Author

Badr Kaoui

Université de Technologie de CompiègneORCID 0000-0003-2478-3858Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Organism:human· 1 Assay:imaging· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

A. AmraniiD· 1 shared Huabing LiiD· 1 shared I. CaridiiD· 1 shared James W. BaishiD· 1 shared Lance L. MunniD· 1 shared Wenjie Lu· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 7 mutual co-author links

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1 shared paperBioengineering

A. AmraniORCID

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintDec 17, 2025

Efficient calculation of fluid transport in porous media with moving boundaries

Huabing Li, Wenjie Lu, Badr Kaoui…·Lance L. Munn

The paper introduces a hybrid model combining lattice Boltzmann and finite difference methods to efficiently simulate fluid transport in porous media with moving boundaries, showing a fourfold speed improvement.

DOI 10.64898/2025.12.15.694505

deep learningstatistical model

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BioengineeringbioRxivPreprintSep 18, 2025

Deep Learning Detection and Classification of Red Blood Cells: Towards a Universal Dataset

A. Amrani, I. Caridi, Badr Kaoui

This study evaluates YOLOv11 for detecting and classifying red blood cell morphologies using synthetic datasets to address data scarcity and cross-dataset bias.

DOI 10.1101/2025.09.18.677048

humanimaging

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