Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening P Chikontwe, M Luna, M Kang, KS Hong, JH Ahn, SH Park Medical Image Analysis 72, 102105, 2021 | 41 | 2021 |
Quantitative assessment of chest CT patterns in COVID-19 and bacterial pneumonia patients: a deep learning perspective M Kang, KS Hong, P Chikontwe, M Luna, JG Jang, J Park, KC Shin, ... Journal of Korean medical science 36 (5), 2021 | 22 | 2021 |
Machine Learning–Aided Chronic Kidney Disease Diagnosis Based on Ultrasound Imaging Integrated with Computer-Extracted Measurable Features S Lee, M Kang, K Byeon, SE Lee, IH Lee, YA Kim, SW Kang, JT Park Journal of Digital Imaging 35 (5), 1091-1100, 2022 | 12 | 2022 |
Structure-preserving image translation for multi-source medical image domain adaptation M Kang, P Chikontwe, D Won, M Luna, SH Park Pattern Recognition 144, 109840, 2023 | 11 | 2023 |
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection S Kim, S An, P Chikontwe, M Kang, E Adeli, KM Pohl, SH Park Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8591-8599, 2024 | 6 | 2024 |
FedNN: Federated learning on concept drift data using weight and adaptive group normalizations M Kang, S Kim, KH Jin, E Adeli, KM Pohl, SH Park Pattern Recognition 149, 110230, 2024 | 4 | 2024 |
One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation M Kang, P Chikontwe, S Kim, KH Jin, E Adeli, KM Pohl, SH Park International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 4 | 2023 |
Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets S Kim, H Park, M Kang, KH Jin, E Adeli, KM Pohl, SH Park Medical Image Analysis 95, 103156, 2024 | 3 | 2024 |
Video domain adaptation for semantic segmentation using perceptual consistency matching I Ullah, S An, M Kang, P Chikontwe, H Lee, J Choi, SH Park Neural Networks 179, 106505, 2024 | 2 | 2024 |
Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation M Kang, D Won, M Luna, P Chikontwe, KS Hong, JH Ahn, SH Park Neural Networks 166, 722-737, 2023 | 2 | 2023 |
Weakly-Supervised TILs Segmentation Based on Point Annotations Using Transfer Learning with Point Detector and Projected-Boundary Regressor S Nam, M Knag, D Won, P Chikontwe, BJ Noh, H Go, SH Park International Workshop on PRedictive Intelligence In MEdicine, 115-125, 2022 | 1 | 2022 |
Mixing-AdaSIN: Constructing a de-biased dataset using adaptive structural instance normalization and texture mixing M Kang, P Chikontwe, M Luna, KS Hong, JH Ahn, SH Park Predictive Intelligence in Medicine: 4th International Workshop, PRIME 2021 …, 2021 | 1 | 2021 |
Prediction of Axial Length From Macular Optical Coherence Tomography Using Deep Learning Model R Oh, M Kang, J Ahn, EK Lee, K Bae, UC Park, KH Park, CK Yoon Translational Vision Science & Technology 13 (9), 14-14, 2024 | | 2024 |
Unsupervised speckle noise reduction technique for clinical ultrasound imaging D Jung, M Kang, SH Park, N Guezzi, J Yu Ultrasonography 43 (5), 327, 2024 | | 2024 |
Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification S An, M Kang, S Kim, P Chikontwe, L Shen, SH Park arXiv preprint arXiv:2405.19346, 2024 | | 2024 |
Context-Guided Medical Visual Question Answering W Arsalane, P Chikontwe, M Luna, M Kang, SH Park MICCAI Student Board EMERGE Workshop: Empowering MEdical image computing …, 0 | | |