| 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 | 789 | 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 | 534 | 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 | 412 | 2011 |
| The slam problem: a survey. J Aulinas, YR Petillot, J Salvi, X Lladó CCIA 184 (1), 363-371, 2008 | 298 | 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 | 245 | 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 | 209 | 2012 |
| 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 | 208 | 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 | 164 | 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 | 138 | 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 | 116 | 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 | 106 | 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 | 105 | 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 | 87 | 2019 |
| 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 | 85 | 2012 |
| 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 | 83 | 2015 |
| 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 | 82 | 2010 |
| 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 | 80 | 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 | 79 | 2018 |
| 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 | 75 | 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 | 74 | 2015 |
Arnau OliverUniversitat de GironaBestätigte E-Mail-Adresse bei eia.udg.edu
