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Trinh Thi Le Vuong
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2020 – today
- 2025
- [j5]Trinh Thi Le Vuong
, Jin Tae Kwak
:
MoMA: Momentum contrastive learning with multi-head attention-based knowledge distillation for histopathology image analysis. Medical Image Anal. 101: 103421 (2025) - 2024
- [c7]Doanh C. Bui, Trinh Thi Le Vuong, Jin Tae Kwak:
FALFormer: Feature-Aware Landmarks Self-attention for Whole-Slide Image Classification. MICCAI (4) 2024: 123-132 - [c6]Anh Tien Nguyen, Trinh Thi Le Vuong, Jin Tae Kwak:
Towards a Text-Based Quantitative and Explainable Histopathology Image Analysis. MICCAI (4) 2024: 514-524 - [i7]Doanh C. Bui, Trinh Thi Le Vuong, Jin Tae Kwak:
FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification. CoRR abs/2407.07340 (2024) - [i6]Anh Tien Nguyen, Trinh Thi Le Vuong, Jin Tae Kwak:
Towards a text-based quantitative and explainable histopathology image analysis. CoRR abs/2407.07360 (2024) - [i5]Trinh Thi Le Vuong, Doanh C. Bui, Jin Tae Kwak:
QuIIL at T3 challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View. CoRR abs/2407.13216 (2024) - 2023
- [j4]Syed Farhan Abbas, Trinh Thi Le Vuong
, Kyungeun Kim
, Boram Song
, Jin Tae Kwak
:
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images. Medical Image Anal. 90: 102936 (2023) - [c5]Trinh Thi Le Vuong, Jin Tae Kwak:
Boosting Knowledge Distillation via Random Fourier Features for Prostate Cancer Grading in Histopathology Images. DART@MICCAI 2023: 73-83 - [c4]Trinh Thi Le Vuong, Doanh C. Bui, Jin Tae Kwak:
QuIIL at T3 Challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View. BONBID-HIE@MICCAI 2023: 82-93 - [c3]Trinh Thi Le Vuong, Jin Tae Kwak:
Quintet margin loss for an improved knowledge distillation in histopathology image analysis. Digital and Computational Pathology 2023 - [i4]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:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - [i3]Trinh Thi Le Vuong, Jin Tae Kwak:
MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis. CoRR abs/2308.16561 (2023) - [i2]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:
Domain Generalization in Computational Pathology: Survey and Guidelines. CoRR abs/2310.19656 (2023) - 2022
- [j3]Trinh Thi Le Vuong
, Boram Song
, Kyungeun Kim, Yong M. Cho, Jin Tae Kwak
:
Multi-Scale Binary Pattern Encoding Network for Cancer Classification in Pathology Images. IEEE J. Biomed. Health Informatics 26(3): 1152-1163 (2022) - [j2]Tan N. N. Doan, Boram Song
, Trinh Thi Le Vuong
, Kyungeun Kim, Jin Tae Kwak
:
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 26(7): 3218-3228 (2022) - [c2]Trinh Thi Le Vuong, Quoc Dang Vu, Mostafa Jahanifar, Simon Graham, Jin Tae Kwak, Nasir M. Rajpoot:
IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification. ECCV Workshops (3) 2022: 543-555 - [i1]Trinh Thi Le Vuong
, Quoc Dang Vu, Mostafa Jahanifar, Simon Graham, Jin Tae Kwak, Nasir M. Rajpoot:
IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification. CoRR abs/2208.11052 (2022) - 2021
- [j1]Trinh Thi Le Vuong
, Kyungeun Kim, Boram Song, Jin Tae Kwak:
Joint categorical and ordinal learning for cancer grading in pathology images. Medical Image Anal. 73: 102206 (2021) - [c1]Trinh Thi Le Vuong
, Kyungeun Kim, Boram Song, Jin Tae Kwak:
Ranking Loss: A Ranking-Based Deep Neural Network for Colorectal Cancer Grading in Pathology Images. MICCAI (8) 2021: 540-549
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last updated on 2025-01-27 00:46 CET by the dblp team
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