متابعة
Mariano Cabezas
Mariano Cabezas
Macquarie University / University of Sydney
بريد إلكتروني تم التحقق منه على mq.edu.au - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
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مقالات 1–20