| 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 | 30 | 2019 |
| Correlation Tensor MRI deciphers underlying kurtosis sources in stroke R Alves, RN Henriques, L Kerkelä, C Chavarrías, SN Jespersen, ... Neuroimage 247, 118833, 2022 | 21 | 2022 |
| 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 | 19 | 2020 |
| 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 | 10 | 2020 |
| 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 | 8 | 2021 |
| 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 | 7 | 2022 |
| 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 | 5 | 2022 |
| 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 | 2 | 2019 |
| Microstructural parameter estimation using spherical convolutional neural networks L Kerkelä, K Seunarine, F Szczepankiewicz, CA Clark arXiv preprint arXiv:2211.09887, 2022 | 1* | 2022 |
| 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 | 1 | 2021 |
| 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 | | 2024 |
| Quantifying Brain Microstructure with Diffusion MRI: An Assessment of Microscopic Anisotropy Imaging L Kerkelä UCL (University College London), 2021 | | 2021 |
| High-resolution microstructural imaging in the human hippocampus with b-tensor encoding and zoomed imaging J Yoo, L Kerkelä, PW Hales, KK Seunarine, I Dragonu, E Kaden, CA Clark | | |
| Assessing scan-rescan reproducibility of surgically relevant white matter tractography reconstructions KYC Li, L Kerkelä, JD Clayden, KK Seunarine, MG Hall, CA Clark | | |
| Accuracy and precision of microscopy anisotropy estimation using q-space trajectory encoding-a model comparison study L Kerkelä, F Nery, FL Zhou, GJM Parker, F Szczepankiewicz, MG Hall, ... | | |
| High-resolution microscopic diffusion anisotropy imaging in the human hippocampus using multidimensional diffusion encoding J Yoo, L Kerkelä, PW Hales, KK Seunarine, NG Gyori, E Kaden, CA Clark | | |
| Precision of microscopic fractional anisotropy estimation using double diffusion encoding L Kerkelä, RN Henriques, M Hall, N Shemesh, C Clark | | |
