Xavier Llado
Xavier Llado
Full Professor. University of Girona.
Verified email at eia.udg.edu - Homepage
Title
Cited by
Cited by
Year
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
8172010
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
6762018
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
4302011
The SLAM problem: a survey
J Aulinas, Y Petillot, J Salvi, X Lladó
Artificial Intelligence Research and Development, 363-371, 2008
3162008
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
2562012
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach
S Valverde, M Cabezas, E Roura, S González-Villŕ, D Pareto, ...
NeuroImage 155, 159-168, 2017
2322017
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
2232012
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
1942019
False positive reduction in mammographic mass detection using local binary patterns
A Oliver, X Lladó, J Freixenet, J Martí
International Conference on Medical Image Computing and Computer-Assisted …, 2007
1412007
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
1162012
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
1082009
Non-rigid metric shape and motion recovery from uncalibrated images using priors
A Del Bue, X Llad, L Agapito
2006 IEEE computer society conference on computer vision and pattern …, 2006
1072006
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
1022018
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
1002019
A review on brain structures segmentation in magnetic resonance imaging
S González-Villŕ, A Oliver, S Valverde, L Wang, R Zwiggelaar, X Lladó
Artificial intelligence in medicine 73, 45-69, 2016
912016
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
892015
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 (8), 787-807, 2012
882012
A statistical approach for breast density segmentation
A Oliver, X Lladó, E Pérez, J Pont, ERE Denton, J Freixenet, J Martí
Journal of digital imaging 23 (5), 527-537, 2010
852010
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
842015
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
832015
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