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)

Centroid-Aware Feature Recalibration for Cancer Grading in Pathology Images. - Jaeung Lee; Keunho Byeon; Jin Tae Kwak (MICCAI (2), 2023)

CAMP: Continuous and Adaptive Learning Model in Pathology. - Anh Tien Nguyen; Keunho Byeon; Kyungeun Kim; Boram Song; Seoung Wan Chae; Jin Tae Kwak (CoRR, 2024)

Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios. - Jeaung Lee; Jeewoo Lim; Keunho Byeon; Jin Tae Kwak (CoRR, 2024)

Lightweight Look-ahead Multi-context Vision Transformer. - Keunho Byeon; Jeewoo Lim; Jaeung Lee; Chiwon Han; SungYun Bay; Giho Park; Jin Tae Kwak (ICEIC, 2025)

Benchmarking pathology foundation models: Adaptation strategies and scenarios. - Jaeung Lee; Jeewoo Lim; Keunho Byeon; Jin Tae Kwak (Comput. Biol. Medicine, 2025)

DIOR-ViT: Differential ordinal learning Vision Transformer for cancer classification in pathology images. - Ju Cheon Lee; Keunho Byeon; Boram Song; Kyungeun Kim; Jin Tae Kwak (Medical Image Anal., 2025)

VLEER: Vision and Language Embeddings for Explainable Whole Slide Image Representation. - Anh Tien Nguyen; Keunho Byeon; Kyungeun Kim; Jin Tae Kwak (CoRR, 2025)