Generating BlobCell Label from Weak Annotations for Precise Cell Segmentation. - Suk Min Ha; Young Sin Ko; Youngjin Park (GRAIL/OCELOT@MICCAI, 2023)

Leveraging Spatial Relationships in Microscopic Images for Patient Cancer Diagnosis. - Jongwoo Kim; Min Kyu Jeong; Hyeongmin Park; Young Sin Ko; Mun Yong Yi (ISBI, 2024)

Automatic Tumor Cellularity Measurement: AI-Based Pipeline for Multi-Organ Pathology Imaging. - Suk Min Ha; Young Sin Ko; Youngjin Park (MIE, 2024)

WISE: Efficient WSI selection for active learning in histopathology. - Hyeongu Kang; Mujin Kim; Young Sin Ko; Yesung Cho; Mun Yong Yi (Comput. Medical Imaging Graph., 2024)

MicroMIL: Graph-based Contextual Multiple Instance Learning for Patient Diagnosis Using Microscopy Images. - Jongwoo Kim; Bryan Wong; Young Sin Ko; Mun Yong Yi (CoRR, 2024)

A predicted-loss based active learning approach for robust cancer pathology image analysis in the workplace. - Mujin Kim; Willmer Rafell Quiñones Robles; Young Sin Ko; Bryan Wong; Sol Lee; Mun Yong Yi (BMC Medical Imaging, 2024)

Towards Classifying Histopathological Microscope Images as Time Series Data. - Sungrae Hong; Hyeongmin Park; Young Sin Ko; Sol Lee; Bryan Wong; Mun Yong Yi (ISBI, 2025)

Spatial Context-Driven Positive Pair Sampling for Enhanced Histopathology Image Classification. - Willmer Rafell Quiñones Robles; Sakonporn Noree; Young Sin Ko; Bryan Wong; Jongwoo Kim; Mun Yong Yi (CoRR, 2025)

Learned Image Compression and Restoration for Digital Pathology. - Seonyeong Lee; EonSeung Seong; DongEon Lee; SiYeoul Lee; Yubin Cho; Chunsu Park; Seonho Kim; Minkyung Seo; Young Sin Ko; MinWoo Kim (CoRR, 2025)

Leveraging commonality across multiple tissue slices for enhanced whole slide image classification using graph convolutional networks. - Sakonporn Noree; Willmer Rafell Quiñones Robles; Young Sin Ko; Mun Yong Yi (BMC Medical Imaging, 2025)