| 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 | 123 | 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 | 117 | 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 | 51 | 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 | 32 | 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 59 (6), 1991-2000, 2024 | 8 | 2024 |
| 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 | 8 | 2023 |
| 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 | 6 | 2024 |
| 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 | 6 | 2022 |
| 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 |
| 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 |
| Improving brain atrophy quantification with deep learning from automated labels using tissue similarity priors A Clèrigues Garcia, S Valverde Valverde, A Oliver i Malagelada, ... Elsevier, 2024 | | 2024 |
| Evaluating the performance of the AH-1 imaging software for the clinical management of MS patients in real world conditions A Clerigues, M Guirao, R Bramon, A Tovar, MA Camara-Vazquez, ... MULTIPLE SCLEROSIS JOURNAL 30 (3), 269-270, 2024 | | 2024 |
| Improving generalization of MRI-based detection of new T2 lesions through fine-tuning deep learning methods M Guirao, S Valverde, R Bramon, A Clerigues, A Tovar, ... MULTIPLE SCLEROSIS JOURNAL 30 (3), 288-289, 2024 | | 2024 |
| Improving brain atrophy quantification with deep learning from automated labels using tissue similarity priors A Clèrigues, S Valverde, A Oliver, X Lladó, ... Computers in Biology and Medicine 179, 108811, 2024 | | 2024 |
| nnUNet for Brain Tumor Segmentation in Sub-Saharan Africa Patient Population V Abramova, UM Lal-Trehan Estrada, C Yalçın, RE Hamadache, ... International Challenge on Cross-Modality Domain Adaptation for Medical …, 2023 | | 2023 |
| 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 |
