Mixing-AdaSIN: Constructing a De-biased Dataset Using Adaptive Structural Instance Normalization and Texture Mixing. - Myeongkyun Kang; Philip Chikontwe; Miguel Luna; Kyung Soo Hong; June Hong Ahn; Sang Hyun Park 004 (PRIME@MICCAI, 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)

Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening. - Philip Chikontwe; Miguel Luna; Myeongkyun Kang; Kyung Soo Hong; June Hong Ahn; Sang Hyun Park 004 (Medical Image Anal., 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)

Machine Learning-Aided Chronic Kidney Disease Diagnosis Based on Ultrasound Imaging Integrated with Computer-Extracted Measurable Features. - Sangmi Lee; Myeongkyun Kang; Keunho Byeon; Sang Eun Lee; In Ho Lee; Young Ah Kim; Shin-Wook Kang; Jung Tak Park (J. Digit. Imaging, 2022)

One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation. - Myeongkyun Kang; Philip Chikontwe; Soopil Kim; Kyong Hwan Jin; Ehsan Adeli-Mosabbeb; Kilian M. Pohl; Sanghyun Park 004 (MICCAI (2), 2023)

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)

Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. - Soopil Kim; Sion An; Philip Chikontwe; Myeongkyun Kang; Ehsan Adeli 001; Kilian M. Pohl; Sanghyun Park 004 (AAAI, 2024)

Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification. - Sion An; Myeongkyun Kang; Soopil Kim; Philip Chikontwe; Li Shen; Sang Hyun Park 004 (MICCAI (11), 2024)

Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification. - Philip Chikontwe; Myeongkyun Kang; Miguel Luna; Siwoo Nam; Sanghyun Park 004 (MICCAI (4), 2024)

Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets. - Soopil Kim; Heejung Park; Myeongkyun Kang; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sanghyun Park 004 (Medical Image Anal., 2024)

Video domain adaptation for semantic segmentation using perceptual consistency matching. - Ihsan Ullah 005; Sion An; Myeongkyun Kang; Philip Chikontwe; Hyunki Lee; Jinwoo Choi 001; Sanghyun Park 004 (Neural Networks, 2024)

FedNN: Federated learning on concept drift data using weight and adaptive group normalizations. - Myeongkyun Kang; Soopil Kim; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sanghyun Park 004 (Pattern Recognit., 2024)

Efficient one-shot federated learning on medical data using knowledge distillation with image synthesis and client model adaptation. - Myeongkyun Kang; Philip Chikontwe; Soopil Kim; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sanghyun Park 004 (Medical Image Anal., 2025)

Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image Synthesis. - Soopil Kim; Heejung Park; Philip Chikontwe; Myeongkyun Kang; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sang Hyun Park 004 (IEEE Trans. Medical Imaging, 2025)

Subject-adaptive meta-learning for personalized BCI: A fusion of resting-state EEG signal and task-specific information. - Sion An; Myeongkyun Kang; Soopil Kim; Philip Chikontwe; Li Shen; Sang Hyun Park 004 (Inf. Fusion, 2026)