Evaluating Robustness of Template Matching Algorithms as a Multi-objective Optimisation Problem. - José Bernal; María P. Trujillo; Ivan Cabezas (CIARP, 2014)

Transfer learning for classification of cardiovascular tissues in histological images. - Claudia Mazo; José Bernal; María P. Trujillo; Enrique Alegre (Comput. Methods Programs Biomed., 2018)

Survival prediction using ensemble tumor segmentation and transfer learning. - Mariano Cabezas; Sergi Valverde; Sandra González-Villà; Albert Clérigues; Mostafa Salem; Kaisar Kushibar; José Bernal; Arnau Oliver; Xavier Lladó (CoRR, 2018)

SUNet: a deep learning architecture for acute stroke lesion segmentation and outcome prediction in multimodal MRI. - Albert Clérigues; Sergi Valverde; José Bernal; Jordi Freixenet; Arnau Oliver; Xavier Lladó (CoRR, 2018)

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. - Spyridon Bakas; Mauricio Reyes 001; András Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; et al. (CoRR, 2018)

Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features. - Kaisar Kushibar; Sergi Valverde; Sandra González-Villà; José Bernal; Mariano Cabezas; Arnau Oliver; Xavier Lladó (Medical Image Anal., 2018)

Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease. - José Bernal; Maria del C. Valdés Hernández; Javier Escudero; Paul A. Armitage; Stephen D. Makin; Rhian M. Touyz; Joanna M. Wardlaw (MIUA, 2019)

Quantitative Analysis of Patch-Based Fully Convolutional Neural Networks for Tissue Segmentation on Brain Magnetic Resonance Imaging. - José Bernal; Kaisar Kushibar; Mariano Cabezas; Sergi Valverde; Arnau Oliver; Xavier Lladó (IEEE Access, 2019)

Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review. - José Bernal; Kaisar Kushibar; Daniel S. Asfaw; Sergi Valverde; Arnau Oliver; Robert Martí; Xavier Lladó (Artif. Intell. Medicine, 2019)

Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks. - Albert Clérigues; Sergi Valverde; José Bernal; Jordi Freixenet; Arnau Oliver; Xavier Lladó (Comput. Biol. Medicine, 2019)

A Framework for Jointly Assessing and Reducing Imaging Artefacts Automatically Using Texture Analysis and Total Variation Optimisation for Improving Perivascular Spaces Quantification in Brain Magnetic Resonance Imaging. - José Bernal; Maria del C. Valdés Hernández; Lucia Ballerini; Javier Escudero; Angela C. C. Jochems; Una Clancy; Fergus N. Doubal; Michael S. Stringer; Michael J. Thrippleton; Rhian M. Touyz; Joanna M. Wardlaw (MIUA, 2020)

Acute and sub-acute stroke lesion segmentation from multimodal MRI. - Albert Clérigues; Sergi Valverde; José Bernal; Jordi Freixenet; Arnau Oliver; Xavier Lladó (Comput. Methods Programs Biomed., 2020)

Examining the Relationship between Semiquantitative Methods Analysing Concentration-Time and Enhancement-Time Curves from Dynamic-Contrast Enhanced Magnetic Resonance Imaging and Cerebrovascular Dysfunction in Small Vessel Disease. - José Bernal; Maria del C. Valdés Hernández; Javier Escudero; Eleni Sakka; Paul A. Armitage; Stephen D. Makin; Rhian M. Touyz; Joanna M. Wardlaw (J. Imaging, 2020)

Deep learning for atrophy quantification in brain magnetic resonance imaging. - José Bernal (2020)

Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging. - José Bernal; William Xu; Maria del C. Valdés Hernández; Javier Escudero; Angela C. C. Jochems; Una Clancy; Fergus N. Doubal; Michael S. Stringer; Michael J. Thrippleton; Rhian M. Touyz; Joanna M. Wardlaw (MIUA, 2021)

A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage. - José Bernal; Maria del C. Valdés Hernández; Javier Escudero; Anna K. Heye; Eleni Sakka; Paul A. Armitage; Stephen D. Makin; Rhian M. Touyz; Joanna M. Wardlaw; Michael J. Thrippleton (NeuroImage, 2021)

Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors. - José Bernal; Sergi Valverde; Kaisar Kushibar; Mariano Cabezas; Arnau Oliver; Xavier Lladó (Neuroinformatics, 2021)

Gaussian Process-based prediction of memory performance and biomarker status in ageing and Alzheimer's disease - A systematic model evaluation. - Aditya Sai Ram Nemali; Niklas Vockert; David Berron; Anne Maaß; José Bernal; Renat Yakupov; O. Peters; D. Gref; Nicoleta Carmen Cosma; Lukas Preis; Josef Priller; Eike J. Spruth; et al. (Medical Image Anal., 2023)

Systematic review and meta-analysis of automated methods for quantifying enlarged perivascular spaces in the brain. - Jennifer M. J. Waymont; Maria del C. Valdés Hernández; José Bernal; Roberto Duarte Coello; Rosalind Brown; Francesca M. Chappell; Lucia Ballerini; Joanna M. Wardlaw (NeuroImage, 2024)