Mariano Cabezas
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
6722018
A review of atlas-based segmentation for magnetic resonance brain images
M Cabezas, A Oliver, X Lladó, J Freixenet, MB Cuadra
Computer methods and programs in biomedicine 104 (3), e158-e177, 2011
4302011
Segmentation of multiple sclerosis lesions in brain MRI: a review of automated approaches
X Lladó, A Oliver, M Cabezas, J Freixenet, JC Vilanova, A Quiles, L Valls, ...
Information Sciences 186 (1), 164-185, 2012
2562012
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach
S Valverde, M Cabezas, E Roura, S González-Villà, D Pareto, ...
NeuroImage 155, 159-168, 2017
246*2017
Objective evaluation of multiple sclerosis lesion segmentation using a data management and processing infrastructure
O Commowick, A Istace, M Kain, B Laurent, F Leray, M Simon, SC Pop, ...
Scientific reports 8 (1), 1-17, 2018
1022018
Comparison of 10 brain tissue segmentation methods using revisited IBSR annotations
S Valverde, A Oliver, M Cabezas, E Roura, X Lladó
Journal of Magnetic Resonance Imaging 41 (1), 93-101, 2015
842015
A toolbox for multiple sclerosis lesion segmentation
E Roura, A Oliver, M Cabezas, S Valverde, D Pareto, JC Vilanova, ...
Neuroradiology 57 (10), 1031-1043, 2015
832015
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks
S Valverde, M Salem, M Cabezas, D Pareto, JC Vilanova, ...
NeuroImage: Clinical 21, 101638, 2019
702019
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
702018
Automatic multiple sclerosis lesion detection in brain MRI by FLAIR thresholding
M Cabezas, A Oliver, E Roura, J Freixenet, JC Vilanova, ...
Computer methods and programs in biomedicine 115 (3), 147-161, 2014
512014
MARGA: multispectral adaptive region growing algorithm for brain extraction on axial MRI
E Roura, A Oliver, M Cabezas, JC Vilanova, A Rovira, L Ramió-Torrentà, ...
Computer methods and programs in biomedicine 113 (2), 655-673, 2014
502014
A supervised framework with intensity subtraction and deformation field features for the detection of new T2-w lesions in multiple sclerosis
M Salem, M Cabezas, S Valverde, D Pareto, A Oliver, J Salvi, À Rovira, ...
NeuroImage: Clinical 17, 607-615, 2018
372018
BOOST: A supervised approach for multiple sclerosis lesion segmentation
M Cabezas, A Oliver, S Valverde, B Beltran, J Freixenet, JC Vilanova, ...
Journal of neuroscience methods 237, 108-117, 2014
322014
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
272019
Multiple sclerosis lesion synthesis in MRI using an encoder-decoder U-NET
M Salem, S Valverde, M Cabezas, D Pareto, A Oliver, J Salvi, À Rovira, ...
IEEE Access 7, 25171-25184, 2019
272019
Improved automatic detection of new T2 lesions in multiple sclerosis using deformation fields
M Cabezas, JF Corral, A Oliver, Y Díez, M Tintoré, C Auger, X Montalban, ...
American Journal of Neuroradiology 37 (10), 1816-1823, 2016
262016
Supervised domain adaptation for automatic sub-cortical brain structure segmentation with minimal user interaction
K Kushibar, S Valverde, S Gonzalez-Villa, J Bernal, M Cabezas, A Oliver, ...
Scientific reports 9 (1), 1-15, 2019
252019
A fully convolutional neural network for new T2-w lesion detection in multiple sclerosis
M Salem, S Valverde, M Cabezas, D Pareto, A Oliver, J Salvi, À Rovira, ...
NeuroImage: Clinical 25, 102149, 2020
212020
Intensity based methods for brain MRI longitudinal registration. A study on multiple sclerosis patients
Y Diez, A Oliver, M Cabezas, S Valverde, R Martí, JC Vilanova, ...
Neuroinformatics 12 (3), 365-379, 2014
212014
Evaluating the effect of multiple sclerosis lesions on automatic brain structure segmentation
S González-Villà, S Valverde, M Cabezas, D Pareto, JC Vilanova, ...
NeuroImage: Clinical 15, 228-238, 2017
192017
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