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Sergi Valverde
Sergi Valverde
Tensor Medical
Verified email at tensormedical.ai - Homepage
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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
17642018
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
4142019
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
3812017
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
2682019
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
2322018
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
1372019
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
1282016
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
1122018
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
1112015
A toolbox for multiple sclerosis lesion segmentation
E Roura, A Oliver, M Cabezas, S Valverde, D Pareto, JC Vilanova, ...
Neuroradiology 57, 1031-1043, 2015
1082015
Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks
A Clèrigues, S Valverde, J Bernal, J Freixenet, A Oliver, X Lladó
Computers in biology and medicine 115, 103487, 2019
1012019
A white matter lesion-filling approach to improve brain tissue volume measurements
S Valverde, A Oliver, X Lladó
NeuroImage: Clinical 6, 86-92, 2014
762014
Acute and sub-acute stroke lesion segmentation from multimodal MRI
A Clèrigues, S Valverde, J Bernal, J Freixenet, A Oliver, X Lladó
Computer methods and programs in biomedicine 194, 105521, 2020
732020
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
702017
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
662018
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
642020
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
592019
Computational analysis of multimorbidity between asthma, eczema and rhinitis
D Aguilar, M Pinart, GH Koppelman, Y Saeys, MC Nawijn, DS Postma, ...
PLoS One 12 (6), e0179125, 2017
542017
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
502019
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
442019
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