PathTTT: Test-Time Training with Meta-auxiliary Learning for Pathology Image Classification

Haoyu He, Mahdi S. Hosseini, Yang Wang

Information Processing in Medical Imaging (IPMI 2025) – LNCS 15829

[LINK] [DOI]

LBMamba: Locally Bi-directional Mamba

Jingwei Zhang, Xi Han, Hong Qin, Mahdi S. Hosseini, Dimitris Samaras

Transactions on Machine Learning Research (TMLR 2025)

[LINK] [ARXIV] [CODE]

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

Vineet Sharma, Ahmed Alagha, Hamza Khellaf, Vincent Quoc-Huy Trinh, Mahdi S. Hosseini

6th International Conference on Deep Learning Theory and Applications (DeLTA 2025)

[LINK] [ARXIV] [DOI]

Ultrasound Image Generation using Latent Diffusion Models

Baptiste Freiche, Asma El-Khoury, Ali Nasiri-Sarvi, Mahdi S. Hosseini, Daniel Garcia, Adrian Basarab

Medical Imaging 2025: Ultrasonic Imaging, Tomography (SPIE Vol. 13412)

[LINK] [ARXIV] [CODE] [DOI]

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, Pattern Recognition (CVPR 2025)

[LINK] [ARXIV] [CODE] [DOI]

Efficient Self-Supervised Barlow Twins from Limited Tissue Slide Cohorts for Colonic Pathology Diagnostics

Charles Notton, Varun Sharma, Vincent Quoc-Huy Trinh, Liang Chen, Ming Xu, Sonal Varma, Mahdi S. Hosseini

Medical Image Analysis

[LINK] [ARXIV] [CODE]

Vision Mamba for Classification of Breast Ultrasound Images

Ali Nasiri-Sarvi, Mahdi S. Hosseini, Hassan Rivaz

Deep Breast Workshop on AI, Imaging for Diagnostic, Treatment Challenges in Breast Care (LNCS 15451)

[LINK] [ARXIV] [CODE] [DOI]

AdaFisher: Adaptive Second Order Optimization via Fisher Information

Daniel Martins Gomes, Yiming Zhang, Evgenii Beliakov, Guillaume Wolf, Mahdi S. Hosseini

International Conference on Learning Representations (ICLR 2025)

[LINK] [ARXIV] [CODE] [POSTER]

Computational Pathology: A Survey Review, the Way Forward

Mahdi S. Hosseini, Babak Ehteshami Bejnordi, Vincent Quoc-Huy Trinh, Lyndon Chan, Danial Hasan, Xiang Li, Shuo Yang, others

Journal of Pathology Informatics

[LINK] [ARXIV] [CODE] [DOI]

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, Pattern Recognition (CVPR 2024)

[LINK] [ARXIV] [CODE] [DOI]

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

arxiv:2507.05656

[LINK] [ARXIV]

SPARC: Concept-Aligned Sparse Autoencoders for Cross-Model, Cross-Modal Interpretability

Ali Nasiri-Sarvi, Hassan Rivaz, Mahdi S. Hosseini

arXiv:2507.06265

[ARXIV] [CODE]

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

arXiv:2411.15719

[ARXIV] [CODE]