| 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 | 101 | 2019 |
| 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 | 73 | 2020 |
| Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks V Abramova, A Clerigues, A Quiles, DG Figueredo, Y Silva, S Pedraza, ... Computerized Medical Imaging and Graphics 90, 101908, 2021 | 34 | 2021 |
| Survival prediction using ensemble tumor segmentation and transfer learning M Cabezas, S Valverde, S González-Villà, A Clérigues, M Salem, ... arXiv preprint arXiv:1810.04274, 2018 | 28 | 2018 |
| Assessing the accuracy and reproducibility of PARIETAL: a deep learning brain extraction algorithm S Valverde, L Coll, L Valencia, A Clèrigues, A Oliver, JC Vilanova, ... Journal of Magnetic Resonance Imaging, 2021 | 7 | 2021 |
| Ensemble of convolutional neural networks for acute stroke anatomy differentiation A Clèrigues, S Valverde, J Bernal, K Kushibar, M Cabezas, A Oliver, ... International MICCAI Brainlesion Workshop, 2018 | 4 | 2018 |
| Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry A Clèrigues, S Valverde, J Salvi, A Oliver, X Lladó Computerized Medical Imaging and Graphics 103, 102157, 2023 | 3 | 2023 |
| Evaluating the use of synthetic t1-w images in new t2 lesion detection in multiple sclerosis L Valencia, A Clèrigues, S Valverde, M Salem, A Oliver, À Rovira, X Lladó Frontiers in Neuroscience 16, 954662, 2022 | 3 | 2022 |
| Deep learning for medical imaging J Bernal, K Kushibar, A Clèrigues, A Oliver, X Lladó Deep Learning in Biology and Medicine, 11-54, 2022 | 2 | 2022 |
| A quantitative analysis of deep learning methods for multiple sclerosis white matter lesion segmentation A Clerigues, S Valverde, J Bernal, D Pareto, JC Vilanova, ... MULTIPLE SCLEROSIS JOURNAL 24, 637-638, 2018 | 1 | 2018 |
| MR brain segmentation using an ensemble of multi-path u-shaped convolutional neural networks and tissue segmentation priors J Bernal, M Salem, K Kushibar, A Clèrigues, S Valverde, M Cabezas, ... Accessed: Feb 20, 2019, 2018 | 1 | 2018 |
| A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge E de la Rosa, M Reyes, SL Liew, A Hutton, R Wiest, J Kaesmacher, ... arXiv preprint arXiv:2403.19425, 2024 | | 2024 |
| Inclusion of attention gates in a 3D CNN model improves the performance in new T2 lesion quantification M Guirao, NN Kocharyan, S Valverde, R Bramon, A Clerigues, L Valencia, ... MULTIPLE SCLEROSIS JOURNAL 29, 513-513, 2023 | | 2023 |
| End-to-end MS lesion inpainting and tissue segmentation using a deep learning approach A Clerigues, S Valverde, R Bramon, L Valencia, M Guirao, J Salvi, ... MULTIPLE SCLEROSIS JOURNAL 29, 922-923, 2023 | | 2023 |
| Studying the effect of MS lesions on brain volumetry computed using a patch-based deep learning tissue segmentation A Clerigues, S Valverde, M Guirao, L Valencia, R Bramon, J Salvi, ... MULTIPLE SCLEROSIS JOURNAL 29, 836-837, 2023 | | 2023 |
| Assessing the performance of an automated decisionsupport system for detecting active T2 lesions on nonstandardized MRI systems and field strengths S Valverde, R Bramon, A Clerigues, L Valencia, A Oliver, N Nerseyan, ... MULTIPLE SCLEROSIS JOURNAL 28 (3_ SUPPL), 271-271, 2022 | | 2022 |
| Assessing the usability of synthetic images to improve the detection of new T2 lesions L Valencia, S Valverde, A Clerigues, A Oliver, JF Corral, A Rovira, X Llado MULTIPLE SCLEROSIS JOURNAL 27 (2_ SUPPL), 480-480, 2021 | | 2021 |
| Assessing the Accuracy and Reproducibility of PARIETAL: A Deep Learning Brain Extraction Algorithm S Valverde Valverde, L Coll, L Valencia, A Clèrigues, ... Journal of Magnetic Resonance Imaging, 2021, Online Version of Record before …, 2021 | | 2021 |
