Hello, I'm Myeongkyun Kang

I am a Postdoctoral Research Fellow in the Department of Electrical and Computer Engineering at The University of British Columbia, supervised by Xiaoxiao Li. My research interests involve leveraging AI in the medical field to improve its robustness, reliability, and trustworthiness.

I received my Ph.D. from DGIST, where I conducted my research in the Medical Image & Signal Processing Lab, supervised by Sang Hyun Park. During my Ph.D., I was a visiting student researcher at Stanford University, supervised by Kilian M. Pohl and Ehsan Adeli.

Experience

The University of British Columbia

Vancouver, Canada

Postdoctoral Research Fellow, Department of Electrical and Computer EngineeringSep. 2025 – Present

Lab: Trusted and Efficient AI Lab

Supervisor: Xiaoxiao Li

Education

Daegu Gyeongbuk Institute of Science and Technology (DGIST)

Daegu, Republic of Korea

Ph.D. in Robotics and Mechatronics EngineeringMar. 2020 – Aug. 2025

Thesis: Reliable Representation Learning for Multi-Institutional Medical Image Analysis

Lab: Medical Image & Signal Processing Lab

Supervisor: Sang Hyun Park

Stanford University

Stanford, USA

Visiting Student Researcher, Department of Psychiatry and Behavioral SciencesApr. 2023 – Sep. 2023

Lab: Computational Neuroscience Laboratory

Supervisors: Kilian M. Pohl & Ehsan Adeli

Publications

^* Equal contribution · Full list on Google Scholar

LoFi: Location-Aware Fine-Grained Representation Learning for Chest X-ray

Myeongkyun Kang, Yanting Yang, Xiaoxiao Li

MICCAI 2026

Project Paper Code

A robust vision language model for molecular status prediction and radiology report generation in adult-type diffuse gliomas

Yae Won Park^*, Myeongkyun Kang^*, Huiseung Ryu, Kyunghwa Han, Yongsik Sim, Ji Eun Park, Jong Hee Chang, Se Hoon Kim, Seung-Koo Lee, Sang Hyun Park, Sung Soo Ahn

npj Digital Medicine, 2026

Paper Code

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

Information Fusion, 2026

Paper

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, Kilian M. Pohl, Sang Hyun Park

Medical Image Analysis, 2025

Paper Code

Revisiting Masked Image Modeling with Standardized Color Space for Domain Generalized Fundus Photography Classification

Eojin Jang^*, Myeongkyun Kang^*, Soopil Kim, Min Sagong, Sang Hyun Park

MICCAI 2025

Paper

Pre-to-Post Operative MRI Generation with Retrieval-based Visual In-Context Learning

Bogyeong Kang, Sang-Jun Park, Minjoo Lim, Myeongkyun Kang, Keun-Soo Heo, Ji-Hye Oh, Hyun Jung Lee, Tae-Eui Kam

MICCAI 2025

Paper

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, Kilian M. Pohl, Sang Hyun Park

IEEE Transactions on Medical Imaging, 2025

Paper

Target-aware cross-modality unsupervised domain adaptation for vestibular schwannoma and cochlea segmentation

Bogyeong Kang, Hyeonyeong Nam, Myeongkyun Kang, Keun-Soo Heo, Minjoo Lim, Ji-Hye Oh, Tae-Eui Kam

Scientific Reports, 2024

Paper

Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification

Philip Chikontwe, Myeongkyun Kang, Miguel Luna, Siwoo Nam, Sang Hyun Park

MICCAI 2024

Paper

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

MICCAI 2024

Paper

Video domain adaptation for semantic segmentation using perceptual consistency matching

Ihsan Ullah, Sion An, Myeongkyun Kang, Philip Chikontwe, Hyunki Lee, Jinwoo Choi, Sang Hyun Park

Neural Networks, 2024

Paper

Unsupervised speckle noise reduction technique for clinical ultrasound imaging

Dongkyu Jung, Myeongkyun Kang, Sang Hyun Park, Nizar Guezzi, Jaesok Yu

Ultrasonography, 2024

Paper

Prediction of Axial Length From Macular Optical Coherence Tomography Using Deep Learning Model

Richul Oh, Myeongkyun Kang, Jeeyun Ahn, Eun Kyoung Lee, Kunho Bae, Un Chul Park, Kyu Hyung Park, Chang Ki Yoon

Translational Vision Science & Technology, 2024

Paper

Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets

Soopil Kim^*, Heejung Park^*, Myeongkyun Kang, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sang Hyun Park

Medical Image Analysis, 2024

Paper

Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection

Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sang Hyun Park

AAAI 2024

Paper

FedNN: Federated learning on concept drift data using weight and adaptive group normalizations

Myeongkyun Kang, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sang Hyun Park

Pattern Recognition, 2024

Paper Code

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, Kilian M. Pohl, Sang Hyun Park

MICCAI 2023

Paper Code

Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation

Myeongkyun Kang, Dongkyu Won, Miguel Luna, Philip Chikontwe, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park

Neural Networks, 2023

Paper Code

Structure-preserving image translation for multi-source medical image domain adaptation

Myeongkyun Kang, Philip Chikontwe, Dongkyu Won, Miguel Luna, Sang Hyun Park

Pattern Recognition, 2023

Paper

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

Journal of Digital Imaging, 2022

Paper

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

Medical Image Analysis, 2021

Paper

Quantitative Assessment of Chest CT Patterns in COVID-19 and Bacterial Pneumonia Patients: a Deep Learning Perspective

Myeongkyun Kang^*, Kyung Soo Hong^*, Philip Chikontwe, Miguel Luna, Jong Geol Jang, Jongsoo Park, Kyeong-Cheol Shin, Sang Hyun Park, June Hong Ahn

Journal of Korean Medical Science, 2021

Paper