Myeongkyun Kang
Orcid: 0000-0002-9165-870X
According to our database1,
Myeongkyun Kang
authored at least 14 papers
between 2021 and 2024.
Collaborative distances:
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Bibliography
2024
FedNN: Federated learning on concept drift data using weight and adaptive group normalizations.
Pattern Recognit., 2024
Video domain adaptation for semantic segmentation using perceptual consistency matching.
Neural Networks, 2024
Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets.
Medical Image Anal., 2024
Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Structure-preserving image translation for multi-source medical image domain adaptation.
Pattern Recognit., December, 2023
Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation.
Neural Networks, September, 2023
One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation.
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.
J. Digit. Imaging, 2022
Weakly-Supervised TILs Segmentation Based on Point Annotations Using Transfer Learning with Point Detector and Projected-Boundary Regressor.
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.
Medical Image Anal., 2021
Data Generation using Texture Co-occurrence and Spatial Self-Similarity for Debiasing.
CoRR, 2021
Mixing-AdaSIN: Constructing a De-biased Dataset Using Adaptive Structural Instance Normalization and Texture Mixing.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021