Santi Puch

Cross-vendor and cross-protocol harmonisation of diffusion MRI data: A comparative study

Jelle Veraart, Alexander Leemans, Samuel St-Jean, 2018 .

NeAT: a Nonlinear Analysis Toolbox for Neuroimaging

Verónica Vilaplana, Grégory Operto, Santi Puch, 2020, Neuroinformatics.

Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI

Erick Jorge Canales-Rodríguez, S. Haber, J. Thiran, 2021, NeuroImage.

Global Planar Convolutions for Improved Context Aggregation in Brain Tumor Segmentation pdf

Gemma Piella, Santi Puch, Aura Hernández, 2018, BrainLes@MICCAI.

Few-shot Learning with Deep Triplet Networks for Brain Imaging Modality Recognition

Santi Puch, Irina Sánchez, Matt Rowe, 2019, DART/MIL3ID@MICCAI.

Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling pdf

Verónica Vilaplana, Grégory Operto, Santi Puch, 2016, ArXiv.

3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures

Verónica Vilaplana, Santi Puch, Asier Aduriz, 2016, BrainLes@MICCAI.