Phagocytosis Unveiled: A Scalable and Interpretable Deep learning Framework for Neurodegenerative Disease Analysis

Mehdi Ounissi and Morwena Latouche and Daniel Racoceanu

MALMO: Mathematical approaches to modelling metabolic plasticity and heterogeneity in Melanoma

Janan Arslan, Ayse Gungor, Mehdi Ounissi, Pawan Kumar, Haocheng Luo, Matthieu Lacroix, Pierrick Dupré, Arran Hodgkinson, Christine Pignodel, Laurent Le Cam, Ovidiu Radulescu, and Daniel Racoceanu

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

STRATIFIAD: Refining Alzheimer Disease Patients’ stratification using explicable artificial intelligence in computational histopathology

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