J.P Manzano-Patron

The paper integrates 3D light-sheet microscopy with diffusion MRI to predict cellular features from MRI data across multiple mouse strains.

The paper develops an offline dMRI reconstruction pipeline and compares PCA-based and AI-based denoising methods on high-resolution dMRI data.

This paper introduces an SBI framework for diffusion MRI analysis, showing it provides fast and accurate parameter estimation and uncertainty mapping compared to classical Bayesian methods.

Precon_all is a pipeline for non-human cortical surface reconstruction that generalizes human methods to multiple species, enabling comparative neuroimaging studies.

This paper evaluates dMRI denoising methods by defining performance criteria and comparing patch-based algorithms in complex and magnitude domains.

This paper creates a common space for comparing pig and human structural connectomes to assess the translational validity of porcine neurological disease models.