Kwang-Hyun Uhm

According to our database, Kwang-Hyun Uhm authored at least 20 papers between 2016 and 2026.

Collaborative distances:

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

2026

An Anisotropic Cross-View Texture Transfer With Multi-Reference Non-Local Attention for CT Slice Interpolation.

Kwang-Hyun Uhm, Hyunjun Cho, Sung-Hoo Hong, Seung-Won Jung

IEEE Trans. Medical Imaging, January, 2026

2025

A Nuclei-Focused Strategy for Automated Histopathology Grading of Renal Cell Carcinoma.

Hyunjun Cho, Dongjin Shin, Kwang-Hyun Uhm, Sung-Jea Ko, Yosep Chong, Seung-Won Jung

IEEE J. Biomed. Health Informatics, September, 2025

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge.

Muhammad Imran, Jonathan R. Krebs, Vishal Balaji Sivaraman, Teng Zhang, Amarjeet Kumar, Walker R. Ueland, Michael J. Fassler, Jinlong Huang, Xiao Sun, Lisheng Wang, Pengcheng Shi, Maximilian Rokuss, Michael Baumgartner, Yannick Kirchhoff, Klaus H. Maier-Hein, Fabian Isensee, Shuolin Liu, Bing Han, Bong Thanh Nguyen, Dong-jin Shin, Park Ji-Woo, Mathew Choi, Kwang-Hyun Uhm, Sung-Jea Ko, Chanwoong Lee, Jaehee Chun, Jin Sung Kim, Minghui Zhang, Hanxiao Zhang, Xin You, Yun Gu, Zhaohong Pan, Xuan Liu, Xiaokun Liang, Markus Tiefenthaler, Enrique Almar-Munoz, Matthias Schwab, Mikhail Kotyushev, Rostislav Epifanov, Marek Wodzinski, Henning Müller, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Zhiwei Wang, Kaixiang Yang, Jintao Ren, Stine Sofia Korreman, Yuchong Gao, Hongye Zeng, Haoyu Zheng, Rui Zheng, Jinghua Yue, Fugen Zhou, Bo Liu, Alexander Cosman, Muxuan Liang, Chang Zhao, Gilbert R. Upchurch Jr., Jun Ma, Yuyin Zhou, Michol A. Cooper, Wei Shao

CoRR, February, 2025

Lesion Segmentation in Moderate to Severe Traumatic Brain Injury: An NnU-Net Based Approach with Adaptive Normalization in the AIMS-TBI 2025 Challenge.

Inhwa Son, Gaeun Lee, Sohyeon Sim, Kwang-Hyun Uhm

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

2024

Lesion-aware cross-phase attention network for renal tumor subtype classification on multi-phase CT scans.

Kwang-Hyun Uhm, Seung-Won Jung, Sung-Hoo Hong, Sung-Jea Ko

Comput. Biol. Medicine, 2024

U-Net-Based Segmentation of Aortic Branches and Zones in CTA Scans.

Bong Thanh Nguyen, Dongjin Shin, Park Ji-Woo, Matthew Choi, Kwang-Hyun Uhm, Sung-Jea Ko

Proceedings of the Multi-class Segmentation of the Aorta, 2024

2023

Multispectral-to-RGB Knowledge Distillation for Remote Sensing Image Scene Classification.

Hong-Kyu Shin, Kwang-Hyun Uhm, Seung-Won Jung, Sung-Jea Ko

IEEE Geosci. Remote. Sens. Lett., 2023

Exploring 3D U-Net Training Configurations and Post-processing Strategies for the MICCAI 2023 Kidney and Tumor Segmentation Challenge.

Kwang-Hyun Uhm, Hyunjun Cho, Zhixin Xu, Seohoon Lim, Seung-Won Jung, Sung-Hoo Hong, Sung-Jea Ko

Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, 2023

2022

A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis With Incomplete Data.

Kwang-Hyun Uhm, Seung-Won Jung, Moon Hyung Choi, Sung-Hoo Hong, Sung-Jea Ko

IEEE J. Biomed. Health Informatics, 2022

Graph Segmentation-Based Pseudo-Labeling for Semi-Supervised Pathology Image Classification.

Hong-Kyu Shin, Kwang-Hyun Uhm, Kyuyeon Choi, Zhixin Xu, Seung-Won Jung, Sung-Jea Ko

IEEE Access, 2022

2021

Image Compression-Aware Deep Camera ISP Network.

Kwang-Hyun Uhm, Kyuyeon Choi, Seung-Won Jung, Sung-Jea Ko

IEEE Access, 2021

2020

Improving the robustness of gaze tracking under unconstrained illumination conditions.

Kwang-Hyun Uhm, Mun-Cheon Kang, Joon-Yeon Kim, Sung-Jea Ko

Multim. Tools Appl., 2020

Parallel Feature Pyramid Network for Image Denoising.

Sung-Jin Cho, Kwang-Hyun Uhm, Seung-Wook Kim, Seo-Won Ji, Sung-Jea Ko

Proceedings of the 2020 IEEE International Conference on Consumer Electronics (ICCE), 2020

2019

W-Net: Two-Stage U-Net With Misaligned Data for Raw-to-RGB Mapping.

Kwang-Hyun Uhm, Seung-Wook Kim, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Sung-Jea Ko

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results.

Andrey Ignatov, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Yuzhi Zhao, Lai-Man Po, Radu Timofte, Tiantian Zhang, Zongbang Liao, Xiang Shi, Yujia Zhang, Weifeng Ou, Pengfei Xian, Jingjing Xiong, Chang Zhou, Wing Yin Yu, Yubin Yubin, Sung-Jea Ko, Bingxin Hou, Bumjun Park, Songhyun Yu, Sangmin Kim, Jechang Jeong, Seung-Wook Kim, Kwang-Hyun Uhm, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Kangfu Mei

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Learning an Object Detector Using Zoomed Object Regions.

Sung-Jin Cho, Seung-Wook Kim, Kwang-Hyun Uhm, Hyong-Keun Kook, Sung-Jea Ko

Proceedings of the International Conference on Electronics, Information, and Communication, 2019

Evaluating Parameterization Methods for Convolutional Neural Network (CNN)-Based Image Operators.

Seung-Wook Kim, Sung-Jin Cho, Kwang-Hyun Uhm, Seo-Won Ji, Sang-Won Lee, Sung-Jea Ko

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

A Robust Extrinsic Calibration Method for Non-Contact Gaze Tracking in the 3-D Space.

Mun-Cheon Kang, Cheol-Hwan Yoo, Kwang-Hyun Uhm, Dae-Hong Lee, Sung-Jea Ko

IEEE Access, 2018

2016

An edge-guided image interpolation method using Taylor series approximation.

Seung-Jun Lee, Mun-Cheon Kang, Kwang-Hyun Uhm, Sung-Jea Ko

IEEE Trans. Consumer Electron., 2016

A real-time second-order derivative-based image interpolation.

Kwang-Hyun Uhm, Seung-Jun Lee, Mun-Cheon Kang, Sung-Ho Chae, Sung-Jea Ko

Proceedings of the IEEE International Conference on Consumer Electronics, 2016