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Leevi Kerkelä
Leevi Kerkelä
Verified email at ucl.ac.uk
Title
Cited by
Cited by
Year
In vivo demonstration of microscopic anisotropy in the human kidney using multidimensional diffusion MRI
F Nery, F Szczepankiewicz, L Kerkelä, MG Hall, E Kaden, I Gordon, ...
Magnetic resonance in medicine 82 (6), 2160-2168, 2019
442019
Correlation Tensor MRI deciphers underlying kurtosis sources in stroke
R Alves, RN Henriques, L Kerkelä, C Chavarrías, SN Jespersen, ...
Neuroimage 247, 118833, 2022
372022
Validation and noise robustness assessment of microscopic anisotropy estimation with clinically feasible double diffusion encoding MRI
L Kerkelä, RN Henriques, MG Hall, CA Clark, N Shemesh
Magnetic Resonance in Medicine 83 (5), 1698-1710, 2020
232020
Disimpy: A massively parallel Monte Carlo simulator for generating diffusion-weighted MRI data in Python
L Kerkelä, F Nery, MG Hall, CA Clark
Journal of Open Source Software 5 (52), 2527, 2020
182020
Human brain changes after first psilocybin use
T Lyons, M Spriggs, L Kerkelä, FE Rosas, L Roseman, PAM Mediano, ...
BiorXiv, 2024.10. 11.617955, 2024
142024
Comparative analysis of signal models for microscopic fractional anisotropy estimation using q-space trajectory encoding
L Kerkelä, F Nery, R Callaghan, F Zhou, NG Gyori, F Szczepankiewicz, ...
NeuroImage, 118445, 2021
132021
Improved reproducibility of diffusion kurtosis imaging using regularized non-linear optimization informed by artificial neural networks
L Kerkelä, K Seunarine, RN Henriques, JD Clayden, CA Clark
arXiv preprint arXiv:2203.07327, 2022
72022
High‐resolution microscopic diffusion anisotropy imaging in the human hippocampus at 3T
J Yoo, L Kerkelä, PW Hales, KK Seunarine, CA Clark
Magnetic Resonance in Medicine 87 (4), 1903-1913, 2022
62022
Spherical convolutional neural networks can improve brain microstructure estimation from diffusion MRI data
L Kerkelä, K Seunarine, F Szczepankiewicz, CA Clark
Frontiers in Neuroimaging 3, 1349415, 2024
42024
Unraveling micro-architectural modulations in neural tissue upon ischemia by Correlation Tensor MRI
R Alves, RN Henriques, L Kerkelä, C Chavarrías, SN Jespersen, ...
bioRxiv, 2021.02. 20.432088, 2021
22021
Experimental validation and SNR analysis of a clinical double diffusion encoding sequence
L Kerkelä, RN Henriques, M Hall, C Clark, N Shemesh
Proc. Intl. Soc. Mag. Reson. Med. 27 (2019) 3557, 2019
22019
Microstructural parameter estimation using spherical convolutional neural networks
L Kerkelä, K Seunarine, F Szczepankiewicz, CA Clark
arXiv preprint arXiv:2211.09887, 2022
1*2022
616PBrain volumetrics, diffusion and perfusion do not differ between men with Becker muscular dystrophy and healthy controls
R Govaarts, K Seunarine, L Kerkelä, MG Stemmerik, AW Slipsager, ...
Neuromuscular Disorders 53, 106150, 2025
2025
270PIndividuals with Duchenne muscular dystrophy have lower brain volumes, altered white matter microstructure and lower perfusion compared to controls
R Govaarts, K Seunarine, GF Lopez, I Guliaeva, L Smyth, L Kerkelä, ...
Neuromuscular Disorders 53, 105904, 2025
2025
Example dataset of tensor-valued diffusion encoding MRI in the human brain
L Kerkelä
Zenodo. https://doi.org/10.5281/zenodo.14479946, 2024
2024
304P Multi-modal magnetic resonance imaging protocols in the multi-site brain involvement in dystrophinopathies (BIND) study
R Govaarts, N Doorenweerd, C Brogna, C Clark, I Guliaeva, ...
Neuromuscular Disorders 43, 104441.499, 2024
2024
Quantifying Brain Microstructure with Diffusion MRI: An Assessment of Microscopic Anisotropy Imaging
L Kerkelä
UCL (University College London), 2021
2021
Examining ‘neural soma’compartments in paediatric epilepsy to support focal cortical dysplasia lesion detection
YJ Li, E De Vita, F D'Arco, T Banks, K Seunarine, M Ripart, K Wagstyl, ...
Placental blood-flow velocity quantification from diffusion MRI
ZJ Yang, DMC de Oliveira, L Kerkelä, M Palombo, E Powell, CS Parker, ...
Investigating the potential of tensor-valued diffusion encoding to detect and characterise Focal Cortical Dysplasia in paediatric epilepsy
YJ Li, L Kerkelä, F D'Arco, K Seunarine, T Banks, F Szczepankiewicz, ...
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Articles 1–20