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Mehdi Ounissi

3 papers hereh-index 332 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV3

identity via Semantic Scholar / OpenAlex

most citedVisual deep learning-based explanation for neuritic plaques segmentation in Alzheimer's Disease using weakly annotated whole slide histopathological images

3 citations · 7 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2024★ 1 cited

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

Mehdi Ounissi, Ilias Sarbout, Jean-Pierre Hugot +3

Chemical staining methods are dependable but require extensive time, expensive chemicals, and raise environmental concerns. These challenges highlight the need for alternative solu…

eess.IV2023★ 3 cited

PhagoStat a scalable and interpretable end to end framework for efficient quantification of cell phagocytosis in neurodegenerative disease studies

Mehdi Ounissi, Morwena Latouche, Daniel Racoceanu

Quantifying the phagocytosis of dynamic, unstained cells is essential for evaluating neurodegenerative diseases. However, measuring rapid cell interactions and distinguishing cells…

eess.IV2023★ 3 cited

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 +5

Quantifying the distribution and morphology of tau protein structures in brain tissues is key to diagnosing Alzheimer's Disease (AD) and its subtypes. Recently, deep learning (DL)…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.