João P. de Almeida Martins

Neural Networks for parameter estimation in microstructural MRI: a study with a high-dimensional diffusion-relaxation model of white matter microstructure

This study uses deep neural networks to accelerate parameter estimation in a high-dimensional diffusion-relaxation MRI model but finds that machine learning cannot replace careful acquisition protocol design.

Visualizing orientation-specific relaxation-diffusion features mapped onto orientation distribution functions estimated via nonparametric Monte Carlo MRI signal inversion

This paper introduces a method to estimate orientation-specific relaxation-diffusion features using nonparametric Monte Carlo MRI signal inversion, enabling detailed analysis of white matter microstructure.