José Bernal

According to our database, José Bernal authored at least 19 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

2023

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, S. Altenstein, A. Lohse, K. Fliessbach, O. Kimmich, I. Vogt, Jens Wiltfang, N. Hansen, Claudia Bartels, B. H. Schott, Franziska Maier, D. Meiberth, Wenzel Glanz, Enise Incesoy, Michaela Butryn, Katharina Buerger, D. Janowitz, R. Pernecky, Boris-Stephan Rauchmann, L. Burow, Stefan Teipel, Ingo Kilimann, Doreen Görß, Martin Dyrba, C. Laske, Matthias H. Munk, C. Sanzenbacher, S. Müller, Annika Spottke, N. Roy, Michael T. Heneka, Frederic Brosseron, Sandra Roeske, L. Dobisch, Alfredo Ramirez, M. Ewers, P. Dechent, Klaus Scheffler, L. Kleineidam, S. Wolfsgruber, Michael Wagner, Frank Jessen, Emrah Düzel, G. Ziegler

Medical Image Anal., December, 2023

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

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

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

Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

2020

Deep learning for atrophy quantification in brain magnetic resonance imaging.

José Bernal

PhD thesis, 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

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

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

Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

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

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

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

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

Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

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

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.

Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.

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

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

Transfer learning for classification of cardiovascular tissues in histological images.

Claudia Mazo, José Bernal, María P. Trujillo, Enrique Alegre

Comput. Methods Programs Biomed., 2018

2014

Evaluating Robustness of Template Matching Algorithms as a Multi-objective Optimisation Problem.

José Bernal, María P. Trujillo, Ivan Cabezas

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014