Author

J.-P. Thiran

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Biophysics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 3 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Organism:mouse· 1 Assay:multiome· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

A. Mukherjee· 1 shared E. J. Canales-Rodriguez· 1 shared F. Gibou· 1 shared J. A. Baerentzen· 1 shared J. Rafael-Patino· 1 shared J. Wan· 1 shared M. Amirrashedi· 1 shared M. Andersson· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperBioengineering

A. Mukherjee

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Author profile →

3 papers

Recent·Most cited

PhyMorphS: A Physics-Guided Framework for Mesh-Based Morphological Synthesis of White Matter Microstructures

R. Cui, M. Amirrashedi, M. Corral-Bolanos, J.-P. Thiran, J. A. Baerentzen, Tim B. Dyrby

PhyMorphS generates realistic white matter microstructures using physics-guided mesh growth, reproducing key morphological features and enabling dMRI signal studies.

bioRxiv · Nov 10, 2026 · PreprintNeuroscience

Molecular imaging with aquaporin-based reporter genes: quantitative considerations from Monte Carlo diffusion simulations

R. Chowdhury, J. Wan, R. M. M. Gardier, J. Rafael-Patino, J.-P. Thiran, F. Gibou, A. Mukherjee

The paper develops a Monte Carlo model to quantify aquaporin-based imaging signals and demonstrates a method to improve specificity by analyzing time-dependent diffusivity changes.

bioRxiv · Jun 9, 2023Bioengineering

Axonal T2 estimation using the spherical variance of the strongly diffusion-weighted MRI signal

M. Pizzolato, M. Andersson, E. J. Canales-Rodriguez, J.-P. Thiran, T. B. Dyrby

This paper introduces a method to estimate axonal T2 using spherical variance of strongly diffusion-weighted MRI signals, showing it is less affected by isotropic contributions compared to spherical mean.

bioRxiv · Aug 19, 2021Biophysics