Author

Yousef Javanmardi

University College LondonORCID 0000-0002-7260-8395Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

Alexandre BellieriD· 2 shared Claire WalshiD· 2 shared Paul TafforeauiD· 2 shared Peter David LeeiD· 2 shared Yang ZhouiD· 2 shared Daniyal J. JafreeiD· 1 shared David Andrew LongiD· 1 shared David StansbyiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBioinformatics

Alexandre BellierORCID

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2 papers

Recent·Most cited

Multiscale Segmentation using Hierarchical Phase-contrast Tomography and Deep Learning

Yang Zhou, Shahab Aslani, Yousef Javanmardi, Joseph Brunet, David Stansby, Saskia Carroll, Alexandre Bellier, Maximilian Ackermann, Paul Tafforeau, Peter Lee, Claire Walsh

The paper develops a multiscale segmentation pipeline using HiP-CT and deep learning to identify glomeruli in human kidneys across different resolutions.

PLoS Computational Biology · Feb 2, 2026Peer-reviewedBioinformatics

A whole-organ multi-scale in silico framework for human kidney haemodynamics informed by hierarchical phase-contrast tomography

Yousef Javanmardi, Mengzhe Lyu, Yang Zhou, Yufei Wang, Claire Walsh, Paul Tafforeau, Daniyal J. Jafree, David Andrew Long, Alexandre Bellier, Ryo Torii, Peter David Lee

The paper develops an in silico framework to model human kidney haemodynamics using HiP-CT data, showing vascular geometry and resistance scaling influence kidney function.

bioRxiv · Dec 30, 2025 · PreprintBioengineering