2024)
Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Ronald M. Summers
Automated classification of multi-parametric body MRI series. CoRR (2024)
Boah Kim, Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation. Medical Image Anal. 91 (2024)
Kimberly Helm, Tejas Sudharshan Mathai, Boah Kim, Pritam Mukherjee, Jianfei Liu, Ronald M. Summers
Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks. CoRR (2024)
Boah Kim, Jeongsol Kim, Jong Chul Ye
Task-Agnostic Vision Transformer for Distributed Learning of Image Processing. IEEE Trans. Image Process. 32 (2023)
Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers
Semantic Image Synthesis for Abdominal CT. CoRR (2023)
Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers
Semantic Image Synthesis for Abdominal CT. DGM4MICCAI (2023)
Boah Kim, Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation. CoRR (2023)
Boah Kim, Yujin Oh, Jong Chul Ye
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation. ICLR (2023)
Inhwa Han, Boah Kim, Eung-Yeop Kim, Jong Chul Ye
Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram Equalization. AICAS (2022)
Boah Kim, Yujin Oh, Jong Chul Ye
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation. CoRR (2022)
Boah Kim, Jong Chul Ye
Diffusion Deformable Model for 4D Temporal Medical Image Generation. MICCAI (1) (2022)
Boah Kim, Inhwa Han, Jong Chul Ye
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model. ECCV (31) (2022)
Boah Kim, Jong Chul Ye
Diffusion Deformable Model for 4D Temporal Medical Image Generation. CoRR (2022)
Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, Jong Chul Ye
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training. CoRR (2021)
Boah Kim, Inhwa Han, Jong Chul Ye
DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models. CoRR (2021)
Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, Jong Chul Ye
Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis. NeurIPS (2021)
Boah Kim, Dong Hwan Kim, Seong Ho Park, Jieun Kim, June-Goo Lee, Jong Chul Ye
CycleMorph: Cycle consistent unsupervised deformable image registration. Medical Image Anal. 71 (2021)
Boah Kim, Jong Chul Ye
Mumford-Shah Loss Functional for Image Segmentation With Deep Learning. IEEE Trans. Image Process. 29 (2020)
Boah Kim, Dong Hwan Kim, Seong Ho Park, Jieun Kim, June-Goo Lee, Jong Chul Ye
CycleMorph: Cycle Consistent Unsupervised Deformable Image Registration. CoRR (2020)
Boah Kim, Jieun Kim, June-Goo Lee, Dong Hwan Kim, Seong Ho Park, Jong Chul Ye
Unsupervised Deformable Image Registration Using Cycle-Consistent CNN. MICCAI (6) (2019)
Boah Kim, Jong Chul Ye
Multiphase Level-Set Loss for Semi-Supervised and Unsupervised Segmentation with Deep Learning. CoRR (2019)
Boah Kim, Jieun Kim, June-Goo Lee, Dong Hwan Kim, Seong Ho Park, Jong Chul Ye
Unsupervised Deformable Image Registration Using Cycle-Consistent CNN. CoRR (2019)