ESPCI web site
Reydet Juliette
PhD student
juliette.reydet@espci.fr
Research topic
Whole organ microflow imaging using multilens diffracting probe
Supervisor
Lastest publications
4989618
94NJIV78
reydet
1
national-institute-of-health-research
5
date
desc
7368
https://blog.espci.fr/physmed/wp-content/plugins/zotpress/
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1
Reydet J, Favre H, Dizeux A, Haidour N, Pernot M, Tanter M, et al. Human brain hemodynamics for 3D ultrasound localization microscopy benchmarking. Computers in Biology and Medicine 2026;200:111370. https://doi.org/10.1016/j.compbiomed.2025.111370.
1
Meki T, Pedreira O, Reydet J, Dizeux A, Papadacci C, Pernot M. In-vivo muscle characterization by 3D Elastic and Backscatter Tensor Imaging using a low channel count system. IEEE Trans Biomed Eng 2025;PP: https://doi.org/10.1109/TBME.2025.3630001.
1
Haidour N, Favre H, Mateo P, Reydet J, Bizé A, Sambin L, et al. Multi-lens ultrasound arrays enable large scale three-dimensional micro-vascularization characterization over whole organs. Nat Commun 2025;16:9317. https://doi.org/10.1038/s41467-025-64911-z.
