José Bernal

According to our database1, José Bernal authored at least 18 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Gaussian Process-based prediction of memory performance and biomarker status in ageing and Alzheimer's disease - A systematic model evaluation.
Medical Image Anal., December, 2023

2021
Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors.
Neuroinformatics, 2021

A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage.
NeuroImage, 2021

Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

2020
Deep learning for atrophy quantification in brain magnetic resonance imaging.
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.
J. Imaging, 2020

Acute and sub-acute stroke lesion segmentation from multimodal MRI.
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.
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.
Comput. Biol. Medicine, 2019

Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review.
Artif. Intell. Medicine, 2019

Quantitative Analysis of Patch-Based Fully Convolutional Neural Networks for Tissue Segmentation on Brain Magnetic Resonance Imaging.
IEEE Access, 2019

Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

2018
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features.
Medical Image Anal., 2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.
CoRR, 2018

SUNet: a deep learning architecture for acute stroke lesion segmentation and outcome prediction in multimodal MRI.
CoRR, 2018

Survival prediction using ensemble tumor segmentation and transfer learning.
CoRR, 2018

Transfer learning for classification of cardiovascular tissues in histological images.
Comput. Methods Programs Biomed., 2018

2014
Evaluating Robustness of Template Matching Algorithms as a Multi-objective Optimisation Problem.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014


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