Author

Mark Zaidi

Institut des Maladies Génétiques ImagineORCID 0000-0002-9315-4062Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Research Focus:spatial domain detection· 2 Research Focus:cell type annotation· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Alice MétaisiD· 1 shared Bradly G. WoutersiD· 1 shared Damien Conrozier· 1 shared Dan CojocariiD· 1 shared Edor KabashiiD· 1 shared Estelle BalducciiD· 1 shared Francesco CarboneiD· 1 shared Fred FuiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperNeuroscience

Alice MétaisORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintNov 24, 2025

Multiplex imaging combined to machine learning enable automated profiling of cortical malformations applications in tuberous sclerosis complex

Reyes Castaño-Martín, Alice Métais, Francesco Carbone…·Sorana Ciura

This paper uses multiplex imaging and machine learning to profile cortical malformations in tuberous sclerosis complex, identifying key cell types and spatial patterns in lesions.

DOI 10.1101/2025.11.24.690101

humanimaging

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BioinformaticsFrontiers in Bioengineering and BiotechnologyPeer-reviewedDec 4, 2019

Quantitative Visualization of Hypoxia and Proliferation Gradients Within Histological Tissue Sections

Mark Zaidi, Fred Fu, Dan Cojocari…·Bradly G. Wouters

This paper introduces methods to quantify hypoxia and proliferation in tumor tissue sections by incorporating spatial information related to blood vessels.

47 citations

humanimaging

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