Ranking Loss: A Ranking-Based Deep Neural Network for Colorectal Cancer Grading in Pathology Images. - Trinh Thi Le Vuong; Kyungeun Kim; Boram Song; Jin Tae Kwak (MICCAI (8), 2021)

Joint categorical and ordinal learning for cancer grading in pathology images. - Trinh Thi Le Vuong; Kyungeun Kim; Boram Song; Jin Tae Kwak (Medical Image Anal., 2021)

GradMix for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets. - Tan N. N. Doan; Kyungeun Kim; Boram Song; Jin Tae Kwak (MICCAI (2), 2022)

SONNET: A Self-Guided Ordinal Regression Neural Network for Segmentation and Classification of Nuclei in Large-Scale Multi-Tissue Histology Images. - Tan N. N. Doan; Boram Song; Trinh Thi Le Vuong; Kyungeun Kim; Jin Tae Kwak (IEEE J. Biomed. Health Informatics, 2022)

Multi-Scale Binary Pattern Encoding Network for Cancer Classification in Pathology Images. - Trinh Thi Le Vuong; Boram Song; Kyungeun Kim; Yong M. Cho; Jin Tae Kwak (IEEE J. Biomed. Health Informatics, 2022)

Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images. - Syed Farhan Abbas; Trinh Thi Le Vuong; Kyungeun Kim; Boram Song; Jin Tae Kwak (Medical Image Anal., 2023)

DAX-Net: A dual-branch dual-task adaptive cross-weight feature fusion network for robust multi-class cancer classification in pathology images. - Doanh C. Bui; Boram Song; Kyungeun Kim; Jin Tae Kwak (Comput. Methods Programs Biomed., 2024)

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)

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)

Spatially-Constrained and -Unconstrained Bi-Graph Interaction Network for Multi-Organ Pathology Image Classification. - Doanh C. Bui; Boram Song; Kyungeun Kim; Jin Tae Kwak (IEEE Trans. Medical Imaging, 2025)