Segueix
Kwang-Hyun Uhm
Kwang-Hyun Uhm
Correu electrònic verificat a dali.korea.ac.kr
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Deep learning for end-to-end kidney cancer diagnosis on multi-phase abdominal computed tomography
KH Uhm, SW Jung, MH Choi, HK Shin, JI Yoo, SW Oh, JY Kim, HG Kim, ...
NPJ precision oncology 5 (1), 54, 2021
702021
Aim 2019 challenge on raw to rgb mapping: Methods and results
A Ignatov, R Timofte, SJ Ko, SW Kim, KH Uhm, SW Ji, SJ Cho, JP Hong, ...
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
412019
An edge-guided image interpolation method using Taylor series approximation
SJ Lee, MC Kang, KH Uhm, SJ Ko
IEEE Transactions on Consumer Electronics 62 (2), 159-165, 2016
222016
W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping
KH Uhm, SW Kim, SW Ji, SJ Cho, JP Hong, SJ Ko
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
192019
A robust extrinsic calibration method for non-contact gaze tracking in the 3-D space
MC Kang, CH Yoo, KH Uhm, DH Lee, SJ Ko
IEEE Access 6, 48840-48849, 2018
142018
Risk-aware survival time prediction from whole slide pathological images
Z Xu, S Lim, HK Shin, KH Uhm, Y Lu, SW Jung, SJ Ko
Scientific reports 12 (1), 21948, 2022
112022
A unified multi-phase CT synthesis and classification framework for kidney cancer diagnosis with incomplete data
KH Uhm, SW Jung, MH Choi, SH Hong, SJ Ko
IEEE Journal of Biomedical and Health Informatics 26 (12), 6093-6104, 2022
112022
Aim 2019 challenge on raw to rgb mapping: Methods and results. In 2019 IEEE
A Ignatov, R Timofte, SJ Ko, SW Kim, KH Uhm, SW Ji, SJ Cho, JP Hong, ...
CVF International Conference on Computer Vision Workshop (ICCVW), 3584-3590, 0
8
Exploring 3D U-Net Training Configurations and Post-processing Strategies for the MICCAI 2023 Kidney and Tumor Segmentation Challenge
KH Uhm, H Cho, Z Xu, S Lim, SW Jung, SH Hong, SJ Ko
International Challenge on Kidney and Kidney Tumor Segmentation, 8-13, 2023
62023
Image compression-aware deep camera ISP network
KH Uhm, K Choi, SW Jung, SJ Ko
IEEE Access 9, 137824-137832, 2021
62021
Improving the robustness of gaze tracking under unconstrained illumination conditions
KH Uhm, MC Kang, JY Kim, SJ Ko
Multimedia Tools and Applications 79, 20603-20616, 2020
62020
Evaluating Parameterization Methods for Convolutional Neural Network (CNN)-Based Image Operators
SW Kim, SJ Cho, KH Uhm, SW Ji, SW Lee, SJ Ko
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
42019
Lesion-aware cross-phase attention network for renal tumor subtype classification on multi-phase CT scans
KH Uhm, SW Jung, SH Hong, SJ Ko
Computers in Biology and Medicine 178, 108746, 2024
32024
3D Reconstruction Based on Multi-Phase CT for Kidney Cancer Surgery
KH Uhm, HK Shin, HJ Cho, SW Jung, SJ Ko
2023 International Technical Conference on Circuits/Systems, Computers, and …, 2023
32023
Graph segmentation-based pseudo-labeling for semi-supervised pathology image classification
HK Shin, KH Uhmn, K Choi, Z Xu, SW Jung, SJ Ko
IEEE Access 10, 93960-93970, 2022
32022
Multispectral-to-RGB Knowledge Distillation for Remote Sensing Image Scene Classification
HK Shin, KH Uhm, SW Jung, SJ Ko
IEEE Geoscience and Remote Sensing Letters 20, 1-5, 2023
22023
Learning an object detector using zoomed object regions
SJ Cho, SW Kim, KH Uhm, HK Kook, SJ Ko
2019 International Conference on Electronics, Information, and Communication …, 2019
12019
A real-time second-order derivative-based image interpolation
KH Uhm, SJ Lee, MC Kang, SH Chae, SJ Ko
2016 IEEE International Conference on Consumer Electronics (ICCE), 433-434, 2016
12016
Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge
M Imran, JR Krebs, VB Sivaraman, T Zhang, A Kumar, WR Ueland, ...
arXiv preprint arXiv:2502.05330, 2025
2025
3D Multi-Class Segmentation of Aortic Branches and Zones in CTA Using Convolutional Neural Networks
BN Thanh, JW Park, M Choi, SM Oh, SW Jo, KH Uhm, SJ Ko
2024 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 1-4, 2024
2024
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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