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.IV2026

Protocol generalisation for brain tissue microstructure estimation via hypernetwork-controlled geometric deep learning

Andrea Brigliadori, Leevi Kerkela, Hui Zhang

Brain tissue microstructure estimation with machine learning provides higher computational efficiency than conventional fitting. However, machine learning still presents important…

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…