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Albert Clèrigues Garcia
Albert Clèrigues Garcia
PhD student, VICOROB Institute, University of Girona
Verified email at udg.edu
Title
Cited by
Cited by
Year
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
1012019
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
732020
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
332021
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
282018
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
72021
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
42018
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
32023
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
32022
Deep learning for medical imaging
J Bernal, K Kushibar, A Clèrigues, A Oliver, X Lladó
Deep Learning in Biology and Medicine, 11-54, 2022
22022
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
12018
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
12018
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
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