Author

T. I. Jozsa

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· 3 Biophysics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:imaging· 3 Approach:experimental assay· 2 Organism:rat· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1

Frequent Co-Authors

S. J. Payne· 4 shared A. G. Hoekstra· 1 shared A.-E. van der Wijk· 1 shared E. van Bavel· 1 shared F. Barkhof· 1 shared H. J. Mutsaerts· 1 shared J. Petr· 1 shared R. M. Padmos· 1 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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4 shared papersBioengineering

S. J. Payne

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Author profile →

4 papers

Recent·Most cited

Parameter quantification for oxygen transport in the human brain

Y. Bing, T. I. Jozsa, S. J. Payne

This study quantifies oxygen transport parameters in the human brain using a multi-scale model and validates them against experimental data and anatomical structures.

bioRxiv · Apr 13, 2024Bioengineering

MRI-based computational model generation for cerebral perfusion simulations in health and ischaemic stroke

T. I. Jozsa, J. Petr, F. Barkhof, S. J. Payne, H. J. Mutsaerts

This paper develops a computational framework to generate cerebral perfusion models using MRI data for simulating cerebral blood flow in healthy and ischaemic stroke scenarios, showing strong correlations with anatomical and haemodynamic measurements.

bioRxiv · Sep 7, 2022 · PreprintBioengineering

Quantification of hypoxic regions distant from occlusions in cerebral penetrating arteriole trees

Y. Xue, T. Georgakopoulou, A.-E. van der Wijk, T. I. Jozsa, E. van Bavel, S. J. Payne

This study investigates how microvascular occlusions in cerebral arterioles cause distant hypoxia using rodent experiments and human vascular simulations.

bioRxiv · May 6, 2022Bioengineering

On the sensitivity analysis of porous finite element models for cerebral perfusion estimation

T. I. Jozsa, R. M. Padmos, W. K. El-Bouri, A. G. Hoekstra, S. J. Payne

This study evaluates a 3D porous cerebral perfusion model for stroke treatment, finding that coarse grids with first-order elements reliably estimate perfusion but higher-order elements are needed for accurate flow rate calculations.

bioRxiv · Feb 18, 2021Biophysics