Trinh Thi Le Vuong

21 papers Journal 14Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Domain Generalization in Computational Pathology: Survey and Guidelines. ACM Comput. Surv. 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
2025	J	`jnl`	MoMA: Momentum contrastive learning with multi-head attention-based knowledge distillation for histopathology image analysis. Medical Image Anal. Trinh Thi Le Vuong, Jin Tae Kwak
2025	J	`jnl`	VideoPath-LLaVA: Pathology Diagnostic Reasoning Through Video Instruction Tuning. CoRR Trinh Thi Le Vuong, Jin Tae Kwak
2024	—	`conf`	FALFormer: Feature-Aware Landmarks Self-attention for Whole-Slide Image Classification. MICCAI (4) Doanh C. Bui, Trinh Thi Le Vuong, Jin Tae Kwak
2024	J	`jnl`	FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification. CoRR Doanh C. Bui, Trinh Thi Le Vuong, Jin Tae Kwak
2024	J	`jnl`	QuIIL at T3 challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View. CoRR Trinh Thi Le Vuong, Doanh C. Bui, Jin Tae Kwak
2024	—	`conf`	Towards a Text-Based Quantitative and Explainable Histopathology Image Analysis. MICCAI (4) Anh Tien Nguyen, Trinh Thi Le Vuong, Jin Tae Kwak
2024	J	`jnl`	Towards a text-based quantitative and explainable histopathology image analysis. CoRR Anh Tien Nguyen, Trinh Thi Le Vuong, Jin Tae Kwak
2023	—	`conf`	Boosting Knowledge Distillation via Random Fourier Features for Prostate Cancer Grading in Histopathology Images. DART@MICCAI Trinh Thi Le Vuong, Jin Tae Kwak
2023	J	`jnl`	CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
2023	J	`jnl`	Domain Generalization in Computational Pathology: Survey and Guidelines. CoRR 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
2023	J	`jnl`	MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis. CoRR Trinh Thi Le Vuong, Jin Tae Kwak
2023	J	`jnl`	Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images. Medical Image Anal. Syed Farhan Abbas, Trinh Thi Le Vuong, Kyungeun Kim, Boram Song, Jin Tae Kwak
2023	—	`conf`	QuIIL at T3 Challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View. BONBID-HIE@MICCAI Trinh Thi Le Vuong, Doanh C. Bui, Jin Tae Kwak
2023	—	`conf`	Quintet margin loss for an improved knowledge distillation in histopathology image analysis. Digital and Computational Pathology Trinh Thi Le Vuong, Jin Tae Kwak
2022	—	`conf`	IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification. ECCV Workshops (3) Trinh Thi Le Vuong, Quoc Dang Vu, Mostafa Jahanifar, Simon Graham, Jin Tae Kwak, Nasir M. Rajpoot
2022	J	`jnl`	IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification. CoRR Trinh Thi Le Vuong, Quoc Dang Vu, Mostafa Jahanifar, Simon Graham, Jin Tae Kwak, Nasir M. Rajpoot
2022	J	`jnl`	Multi-Scale Binary Pattern Encoding Network for Cancer Classification in Pathology Images. IEEE J. Biomed. Health Informatics Trinh Thi Le Vuong, Boram Song, Kyungeun Kim, Yong M. Cho, Jin Tae Kwak
2022	J	`jnl`	SONNET: A Self-Guided Ordinal Regression Neural Network for Segmentation and Classification of Nuclei in Large-Scale Multi-Tissue Histology Images. IEEE J. Biomed. Health Informatics Tan N. N. Doan, Boram Song, Trinh Thi Le Vuong, Kyungeun Kim, Jin Tae Kwak
2021	J	`jnl`	Joint categorical and ordinal learning for cancer grading in pathology images. Medical Image Anal. Trinh Thi Le Vuong, Kyungeun Kim, Boram Song, Jin Tae Kwak
2021	—	`conf`	Ranking Loss: A Ranking-Based Deep Neural Network for Colorectal Cancer Grading in Pathology Images. MICCAI (8) Trinh Thi Le Vuong, Kyungeun Kim, Boram Song, Jin Tae Kwak