Kwang-Hyun Uhm

Kwang-Hyun Uhm

Korea University

H-index: 6

Asia-South Korea

About Kwang-Hyun Uhm

Kwang-Hyun Uhm, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Korea University, specializes in the field of Image Processing, Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

3D Reconstruction Based on Multi-Phase CT for Kidney Cancer Surgery

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

Risk-aware survival time prediction from whole slide pathological images

A unified multi-phase CT synthesis and classification framework for kidney cancer diagnosis with incomplete data

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

Image compression-aware deep camera ISP network

Deep learning for end-to-end kidney cancer diagnosis on multi-phase abdominal computed tomography

Kwang-Hyun Uhm Information

University

Position

___

Citations(all)

156

Citations(since 2020)

145

Cited By

37

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Kwang-Hyun Uhm Skills & Research Interests

Image Processing

Computer Vision

Top articles of Kwang-Hyun Uhm

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

2023/10/8

3D Reconstruction Based on Multi-Phase CT for Kidney Cancer Surgery

2023/6/25

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

IEEE Geoscience and Remote Sensing Letters

2023/2/14

Risk-aware survival time prediction from whole slide pathological images

Scientific reports

2022/12/19

A unified multi-phase CT synthesis and classification framework for kidney cancer diagnosis with incomplete data

IEEE Journal of Biomedical and Health Informatics

2022/11/3

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

IEEE Access

2022/9/5

Image compression-aware deep camera ISP network

IEEE Access

2021/9/29

Deep learning for end-to-end kidney cancer diagnosis on multi-phase abdominal computed tomography

NPJ precision oncology

2021/6/18

Improving the robustness of gaze tracking under unconstrained illumination conditions

Multimedia Tools and Applications

2020/8

Parallel Feature Pyramid Network for Image Denoising

2020/1/4

See List of Professors in Kwang-Hyun Uhm University(Korea University)