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Mehdi Ounissi

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2020 – today

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2024
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  - journals/corr/abs-2407-00098
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  - https://dblp.org/rec/journals/corr/abs-2407-00098
Mehdi Ounissi, Ilias Sarbout, Jean-Pierre Hugot, Christine Martinez-Vinson, Dominique Berrebi, Daniel Racoceanu:
Scalable, Trustworthy Generative Model for Virtual Multi-Staining from H&E Whole Slide Images. CoRR abs/2407.00098 (2024)
2023
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  - journals/corr/abs-2302-08511
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Gabriel Jimenez, Anuradha Kar, Mehdi Ounissi, Léa Ingrassia, Susana Boluda, Benoit Delatour, Lev Stimmer, Daniel Racoceanu:
Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer's Disease using weakly annotated whole slide histopathological images. CoRR abs/2302.08511 (2023)
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  - journals/corr/abs-2304-13764
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Mehdi Ounissi, Morwena Latouche, Daniel Racoceanu:
Phagocytosis Unveiled: A Scalable and Interpretable Deep learning Framework for Neurodegenerative Disease Analysis. CoRR abs/2304.13764 (2023)
2022
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  - conf/miccai/JimenezKOIBDSR22
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Gabriel Jimenez, Anuradha Kar, Mehdi Ounissi, Léa Ingrassia, Susana Boluda, Benoit Delatour, Lev Stimmer, Daniel Racoceanu:
Visual Deep Learning-Based Explanation for Neuritic Plaques Segmentation in Alzheimer's Disease Using Weakly Annotated Whole Slide Histopathological Images. MICCAI (2) 2022: 336-344

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