Követés
Mariano Cabezas
Mariano Cabezas
Macquarie University / University of Sydney
E-mail megerősítve itt: mq.edu.au - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
21702018
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
5842011
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
4072017
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
3142012
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), 13650, 2018
2902018
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
1632019
Improving the detection of autism spectrum disorder by combining structural and functional MRI information
M Rakić, M Cabezas, K Kushibar, A Oliver, X Lladó
NeuroImage: Clinical 25, 102181, 2020
1282020
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features
K Kushibar, S Valverde, S Gonzalez-Villa, J Bernal, M Cabezas, A Oliver, ...
Medical image analysis 48, 177-186, 2018
1282018
Deep learning in forestry using uav-acquired rgb data: A practical review
Y Diez, S Kentsch, M Fukuda, MLL Caceres, K Moritake, M Cabezas
Remote Sensing 13 (14), 2837, 2021
1192021
A toolbox for multiple sclerosis lesion segmentation
E Roura, A Oliver, M Cabezas, S Valverde, D Pareto, JC Vilanova, ...
Neuroradiology 57, 1031-1043, 2015
1182015
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
1162015
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
792020
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
742018
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
712019
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
672014
A. Rovira, A. Oliver, and X. Lladó,“Improving automated multiple sclerosis lesion segmentation with a cascaded 3d convolutional neural network approach,”
S Valverde, M Cabezas, E Roura, S González-Villa, D Pareto, ...
NeuroImage 155, 159-168, 2017
612017
MARGA: multispectral adaptive region growing algorithm for brain extraction on axial MRI
E Roura, A Oliver, M Cabezas, JC Vilanova, A Rovira, L Ramio-Torrenta, ...
Computer methods and programs in biomedicine 113 (2), 655-673, 2014
582014
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
552019
QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation-analysis of ranking scores and benchmarking results
R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ...
The journal of machine learning for biomedical imaging 2022, 2022
532022
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), 6742, 2019
502019
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20