Myeongkyun Kang

According to our database, Myeongkyun Kang authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection.

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

Myeongkyun Kang, Philip Chikontwe, Dong Kyu Won, Miguel Luna, Sang Hyun Park

Pattern Recognit., December, 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

Neural Networks, September, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

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

Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

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

Medical Image Anal., 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

CoRR, 2021

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

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021