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Xavier Llado
Xavier Llado
Full Professor. ICREA Academia. University of Girona.
Verified email at eia.udg.edu - Homepage
Title
Cited by
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
18342018
A state of the art in structured light patterns for surface profilometry
J Salvi, S Fernandez, T Pribanic, X Llado
Pattern recognition 43 (8), 2666-2680, 2010
10232010
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
5582011
The SLAM problem: a survey
J Aulinas, Y Petillot, J Salvi, X Lladó
Artificial Intelligence Research and Development, 363-371, 2008
4362008
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
4252019
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
3872017
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
2952012
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
2752019
A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images
S Ghose, A Oliver, R Martí, X Lladó, JC Vilanova, J Freixenet, J Mitra, ...
Computer methods and programs in biomedicine 108 (1), 262-287, 2012
2562012
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
2442018
Automatic mass detection in mammograms using deep convolutional neural networks
R Agarwal, O Diaz, X Lladó, MH Yap, R Martí
Journal of Medical Imaging 6 (3), 031409-031409, 2019
1852019
False positive reduction in mammographic mass detection using local binary patterns
A Oliver, X Lladó, J Freixenet, J Martí
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007: 10th …, 2007
1602007
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
1392019
Automatic microcalcification and cluster detection for digital and digitised mammograms
A Oliver, A Torrent, X Lladó, M Tortajada, L Tortajada, M Sentís, ...
Knowledge-Based Systems 28, 68-75, 2012
1362012
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
1312016
A textural approach for mass false positive reduction in mammography
X Lladó, A Oliver, J Freixenet, R Martí, J Martí
Computerized Medical Imaging and Graphics 33 (6), 415-422, 2009
1232009
A qualitative review on 3D coarse registration methods
Y Diez, F Roure, X Lladó, J Salvi
ACM Computing Surveys (CSUR) 47 (3), 1-36, 2015
1202015
Deep learning for mass detection in full field digital mammograms
R Agarwal, O Diaz, MH Yap, X Lladó, R Marti
Computers in biology and medicine 121, 103774, 2020
1192020
Automated detection of multiple sclerosis lesions in serial brain MRI
X Lladó, O Ganiler, A Oliver, R Martí, J Freixenet, L Valls, JC Vilanova, ...
Neuroradiology 54, 787-807, 2012
1192012
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
1162018
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