Walter Adame‐Gonzalez

This study validates and compares TSE and GRASE techniques for myelin water imaging in postmortem human brains, showing moderate to strong agreement between the sequences.

A 3D ResNet18 trained on synthetically misaligned T1w scans predicts residual affine parameters, correcting synthetic misalignments to 0.778 mm residual RMSE and flagging failed registrations better than RegQCNET or DARQ.

This study quantifies how formaldehyde fixation affects MRI metrics in postmortem human brains over time and provides a framework to correct for these effects.

This study compares the effects of three fixation solutions on neuronal quantification in mouse primary motor cortex, finding no significant differences between them.

RAVEN upsamples brain MRIs to higher resolution, preserving anatomical details across various modalities and field strengths.

This paper validates MRI brain volume measurements using ex vivo specimens and finds that SynthSeg provides accurate T1-weighted volumes compared to water displacement.

This paper introduces FONDUE, a deep learning method for denoising MRI images that works across varying resolutions and performs comparably to state-of-the-art methods.