Evren Ozarslan, Ph.D.
Affiliations: | 2004 | University of Florida, Gainesville, Gainesville, FL, United States |
Area:
General Physics, Biomedical EngineeringGoogle:
"Evren Ozarslan"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Thomas H. Mareci | grad student | 2004 | UF Gainesville | |
| (Developments in diffusion weighted magnetic resonance imaging (MRI) with applications to neural tissue.) | ||||
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Publications
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| Witherspoon VJ, Komlosh ME, Benjamini D, et al. (2024) Novel pore size-controlled, susceptibility matched, 3D-printed MRI phantoms. Magnetic Resonance in Medicine |
| Boito D, Eklund A, Tisell A, et al. (2023) MRI with generalized diffusion encoding reveals damaged white matter in patients previously hospitalized for COVID-19 and with persisting symptoms at follow-up. Brain Communications. 5: fcad284 |
| Özarslan E, Yolcu C, Ordinola A, et al. (2023) Diffusion within pores fully revealed by magnetic resonance. The Journal of Chemical Physics. 158 |
| McGraw T, Vemuri B, Özarslan E, et al. (2023) VARIATIONAL DENOISING OF DIFFUSION WEIGHTED MRI. Inverse Problems and Imaging (Springfield, Mo.). 3: 625-648 |
| Afzali M, Pieciak T, Jones DK, et al. (2022) Cumulant expansion with localization: A new representation of the diffusion MRI signal. Frontiers in Neuroimaging. 1: 958680 |
| Li Z, Pang Z, Cheng J, et al. (2021) The direction-dependence of apparent water exchange rate in human white matter. Neuroimage. 247: 118831 |
| Afzali M, Knutsson H, Özarslan E, et al. (2021) Computing the orientational-average of diffusion-weighted MRI signals: a comparison of different techniques. Scientific Reports. 11: 14345 |
| De Luca A, Ianus A, Leemans A, et al. (2021) On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge. Neuroimage. 118367 |
| Herberthson M, Boito D, Haije TD, et al. (2021) . Neuroimage. 238: 118198 |
| Afzali M, Pieciak T, Newman S, et al. (2020) The sensitivity of diffusion MRI to microstructural properties and experimental factors. Journal of Neuroscience Methods. 108951 |