Author

Lassaad Latrach

National School of Computer Science

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Biology Disciplines

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Bioengineering· 1

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Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:imaging· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Jaouhar FattahiiD· 1 shared Mohamed Amine Mezghich· 1 shared Nader BelhadjiD· 1 shared Ridha GhayoulaiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioengineering

Jaouhar FattahiORCID

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1 paper

Recent·Most cited

A graph-based deep learning framework for diabetic retinopathy classification with topology-aware feature augmentation

Nader Belhadj, Mohamed Amine Mezghich, Jaouhar Fattahi, Ridha Ghayoula, Lassaad Latrach

This paper introduces a graph-based deep learning framework for diabetic retinopathy classification that incorporates topological features and relational graph learning, achieving higher accuracy than standard CNNs.

bioRxiv · Mar 23, 2026 · PreprintBioengineering