Low-Dose CT Denoising Using Octave Convolution with High and Low Frequency Bands. - Dong Kyu Won; Sion An; Sang Hyun Park 004; Dong Hye Ye (PRIME@MICCAI, 2020)

Low-Dose CT Denoising Using Pseudo-CT Image Pairs. - Dong Kyu Won; Euijin Jung; Sion An; Philip Chikontwe; Sang Hyun Park 004 (PRIME@MICCAI, 2021)

Self-Supervised Learning based CT Denoising using Pseudo-CT Image Pairs. - Dong Kyu Won; Euijin Jung; Sion An; Philip Chikontwe; Sang Hyun Park 004 (CoRR, 2021)

Data Generation using Texture Co-occurrence and Spatial Self-Similarity for Debiasing. - Myeongkyun Kang; Dong Kyu Won; Miguel Luna; Kyung Soo Hong; June Hong Ahn; Sang Hyun Park 004 (CoRR, 2021)

Weakly-Supervised TILs Segmentation Based on Point Annotations Using Transfer Learning with Point Detector and Projected-Boundary Regressor. - Siwoo Nam; Myeongkyun Kang; Dong Kyu Won; Philip Chikontwe; Byeong-Joo Noh; Heounjeong Go; Sanghyun Park 004 (PRIME@MICCAI, 2022)

Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation. - Myeongkyun Kang; Dong Kyu Won; Miguel Luna; Philip Chikontwe; Kyung Soo Hong; June Hong Ahn; Sanghyun Park 004 (Neural Networks, 2023)

Structure-preserving image translation for multi-source medical image domain adaptation. - Myeongkyun Kang; Philip Chikontwe; Dong Kyu Won; Miguel Luna; Sang Hyun Park 004 (Pattern Recognit., 2023)