Trinh Thi Le Vuong

According to our database, Trinh Thi Le Vuong authored at least 10 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., December, 2023

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

CoRR, 2023

MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis.

Trinh Thi Le Vuong, Jin Tae Kwak

CoRR, 2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.

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

CoRR, 2023

Boosting Knowledge Distillation via Random Fourier Features for Prostate Cancer Grading in Histopathology Images.

Trinh Thi Le Vuong, Jin Tae Kwak

Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023

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

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

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021