Jose Bernal
Title
Cited by
Cited by
Year
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
4782018
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
J Bernal, K Kushibar, DS Asfaw, S Valverde, A Oliver, R Martí, X Lladó
Artificial intelligence in medicine, 2018
1452018
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features
K Kushibar, S Valverde, S González-Villà, J Bernal, M Cabezas, A Oliver, ...
Medical image analysis 48, 177-186, 2018
582018
Transfer learning for classification of cardiovascular tissues in histological images
C Mazo, J Bernal, M Trujillo, E Alegre
Computer methods and programs in biomedicine 165, 69-76, 2018
302018
Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging
J Bernal, K Kushibar, M Cabezas, S Valverde, A Oliver, X Lladó
IEEE Access 7, 89986-90002, 2019
222019
Supervised domain adaptation for automatic sub-cortical brain structure segmentation with minimal user interaction
K Kushibar, S Valverde, S González-Villà, J Bernal, M Cabezas, A Oliver, ...
Scientific reports 9 (1), 1-15, 2019
182019
A probabilistic granular tabu search for the distance constrained capacitated vehicle routing problem
J Bernal, JW Escobar, JC Paz, R Linfati, G Gatica
International Journal of Industrial and Systems Engineering 29 (4), 453-477, 2018
182018
Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks
A Clèrigues, S Valverde, J Bernal, J Freixenet, A Oliver, X Lladó
Computers in biology and medicine 115, 103487, 2019
132019
Survival prediction using ensemble tumor segmentation and transfer learning
M Cabezas, S Valverde, S González-Villà, A Clérigues, M Salem, ...
arXiv preprint arXiv:1810.04274, 2018
122018
Acute and sub-acute stroke lesion segmentation from multimodal MRI
A Clèrigues, S Valverde, J Bernal, J Freixenet, A Oliver, X Lladó
Computer methods and programs in biomedicine 194, 105521, 2020
102020
Automatic characterisation of chars from the combustion of pulverised coals using machine vision
D Chaves, L Fernández-Robles, J Bernal, E Alegre, M Trujillo
Powder Technology 338, 110-118, 2018
82018
SUNet: a deep learning architecture for acute stroke lesion segmentation and outcome prediction in multimodal mri
A Clèrigues, S Valverde, J Bernal, J Freixenet, A Oliver, X Lladó
arXiv preprint arXiv:1810.13304, 2018
82018
A granular tabu search algorithm for a real case study of a vehicle routing problem with a heterogeneous fleet and time windows
J Bernal, JW Escobar, R Linfati
Journal of Industrial Engineering and Management 10 (4), 646-662, 2017
82017
A comparison of trajectory granular based algorithms for the location-routing problem with heterogeneous fleet (LRPH)
JA Bernal-Moyano, JW Escobar, C Marín-Moreno, R Linfati, G Gatica
Dyna 84 (200), 193-201, 2017
52017
Analysis of dynamic texture and spatial spectral descriptors of dynamic contrast-enhanced brain magnetic resonance images for studying small vessel disease
J Bernal, MC Valdés-Hernández, J Escudero, L Viksne, AK Heye, ...
Magnetic resonance imaging 66, 240-247, 2020
32020
A computational comparison of heuristic algorithms for the Location-Routing Problem with Heterogeneous Fleet (LRPH)
J Bernal, JW Escobar, C Marín, R Linfati, G Gatica
Working paper, 2015
32015
Analysis of spatial spectral features of dynamic contrast-enhanced brain magnetic resonance images for studying small vessel disease
J Bernal, MC Valdés-Hernández, J Escudero, PA Armitage, S Makin, ...
Annual Conference on Medical Image Understanding and Analysis, 282-293, 2019
22019
A probabilistic Granular Tabu Search for the Distance Constrained Capacitated Vehicle Routing Problem (DCVRP)
J BERNAL MOYANO, JW ESCOBAR, JC PAZ ROA, G GATICA, R LINFATI
Technical Report, 2016
22016
Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors
J Bernal, S Valverde, K Kushibar, M Cabezas, A Oliver, X Lladó
Neuroinformatics, 1-16, 2021
12021
A quantitative analysis of deep learning methods for multiple sclerosis white matter lesion segmentation
A Clerigues, S Valverde, J Bernal, D Pareto, JC Vilanova, ...
MULTIPLE SCLEROSIS JOURNAL 24, 637-638, 2018
12018
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Articles 1–20