Xavier Llado
Xavier Llado
Full Professor. University of Girona.
Verified email at eia.udg.edu - Homepage
Cited by
Cited by
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
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
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
The SLAM problem: a survey
J Aulinas, Y Petillot, J Salvi, X Lladó
Artificial Intelligence Research and Development, 363-371, 2008
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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