| 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 | 2159 | 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 | 583 | 2011 |
| A review of automatic mass detection and segmentation in mammographic images A Oliver, J Freixenet, J Marti, E Perez, J Pont, ERE Denton, R Zwiggelaar Medical image analysis 14 (2), 87-110, 2010 | 525 | 2010 |
| 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 | 492 | 2019 |
| 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 | 405 | 2017 |
| A novel breast tissue density classification methodology A Oliver, J Freixenet, R Marti, J Pont, E Pérez, ERE Denton, R Zwiggelaar Ieee transactions on information technology in biomedicine 12 (1), 55-65, 2008 | 325 | 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 | 312 | 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 | 266 | 2012 |
| Breast segmentation with pectoral muscle suppression on digital mammograms D Raba, A Oliver, J Martí, M Peracaula, J Espunya Pattern Recognition and Image Analysis: Second Iberian Conference, IbPRIA …, 2005 | 233 | 2005 |
| 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 | 162 | 2007 |
| 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 | 161 | 2019 |
| 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 | 145 | 2016 |
| 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 | 143 | 2012 |
| Modeling and classifying breast tissue density in mammograms A Bosch, X Munoz, A Oliver, J Marti 2006 IEEE computer society conference on computer vision and pattern …, 2006 | 136 | 2006 |
| Improving the detection of autism spectrum disorder by combining structural and functional MRI information M Rakić, M Cabezas, K Kushibar, A Oliver, X Lladó NeuroImage: Clinical 25, 102181, 2020 | 128 | 2020 |
| 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 | 128 | 2018 |
| 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 | 126 | 2009 |
| 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 | 120 | 2012 |
| Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks A Clerigues, S Valverde, J Bernal, J Freixenet, A Oliver, X Lladó Computers in biology and medicine 115, 103487, 2019 | 119 | 2019 |
| A toolbox for multiple sclerosis lesion segmentation E Roura, A Oliver, M Cabezas, S Valverde, D Pareto, JC Vilanova, ... Neuroradiology 57, 1031-1043, 2015 | 116 | 2015 |
Xavier LladoFull Professor. ICREA Academia. University of Girona.eia.udg.edu의 이메일 확인됨