Sergi Valverde
Sergi Valverde
Tensor Medical
Email confirmado em tensormedical.ai - Página inicial
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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
7112018
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
250*2017
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 95, 64-81, 2019
2022019
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
1092018
Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge
HJ Kuijf, JM Biesbroek, J De Bresser, R Heinen, S Andermatt, M Bento, ...
IEEE transactions on medical imaging 38 (11), 2556-2568, 2019
1082019
A review on brain structures segmentation in magnetic resonance imaging
S González-Villà, A Oliver, S Valverde, L Wang, R Zwiggelaar, X Lladó
Artificial intelligence in medicine 73, 45-69, 2016
942016
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
862015
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
852015
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
742018
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
712019
A white matter lesion-filling approach to improve brain tissue volume measurements
S Valverde, A Oliver, X Lladó
NeuroImage: Clinical 6, 86-92, 2014
592014
Automated tissue segmentation of MR brain images in the presence of white matter lesions
S Valverde, A Oliver, E Roura, S González-Villà, D Pareto, JC Vilanova, ...
Medical image analysis 35, 446-457, 2017
512017
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
382018
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
332014
Quantifying brain tissue volume in multiple sclerosis with automated lesion segmentation and filling
S Valverde, A Oliver, E Roura, D Pareto, JC Vilanova, L Ramió-Torrentà, ...
NeuroImage: Clinical 9, 640-647, 2015
322015
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
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
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
Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks
A Clerigues, S Valverde, J Bernal, J Freixenet, A Oliver, X Lladó
Computers in biology and medicine 115, 103487, 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
242020
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