Hyeongyu Kim

According to our database, Hyeongyu Kim authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

MinT: Magnetic resonance image unsupervised translation via decoupling anatomical structure and contrast.

Hanbyol Jang, Hyeongyu Kim, Sewon Kim, Dosik Hwang

Comput. Biol. Medicine, 2025

Anatomical Consistency and Adaptive Prior-informed Transformation for Multi-contrast MR Image Synthesis via Diffusion Model.

Yejee Shin, Yeeun Lee, Hanbyol Jang, Geonhui Son, Hyeongyu Kim, Dosik Hwang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2023

HEaaN.MLIR: An Optimizing Compiler for Fast Ring-Based Homomorphic Encryption.

Sunjae Park, Woosung Song, Seunghyeon Nam, Hyeongyu Kim, Junbum Shin, Juneyoung Lee

Proc. ACM Program. Lang., 2023

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.

Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, M. Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren

Medical Image Anal., 2023

Position-Encoded Pixel-to-Prototype Contrastive Learning for Aortic Vessel Tree Segmentation.

Hyeongyu Kim, Yejee Shin, Dosik Hwang

Proceedings of the Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition, 2023

DiMix: Disentangle-and-Mix Based Domain Generalizable Medical Image Segmentation.

Hyeongyu Kim, Yejee Shin, Dosik Hwang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Use of Attention Mechanism for Decoder in Deep Learning-based Image Super Resolution.

Hyeongyu Kim, Byung Chan Choi, Haewoon Nam

Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation.

Hyungseob Shin, Hyeongyu Kim, Sewon Kim, Yohan Jun, Taejoon Eo, Dosik Hwang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training.

Hyungseob Shin, Hyeongyu Kim, Sewon Kim, Yohan Jun, Taejoon Eo, Dosik Hwang

CoRR, 2022

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation.

Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren

CoRR, 2022

Image-to-Image Translation for Near-Infrared Image Colorization.

Hyeongyu Kim, Jonghyun Kim, Joongkyu Kim

Proceedings of the International Conference on Electronics, Information, and Communication, 2022

2021

Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation.

Hyungseob Shin, Hyeongyu Kim, Sewon Kim, Yohan Jun, Taejoon Eo, Dosik Hwang

CoRR, 2021

Rethinking Pixel-Wise Loss for Face Super-Resolution.

Jonghyun Kim, Jiun Lee, Hyeongyu Kim, Wonjoon Song, Joongkyu Kim

Proceedings of the International Conference on Electronics, Information, and Communication, 2021