most citedImproved reproducibility of diffusion kurtosis imaging using regularized non-linear optimization informed by artificial neural networks

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2022

Spherical convolutional neural networks can improve brain microstructure estimation from diffusion MRI data

Leevi Kerkelä, Kiran Seunarine, Filip Szczepankiewicz +1

Diffusion magnetic resonance imaging is sensitive to the microstructural properties of brain tissue. However, estimating clinically and scientifically relevant microstructural prop…

physics.med-ph2022★ 4 cited

Improved reproducibility of diffusion kurtosis imaging using regularized non-linear optimization informed by artificial neural networks

Leevi Kerkelä, Kiran Seunarine, Rafael Neto Henriques +2

Diffusion kurtosis imaging is an extension of diffusion tensor imaging that provides scientifically and clinically valuable information about brain tissue microstructure but suffer…