🏆 Challenge Awards & Achievements
MICCAI 2025 – UNICORN Lighthouse Challenge · 🥉 Top 3 Team Overall · Unified beNchmark for Imaging in COmputational pathology, Radiology and Natural language. Seong-Woo Jo, Kwang-Hyun Uhm.
MICCAI 2025 – AIMS-TBI Challenge · 🥈 2nd Place · Automated Identification of Mod-Sev TBI Lesions. Inhwa Son, Gaeun Lee, Sohyeon Sim, Kwang-Hyun Uhm.
MICCAI 2023 – KiTS23 Challenge · 🥈 2nd Place · The 2023 Kidney and Kidney Tumor Segmentation Challenge. Kwang-Hyun Uhm, Hyunjun Cho, Zhixin Xu, Seohoon Lim, Seung-Won Jung, Sung-Hoo Hong, Sung-Jea Ko. [pdf]
ICCV 2019 – AIM RAW-to-RGB Mapping Challenge · 🥇 1st Place in Track 1 (Fidelity) · 🥈 2nd Place in Track 2 (Perceptual) · AIM Workshop on Advances in Image Manipulation – Example-based RAW-to-RGB Mapping Challenge. Kwang-Hyun Uhm, Seung-Wook Kim, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Sung-Jea Ko. [pdf]
📚 Publications
Kwang-Hyun Uhm, Hyunjun Cho, Sung-Hoo Hong, Seung-Won Jung. An Anisotropic Cross-View Texture Transfer with Multi-Reference Non-Local Attention for CT Slice Interpolation. IEEE Transactions on Medical Imaging (TMI), 2025.
Hyunjun Cho, Dongjin Shin, Kwang-Hyun Uhm, Sung-Jea Ko, Yosep Chong, Seung-Won Jung. A Nuclei-Focused Strategy for Automated Histopathology Grading of Renal Cell Carcinoma, IEEE Journal of Biomedical and Health Informatics (JBHI), 2024.
Kwang-Hyun Uhm, Seung-Won Jung, Sung-Hoo Hong, Sung-Jea Ko. Lesion-aware cross-phase attention network for renal tumor subtype classification on multi-phase CT scans, Computers in Biology and Medicine, 2024.
Hong-Kyu Shin, Kwang-Hyun Uhm, Seung-Won Jung, Sung-Jea Ko. Multispectral-to-RGB knowledge distillation for remote sensing image scene classification, IEEE Geoscience and Remote Sensing Letters, 2023.
Zhixin Xu, Seohoon Lim, Hong-Kyu Shin, Kwang-Hyun Uhm, Yucheng Lu, Seung-Won Jung, Sung-Jea Ko. Risk-aware survival time prediction from whole slide pathological images, Scientific reports, 2022.
Kwang-Hyun Uhm, Seung-Won Jung, Moon Hyung Choi, Sung-Hoo Hong, Sung-Jea Ko. A unified multi-phase CT synthesis and classification framework for kidney cancer diagnosis with incomplete data, IEEE Journal of Biomedical and Health Informatics (JBHI), 2022.
Hong-Kyu Shin, Kwang-Hyun Uhm, Kyuyeon Choi, Zhixin Xu, Seung-Won Jung, Sung-Jea Ko. Graph segmentation-based pseudo-labeling for semi-supervised pathology image classification, IEEE Access, 2022.
Kwang-Hyun Uhm, Kyuyeon Choi, Seung-Won Jung, Sung-Jea Ko. Image compression-aware deep camera ISP network, IEEE Access, 2021.
Kwang-Hyun Uhm, Seung-Won Jung, Moon Hyung Choi, Hong-Kyu Shin, Jae-Ik Yoo, Se Won Oh, Jee Young Kim, Hyun Gi Kim, Young Joon Lee, Seo Yeon Youn, Sung-Hoo Hong, Sung-Jea Ko. Deep learning for end-to-end kidney cancer diagnosis on multi-phase abdominal computed tomography, NPJ precision oncology, 2021.
Kwang-Hyun Uhm, Mun-Cheon Kang, Joon-Yeon Kim, Sung-Jea Ko. Improving the robustness of gaze tracking under unconstrained illumination conditions, Multimedia Tools and Applications, 2020.
Andrey Ignatov, Radu Timofte, Sung-Jea Ko, Kwang-Hyun Uhm et al. Aim 2019 challenge on raw to rgb mapping: Methods and results, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019.
Kwang-Hyun Uhm, Seung-Wook Kim, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Sung-Jea Ko. W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019.
Seung-Wook Kim, Sung-Jin Cho, Kwang-Hyun Uhm, Seo-Won Ji, Sang-Won Lee, Sung-Jea Ko. Evaluating Parameterization Methods for Convolutional Neural Network (CNN)-Based Image Operators, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019.