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)

IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification. - Trinh Thi Le Vuong; Quoc Dang Vu; Mostafa Jahanifar; Simon Graham; Jin Tae Kwak; Nasir M. Rajpoot (ECCV Workshops (3), 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)

QuIIL at T3 Challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View. - Trinh Thi Le Vuong; Doanh C. Bui; Jin Tae Kwak (BONBID-HIE@MICCAI, 2023)

Boosting Knowledge Distillation via Random Fourier Features for Prostate Cancer Grading in Histopathology Images. - Trinh Thi Le Vuong; Jin Tae Kwak (DART@MICCAI, 2023)

Quintet margin loss for an improved knowledge distillation in histopathology image analysis. - Trinh Thi Le Vuong; Jin Tae Kwak (Digital and Computational Pathology, 2023)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

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)

FALFormer: Feature-Aware Landmarks Self-attention for Whole-Slide Image Classification. - Doanh C. Bui; Trinh Thi Le Vuong; Jin Tae Kwak (MICCAI (4), 2024)

Towards a Text-Based Quantitative and Explainable Histopathology Image Analysis. - Anh Tien Nguyen; Trinh Thi Le Vuong; Jin Tae Kwak (MICCAI (4), 2024)

MoMA: Momentum contrastive learning with multi-head attention-based knowledge distillation for histopathology image analysis. - Trinh Thi Le Vuong; Jin Tae Kwak (Medical Image Anal., 2025)

VideoPath-LLaVA: Pathology Diagnostic Reasoning Through Video Instruction Tuning. - Trinh Thi Le Vuong; Jin Tae Kwak (CoRR, 2025)

Domain Generalization in Computational Pathology: Survey and Guidelines. - Mostafa Jahanifar; Manahil Raza; Kesi Xu; Trinh Thi Le Vuong; Robert Jewsbury; Adam Shephard; Neda Zamanitajeddin; Jin Tae Kwak; Shan E Ahmed Raza; Fayyaz Minhas; Nasir M. Rajpoot (ACM Comput. Surv., 2025)