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Hyeongyu Kim
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2020 – today
- 2023
- [j2]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:
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. 83: 102628 (2023) - [j1]Sunjae Park, Woosung Song, Seunghyeon Nam, Hyeongyu Kim, Junbum Shin, Juneyoung Lee:
HEaaN.MLIR: An Optimizing Compiler for Fast Ring-Based Homomorphic Encryption. Proc. ACM Program. Lang. 7(PLDI): 196-220 (2023) - [c6]Hyungseob Shin, Hyeongyu Kim, Sewon Kim, Yohan Jun, Taejoon Eo, Dosik Hwang:
SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation. CVPR 2023: 7412-7421 - [c5]Hyeongyu Kim, Byung Chan Choi, Haewoon Nam:
Use of Attention Mechanism for Decoder in Deep Learning-based Image Super Resolution. ICTC 2023: 1334-1337 - [c4]Hyeongyu Kim, Yejee Shin, Dosik Hwang:
Position-Encoded Pixel-to-Prototype Contrastive Learning for Aortic Vessel Tree Segmentation. SEG.A@MICCAI 2023: 55-66 - [c3]Hyeongyu Kim, Yejee Shin, Dosik Hwang:
DiMix: Disentangle-and-Mix Based Domain Generalizable Medical Image Segmentation. MICCAI (3) 2023: 242-251 - [i4]Hyungseob Shin, Hyeongyu Kim, Sewon Kim, Yohan Jun, Taejoon Eo, Dosik Hwang:
SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation. CoRR abs/2305.11012 (2023) - 2022
- [c2]Hyeongyu Kim, Jonghyun Kim, Joongkyu Kim:
Image-to-Image Translation for Near-Infrared Image Colorization. ICEIC 2022: 1-4 - [i3]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:
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. CoRR abs/2201.02831 (2022) - [i2]Hyungseob Shin, Hyeongyu Kim, Sewon Kim, Yohan Jun, Taejoon Eo, Dosik Hwang:
COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training. CoRR abs/2203.16557 (2022) - 2021
- [c1]Jonghyun Kim, Jiun Lee, Hyeongyu Kim, Wonjoon Song, Joongkyu Kim:
Rethinking Pixel-Wise Loss for Face Super-Resolution. ICEIC 2021: 1-4 - [i1]Hyungseob Shin, Hyeongyu Kim, Sewon Kim, Yohan Jun, Taejoon Eo, Dosik Hwang:
Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation. CoRR abs/2109.10674 (2021)
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