3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures. - Adria Casamitjana; Santi Puch; Asier Aduriz; Verónica Vilaplana (BrainLes@MICCAI, 2016)

Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling. - Santi Puch; Asier Aduriz; Adria Casamitjana; Verónica Vilaplana; Paula M. Petrone; Grégory Operto; Raffaele Cacciaglia; Stavros Skouras; Carles Falcón; José Luis Molinuevo; Juan Domingo Gispert (CoRR, 2016)

Global Planar Convolutions for Improved Context Aggregation in Brain Tumor Segmentation. - Santi Puch; Irina Sánchez; Aura Hernández; Gemma Piella; Vesna Prckovska (BrainLes@MICCAI (2), 2018)

Few-Shot Learning with Deep Triplet Networks for Brain Imaging Modality Recognition. - Santi Puch; Irina Sánchez; Matt Rowe (DART/MIL3ID@MICCAI, 2019)

NeAT: a Nonlinear Analysis Toolbox for Neuroimaging. - Adrià Casamitjana; Verónica Vilaplana; Santi Puch; Asier Aduriz; Carlos López; Grégory Operto; Raffaele Cacciaglia; Carles Falcón; José Luis Molinuevo; Juan Domingo Gispert (Neuroinformatics, 2020)

Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. - Chiara Maffei; Gabriel Girard; Kurt G. Schilling; Dogu Baran Aydogan; Nagesh Adluru; Andrey Zhylka; Ye Wu 001; Matteo Mancini; Andac Hamamci; Alessia Sarica; Achille Teillac; Steven H. Baete; et al. (NeuroImage, 2022)