Publications

Selected contributions in computational pathology, biomedical imaging, explainable artificial intelligence and multimodal biomedical data analysis.

Google Scholar HAL PubMed ORCID DBLP Scopus Full Publication List (PDF)

Selected Recent Publications

AI-based Detection of Central Retinal Artery Occlusion within 4.5 Hours on Standard Fundus Photographs

Ayse Gungor, Ilias Sarbout, Aubrey Gilbert, Steffen Hamann, Pierre Lebranchu, Philippe Gohier, Catherine Vignal-Clermont, Oana M. Dumitrascu, Salomon-Yves Cohen, Wolf A. Lagrèze, Nicolas Feltgen, Frank van der Heide, Cédric Lamirel, John J. Chen, Jost B. Jonas, Michael Obadia, Daniel Racoceanu, Dan Milea. Journal of the American Heart Association, 2025, in press.

Medical AI Ophthalmology Fundus Imaging

From Histopathology Images to Molecular Characterisation of Tumours: The Artificial Intelligence Path

Vlad Popovici and Daniel Racoceanu. In Recent Advances in Histopathology, Vol. 27, Jaypee Brothers Medical Publishers, 2025.

HAL

Computational Pathology Molecular Characterisation AI

Prediction of Biochemical Prostate Cancer Recurrence from Any Gleason Score Using Robust Tissue Structure and Clinically Available Information

Laura E. Marin, Daniel I. Zavaleta-Guzman, Jessyca I. Gutierrez-Garcia, Daniel Racoceanu and Fanny L. Casado. Discover Oncology, 16, 128, 2025.

DOI PDF BibTeX

Prostate Cancer Digital Pathology Clinical Prediction

Scalable, Trustworthy Generative Model for Virtual Multi-Staining from H&E Whole Slide Image

Mehdi Ounissi, Ilias Sarbout, Jean-Pierre Hugot, Christine Martinez-Vinson, Dominique Berrebi and Daniel Racoceanu. arXiv:2407.00098, 2024.

DOI

Virtual Staining Generative AI Whole-Slide Imaging

PhagoStat: A Scalable and Interpretable End-to-End Framework for Efficient Quantification of Cell Phagocytosis in Neurodegenerative Disease Studies

Mehdi Ounissi, Morwena Latouche and Daniel Racoceanu. Scientific Reports, 14, 6482, 2024.

Paper PDF BibTeX

Interpretable AI Neurodegeneration Biomedical Imaging

Visual Deep Learning-Based Explanation for Neuritic Plaques Segmentation in Alzheimer’s Disease Using Weakly Annotated Whole Slide Histopathological Images

Gabriel Jimenez, Anuradha Kar, Mehdi Ounissi, Léa Ingrassia, Susana Boluda, Benoît Delatour, Lev Stimmer and Daniel Racoceanu. MICCAI, 2022.

Paper PDF BibTeX

MICCAI Alzheimer’s Disease Explainable AI

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women with Breast Cancer

CAMELYON16 Consortium including Daniel Racoceanu. JAMA, 318(22), 2199–2210, 2017.

Paper PDF BibTeX

JAMA Breast Cancer Digital Pathology

Full Publication List

For the complete and continuously updated publication record, please refer to ResearchGate, Google Scholar, HAL, PubMed, ORCID, DBLP and Scopus using the links above. This page highlights selected contributions most representative of my current research directions. An exhaustive list of the publications could also be fund here: Full Publication List (PDF)