| 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 | 2774 | 2018 |
| 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 | 1140 | 2010 |
| 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 | 622 | 2011 |
| 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 | 550 | 2019 |
| The SLAM problem: a survey J Aulinas, Y Petillot, J Salvi, X Lladó Artificial Intelligence Research and Development, 363-371, 2008 | 506 | 2008 |
| 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 | 455 | 2017 |
| 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 | 410 | 2019 |
| 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 | 360 | 2018 |
| 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 | 322 | 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 | 271 | 2012 |
| 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 | 240 | 2019 |
| 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 | 177 | 2019 |
| Improving the detection of autism spectrum disorder by combining structural and functional MRI information M Rakić, M Cabezas, K Kushibar, A Oliver, X Llado NeuroImage: Clinical 25, 102181, 2020 | 167 | 2020 |
| 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 | 166 | 2007 |
| 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 | 164 | 2016 |
| Deep learning for mass detection in Full Field Digital Mammograms R Agarwal, O Diaz, MH Yap, X Llado, R Marti Computers in biology and medicine 121, 103774, 2020 | 159 | 2020 |
| 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 | 143 | 2019 |
| 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 | 142 | 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 | 137 | 2015 |
| 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 | 133 | 2020 |
Arnau OliverUniversitat de GironaVerified email at eia.udg.edu
