Boah Kim

According to our database, Boah Kim authored at least 18 papers between 2019 and 2024.

Collaborative distances:

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

2024

Classification of Multi-Parametric Body MRI Series Using Deep Learning.

Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Peter A. Pinto, Ronald M. Summers

IEEE J. Biomed. Health Informatics, November, 2024

C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation.

Boah Kim, Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye

Medical Image Anal., January, 2024

MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI.

Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim, Benjamin Hou, Nusrat Rabbee, Ronald M. Summers

CoRR, 2024

Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks.

Kimberly Helm, Tejas Sudharshan Mathai, Boah Kim, Pritam Mukherjee, Jianfei Liu, Ronald M. Summers

CoRR, 2024

Automated Classification of Multi-Parametric Body MRI Series.

Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Ronald M. Summers

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Task-Agnostic Vision Transformer for Distributed Learning of Image Processing.

Boah Kim, Jeongsol Kim, Jong Chul Ye

IEEE Trans. Image Process., 2023

Semantic Image Synthesis for Abdominal CT.

Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation.

Boah Kim, Yujin Oh, Jong Chul Ye

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Diffusion Deformable Model for 4D Temporal Medical Image Generation.

Boah Kim, Jong Chul Ye

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model.

Boah Kim, Inhwa Han, Jong Chul Ye

Proceedings of the Computer Vision - ECCV 2022, 2022

Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram Equalization.

Inhwa Han, Boah Kim, Eung-Yeop Kim, Jong Chul Ye

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

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 Anal., 2021

DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models.

Boah Kim, Inhwa Han, Jong Chul Ye

CoRR, 2021

Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training.

Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, Jong Chul Ye

CoRR, 2021

Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis.

Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, Jong Chul Ye

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Mumford-Shah Loss Functional for Image Segmentation With Deep Learning.

Boah Kim, Jong Chul Ye

IEEE Trans. Image Process., 2020

2019

Multiphase Level-Set Loss for Semi-Supervised and Unsupervised Segmentation with Deep Learning.

Boah Kim, Jong Chul Ye

CoRR, 2019

Unsupervised Deformable Image Registration Using Cycle-Consistent CNN.

Boah Kim, Jieun Kim, June-Goo Lee, Dong Hwan Kim, Seong Ho Park, Jong Chul Ye

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019