Kwang-Hyun Uhm

Postdoc, Korea University

Assistant Professor, Gachon University

Joined

July 2025

Names

Kwang-Hyun Uhm (Preferred)

Emails

****@dali.korea.ac.kr (Confirmed)

****@gachon.ac.kr (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

Postdoc

Korea University (korea.ac.kr)

2022 – Present

Assistant Professor

Gachon University (gachon.ac.kr)

2025 – 2028

Advisors, Relations & Conflicts

PhD Advisor

Sung-Jea Ko

2015 – Present

Expertise

Medical Image synthesis

2022 – Present

Medical Image generation

2022 – Present

Medical Imaging

2020 – Present

Medical Image classification

2020 – Present

Medical Image segmentation

2020 – Present

Publications

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 2025
- Readers: Everyone
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
- CoRR 2025
- Readers: Everyone
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 et al. (43 additional authors not shown)
- CoRR 2025
- Readers: Everyone
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
- Readers: Everyone
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
- CoRR 2024
- Readers: Everyone
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
- Readers: Everyone
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
- CoRR 2023
- Readers: Everyone
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
- CoRR 2023
- Readers: Everyone
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
- KiTS@MICCAI 2023
- Readers: Everyone
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
- Readers: Everyone

View all 22 publications

Co-Authors

View all 112 co-authors