Author

Mohammad Vaezi

University of RochesterORCID 0009-0006-4580-424XUnclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Mohammad Vaezi1 paper · Tehran University of Medical Sciences

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:imaging· 2 Approach:statistical model· 2 Organism:human· 1

Frequent Co-Authors

Douglas H. KelleyiD· 2 shared George Em KarniadakisiD· 2 shared Juan Diego ToscanoiD· 2 shared Kimberly A. StevensiD· 2 shared Yisen GuoiD· 2 shared Ryszard S. GomolkaiD· 1 shared Yuki MoriiD· 1 shared Zhibo WangiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 26 mutual co-author links

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2 shared papersNeuroscience

Douglas H. KelleyORCID

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2 papers

Recent·Most cited

NeuroscienceScience AdvancesPeer-reviewedMay 27, 2026

MR-AIV reveals in-vivo brain-wide fluid flow with physics-informed AI

Juan Diego Toscano, Yisen Guo, Zhibo Wang…·Douglas H. Kelley

This paper introduces MR-AIV, a physics-informed AI method to reconstruct brain-wide fluid velocity fields from MRI, revealing distinct transport mechanisms in health and disease.

2 citationstop 2%

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NeurosciencebioRxivPreprintApr 17, 2026

Robust MR-AIV: A Systematic Study of Robustness Improvement and Sensitivity Analysis of MR-AIV

Mohammad Vaezi, Juan Diego Toscano, Yisen Guo…·Kimberly A. Stevens

This paper improves and evaluates MR-AIV, a physics-informed neural network for inferring brain fluid dynamics from MRI, showing stable results across different modeling choices.

DOI 10.64898/2026.04.14.718498

imagingstatistical model

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