Masked Feature Encoding for Large-Scale Whole Slide Image Representation

Haoyu He, Basile Tessier-Cloutier, Yang Wang, Mahdi S. Hosseini

Asian Conference on Computer Vision (ACCV 2026)

[ARXIV] [CODE] [DOI]

WSI-Lab: A Pathologist-Inspired, High-Throughput RL Environment for Sequential Whole-Slide Analysis

Ahmed Alagha, Hadi Otrok, Rabeb Mizouni, Jamal Bentahar, Mahdi S. Hosseini

NeurIPS Workshop 2026 Oral

[LINK]

Gated Spatial Redundancy Projection for Pathology Transformer Attentions

Zhiyuan Yang, Jiahao Cheng, Vincent Quoc-Huy Trinh, Mahdi S. Hosseini

British Machine Vision Conference (BMVC 2026) Oral

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

Simple Token-Efficient Vision-Language Model for Case-level Pathology Synoptic Report Generation

Zhiyuan Yang, Jiahao Cheng, Vincent Quoc-Huy Trinh, Mahdi S. Hosseini

International Conference on Deep Learning Theory and Applications (DeLTA 2026) Best Paper Award

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

MOOZY: A Patient-First Foundation Model for Computational Pathology

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

European Conference on Computer Vision (ECCV 2026)

[LINK] [ARXIV] [CODE] [HUGGINGFACE] [PYPI] [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

[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

Journal of Pathology Informatics

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

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

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

Transactions on Machine Learning Research (TMLR 2026)

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

Segment Any Crack: Deep Semantic Segmentation Adaptation for Crack Detection

Ghordsiyeh Rostami, Po-Han Chen, Mahdi S. Hosseini

Journal of Computing in Civil Engineering

[LINK] [ARXIV] [DOI]

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]

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] [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]

Deep Learning for Automated Crack Recognition: Insights, Challenges, and Future Directions

Ghodsiyeh Rostami, Po-Han Chen, Mahdi S. Hosseini

Proceedings of the International Symposium on Automation and Robotics in Construction (ISARC 2025)

[LINK] [DOI] [VIDEO]

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]

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] [DOI] [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 and Pattern Recognition Workshops (CVPR Workshop 2024)

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

Inspect Any Crack: An Automated End-to-End Crack Segmentation and Severity Assessment Framework

Ghodsiyeh Rostami, Po-Han Chen, Mahdi S. Hosseini

arXiv:2610.14274

[ARXIV] [DOI]

What Makes High-Magnification Knowledge Transferable? A Study of Cross-Resolution Distillation in Whole-Slide Imaging

Zhiyuan Yang, Jiahao Cheng, Mahdi S. Hosseini

arXiv:2609.36407

[ARXIV] [DOI]

Beyond the Hard Budget: Sparsity Regularizers for More Interpretable Top-k Sparse Autoencoders

Nathanaël Jacquier, Maria Vakalopoulou, Mahdi S. Hosseini

arXiv:2606.27321

[ARXIV] [DOI]

Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning

Ghodsiyeh Rostami, Po-Han Chen, Mahdi S. Hosseini

arXiv:2606.10196

[ARXIV] [CODE]

MonoLoss: A Training Objective for Interpretable Monosemantic Representations

Ali Nasiri-Sarvi, Anh Tien Nguyen, Hassan Rivaz, Dimitris Samaras, Mahdi S. Hosseini

arXiv:2602.12403

[ARXIV] [CODE]

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

arxiv:2602.03998

[LINK] [ARXIV] [CODE] [HUGGINGFACE] [PYPI]

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]