Mariano Cabezas

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Suautori

Arnau OliverUniversitat de GironaPotvrđena adresa e-pošte na eia.udg.edu
Xavier LladoFull Professor. ICREA Academia. University of Girona.Potvrđena adresa e-pošte na eia.udg.edu
Alex RoviraHospital Universitari Vall d'HebronPotvrđena adresa e-pošte na gencat.cat
Sergi ValverdeTensor MedicalPotvrđena adresa e-pošte na tensormedical.ai
Lluís Ramió-TorrentàDr. Josep Trueta University Hospital. IDIBGI. University of GironaPotvrđena adresa e-pošte na idibgi.org
Jordi FreixenetUniversity of GironaPotvrđena adresa e-pošte na udg.edu
Eloy Roura PerezTechnology Innovation InstitutePotvrđena adresa e-pošte na tii.ae
Chenyu WangBrain and Mind Centre, University of Sydney; Sydney Neuroimaging Analysis CentrePotvrđena adresa e-pošte na sydney.edu.au
Michael BarnettThe University of Sydney / Brain and Mind CentrePotvrđena adresa e-pošte na sydney.edu.au
Yago DiezAssociate Professor, Yamagata UniversityPotvrđena adresa e-pošte na sci.kj.yamagata-u.ac.jp
Joaquim Salvi (ORCID: 0000-0002-94...Universitat de GironaPotvrđena adresa e-pošte na udg.edu
Mostafa SalemAssistant Professor, Computer Science Dept., Faculty of Computers and Information, Assiut UniversityPotvrđena adresa e-pošte na aun.edu.eg
Zihao TangBrain and Mind Centre, University of SydneyPotvrđena adresa e-pošte na uni.sydney.edu.au
Weidong (Tom) CaiSchool of Computer Science, The University of SydneyPotvrđena adresa e-pošte na sydney.edu.au
Kaisar KushibarUniversity of BarcelonaPotvrđena adresa e-pošte na ub.edu
Jose BernalPostdoctoral research, DZNEPotvrđena adresa e-pošte na dzne.de
Dongnan LiuThe University of SydneyPotvrđena adresa e-pošte na sydney.edu.au
Meritxell Bach CuadraCIBM Center for Biomedical Imaging, Lausanne University (UNIL), Radiology Department (CHUV)Potvrđena adresa e-pošte na unil.ch
Fernando CalamanteUniversity of Sydney; Director of Sydney Imaging, Professor at Faculty of EngineeringPotvrđena adresa e-pošte na sydney.edu.au
Dongang WangUniversity of SydneyPotvrđena adresa e-pošte na sydney.edu.au

Prati

Mariano Cabezas

Macquarie University / University of Sydney

Potvrđena adresa e-pošte na mq.edu.au - Početna stranica

image analysis mri multiple sclerosis segmentation


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	2291	2018
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	579	2011
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	406	2017
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	311	2012
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	295	2018
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	165	2019
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	127	2018
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	126	2020
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	121	2021
A toolbox for multiple sclerosis lesion segmentation E Roura, A Oliver, M Cabezas, S Valverde, D Pareto, JC Vilanova, ... Neuroradiology 57, 1031-1043, 2015	118	2015
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	115	2015
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	79	2020
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	73	2018
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	71	2019
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	68	2014
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	61	2017
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	57	2014
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	56	2019
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, https://www …, 2022	53	2022
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	49	2019

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