José Bernal

24 papers C 1Journal 19Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
SMAS: Structural MRI-based AD Score using Bayesian supervised VAE.
Comput. Biol. Medicine
Aditya Sai Ram Nemali, José Bernal, Renat Yakupov, D. Singh, Martin Dyrba, Enise Incesoy, S. Mukherjee, Oliver Peters, E. Ersözlü, J. Hellmann-Regen, Lukas Preis, Josef Priller, Eike J. Spruth, S. Altenstein, A. Lohse, Anja Schneider, K. Fliessbach, O. Kimmich, Jens Wiltfang, N. Hansen, Björn H. Schott, A. Rostamzadeh, Wenzel Glanz, Michaela Butryn, Katharina Buerger, D. Janowitz, M. Ewers, Robert Perneczky, Boris-Stephan Rauchmann, Stefan Teipel, Ingo Kilimann, Doreen Görß, Christoph Laske, S. Sodenkamp, Annika Spottke, M. Coenjaerts, Frederic Brosseron, F. Lüsebrink, Peter Dechent, Klaus Scheffler, S. Hetzer, L. Kleineidam, M. Stark, Frank Jessen, Emrah Düzel, G. Ziegler
2025 J jnl
Standardized Evaluation of Automatic Methods for Perivascular Spaces Segmentation in MRI - MICCAI 2024 Challenge Results.
CoRR
Yilei Wu, Yichi Zhang, Zijian Dong, Fang Ji, An Sen Tan, Gifford Tan, Sizhao Tang, Huijuan Chen, Zijiao Chen, Eric Kwun Kei Ng, José Bernal, Hang Min, Ying Xia, Ines Vati, Liz Cooper, Xiaoyu Hu, Yuchen Pei, Yutao Ma, Victor Nozais, Ami Tsuchida, Pierre-Yves Hervé, Philippe Boutinaud, Marc Joliot, Junghwa Kang, Wooseung Kim, Dayeon Bak, Rachika E. Hamadache, Valeriia Abramova, Xavier Lladó, Yuntao Zhu, Zhenyu Gong, Xin Chen, John McFadden, Pek Lan Khong, Roberto Duarte Coello, Hongwei Bran Li, Woon Puay Koh, Christopher Chen, Joanna M. Wardlaw, Maria del C. Valdés Hernández, Juan Helen Zhou
2024 J jnl
Systematic review and meta-analysis of automated methods for quantifying enlarged perivascular spaces in the brain.
NeuroImage
Jennifer M. J. Waymont, Maria del C. Valdés Hernández, José Bernal, Roberto Duarte Coello, Rosalind Brown, Francesca M. Chappell, Lucia Ballerini, Joanna M. Wardlaw
2023 J jnl
Gaussian Process-based prediction of memory performance and biomarker status in ageing and Alzheimer's disease - A systematic model evaluation.
Medical Image Anal.
Aditya Sai Ram Nemali, Niklas Vockert, David Berron, Anne Maaß, José Bernal, Renat Yakupov, Oliver Peters, Daria 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, Björn H. Schott, Franziska Maier, Dix 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
2021 J jnl
A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage.
NeuroImage
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
2021 J jnl
Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors.
Neuroinformatics
José Bernal, Sergi Valverde, Kaisar Kushibar, Mariano Cabezas, Arnau Oliver, Xavier Lladó
2021 — conf
Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging.
MIUA
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
2020 — conf
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.
MIUA
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
2020 J jnl
Acute and sub-acute stroke lesion segmentation from multimodal MRI.
Comput. Methods Programs Biomed.
Albert Clérigues, Sergi Valverde, José Bernal, Jordi Freixenet, Arnau Oliver, Xavier Lladó
2020 — —
Deep learning for atrophy quantification in brain magnetic resonance imaging.
José Bernal
2020 J jnl
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.
J. Imaging
José Bernal, Maria del C. Valdés Hernández, Javier Escudero, Eleni Sakka, Paul A. Armitage, Stephen D. Makin, Rhian M. Touyz, Joanna M. Wardlaw
2019 J jnl
Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks.
Comput. Biol. Medicine
Albert Clérigues, Sergi Valverde, José Bernal, Jordi Freixenet, Arnau Oliver, Xavier Lladó
2019 — conf
Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease.
MIUA
José Bernal, Maria del C. Valdés Hernández, Javier Escudero, Paul A. Armitage, Stephen D. Makin, Rhian M. Touyz, Joanna M. Wardlaw
2019 J jnl
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review.
Artif. Intell. Medicine
José Bernal, Kaisar Kushibar, Daniel S. Asfaw, Sergi Valverde, Arnau Oliver, Robert Martí, Xavier Lladó
2019 J jnl
Quantitative Analysis of Patch-Based Fully Convolutional Neural Networks for Tissue Segmentation on Brain Magnetic Resonance Imaging.
IEEE Access
José Bernal, Kaisar Kushibar, Mariano Cabezas, Sergi Valverde, Arnau Oliver, Xavier Lladó
2018 J jnl
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features.
Medical Image Anal.
Kaisar Kushibar, Sergi Valverde, Sandra González-Villà, José Bernal, Mariano Cabezas, Arnau Oliver, Xavier Lladó
2018 J jnl
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.
CoRR
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.
2018 J jnl
Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging.
CoRR
José Bernal, Kaisar Kushibar, Mariano Cabezas, Sergi Valverde, Arnau Oliver, Xavier Lladó
2018 J jnl
SUNet: a deep learning architecture for acute stroke lesion segmentation and outcome prediction in multimodal MRI.
CoRR
Albert Clérigues, Sergi Valverde, José Bernal, Jordi Freixenet, Arnau Oliver, Xavier Lladó
2018 J jnl
Survival prediction using ensemble tumor segmentation and transfer learning.
CoRR
Mariano Cabezas, Sergi Valverde, Sandra González-Villà, Albert Clérigues, Mostafa Salem, Kaisar Kushibar, José Bernal, Arnau Oliver, Xavier Lladó
2018 J jnl
Transfer learning for classification of cardiovascular tissues in histological images.
Comput. Methods Programs Biomed.
Claudia Mazo, José Bernal, María P. Trujillo, Enrique Alegre
2017 J jnl
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features.
CoRR
Kaisar Kushibar, Sergi Valverde, Sandra González-Villà, José Bernal, Mariano Cabezas, Arnau Oliver, Xavier Lladó
2017 J jnl
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review.
CoRR
José Bernal, Kaisar Kushibar, Daniel S. Asfaw, Sergi Valverde, Arnau Oliver, Robert Marti, Xavier Lladó
2014 C conf
Evaluating Robustness of Template Matching Algorithms as a Multi-objective Optimisation Problem.
CIARP
José Bernal, María P. Trujillo, Ivan Cabezas