Trinh Thi Le Vuong

Orcid: 0000-0002-0775-2884

According to our database1, Trinh Thi Le Vuong authored at least 14 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
2025
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7
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Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
MoMA: Momentum contrastive learning with multi-head attention-based knowledge distillation for histopathology image analysis.
Medical Image Anal., 2025

2024
Towards a Text-Based Quantitative and Explainable Histopathology Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

FALFormer: Feature-Aware Landmarks Self-attention for Whole-Slide Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images.
Medical Image Anal., December, 2023

Domain Generalization in Computational Pathology: Survey and Guidelines.
CoRR, 2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR, 2023

Quintet margin loss for an improved knowledge distillation in histopathology image analysis.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

Boosting Knowledge Distillation via Random Fourier Features for Prostate Cancer Grading in Histopathology Images.
Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023

QuIIL at T3 Challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View.
Proceedings of the AI for Brain Lesion Detection and Trauma Video Action Recognition, 2023

2022
Multi-Scale Binary Pattern Encoding Network for Cancer Classification in Pathology Images.
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.
IEEE J. Biomed. Health Informatics, 2022

IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Joint categorical and ordinal learning for cancer grading in pathology images.
Medical Image Anal., 2021

Ranking Loss: A Ranking-Based Deep Neural Network for Colorectal Cancer Grading in Pathology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021


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