Vincent Quoc-Huy Trinh

According to our database, Vincent Quoc-Huy Trinh authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

MOOZY: A Patient-First Foundation Model for Computational Pathology.

Yousef Kotp, Vincent Quoc-Huy Trinh, Christopher Pal, Mahdi S. Hosseini

CoRR, March, 2026

AtlasPatch: Efficient Tissue Detection and High-throughput Patch Extraction for Computational Pathology at Scale.

Ahmed Alagha, Christopher Leclerc, Yousef Kotp, Omar Metwally, Calvin Moras, Peter Rentopoulos, Ghodsiyeh Rostami, Bich Ngoc Nguyen, Jumanah Baig, Abdelhakim Khellaf, Vincent Quoc-Huy Trinh, Rabeb Mizouni, Hadi Otrok, Jamal Bentahar, Mahdi S. Hosseini

CoRR, February, 2026

Efficient self-supervised Barlow Twins from limited tissue slide cohorts for colonic pathology diagnostics.

Cassandre Notton, Vasudev Sharma, Vincent Quoc-Huy Trinh, Lina Chen, Minqi Xu, Sonal Varma, Mahdi S. Hosseini

Medical Image Anal., 2026

2025

ADPv2: A Hierarchical Histological Tissue Type-Annotated Dataset for Potential Biomarker Discovery of Colorectal Disease.

Zhiyuan Yang, Kai Li, Sophia Ghamoshi Ramandi, Patricia Brassard, Hakim Khellaf, Vincent Quoc-Huy Trinh, Jennifer Zhang, Lina Chen, Corwyn Rowsell, Sonal Varma, Konstantinos N. Plataniotis, Mahdi S. Hosseini

CoRR, July, 2025

Atlas of Digital Pathology v2 - Part I.

Zhiyuan Yang, Kai Li, Sophia Ghamoshi Ramandi, Patricia Brassard, Hakim Khellaf, Vincent Quoc-Huy Trinh, Jennifer Zhang, Lina Chen, Corwyn Rowsell, Sonal Varma, Konstantinos N. Plataniotis, Mahdi S. Hosseini

Dataset, April, 2025

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design.

Vasudev Sharma, Ahmed Alagha, Abdelhakim Khellaf, Vincent Quoc-Huy Trinh, Mahdi S. Hosseini

Proceedings of the Deep Learning Theory and Applications - 6th International Conference, 2025

2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification.

Jingwei Zhang, Anh Tien Nguyen, Xi Han, Vincent Quoc-Huy Trinh, Hong Qin, Dimitris Samaras, Mahdi S. Hosseini

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Comparative Analysis of Diffusion Generative Models in Computational Pathology.

Denisha Thakkar, Vincent Quoc-Huy Trinh, Sonal Varma, Samira Ebrahimi Kahou, Hassan Rivaz, Mahdi S. Hosseini

CoRR, 2024

Vim4Path: Self-Supervised Vision Mamba for Histopathology Images.

Ali Nasiri-Sarvi, Vincent Quoc-Huy Trinh, Hassan Rivaz, Mahdi S. Hosseini

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Computational Pathology: A Survey Review and The Way Forward.

Mahdi S. Hosseini, Babak Ehteshami Bejnordi, Vincent Quoc-Huy Trinh, Danial Hasan, Xingwen Li, Taehyo Kim, Haochen Zhang, Theodore Wu, Kajanan Chinniah, Sina Maghsoudlou, Ryan Zhang, Stephen Yang, Jiadai Zhu, Lyndon Chan, Samir Khaki, Andrei Buin, Fatemeh Chaji, Ala Salehi, Alejandra Zambrano Luna, Bich Ngoc Nguyen, Dimitris Samaras, Konstantinos N. Plataniotis

CoRR, 2023