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Fernando Aparici-Robles
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2020 – today
- 2024
- [i2]Marina Ruiz-Perez, Sergio Morell-Ortega, Marien Gadea, Roberto Vivó Hernando, Gregorio Rubio, Fernando Aparici-Robles, María de la Iglesia-Vayá, Thomas Tourdias, Pierrick Coupé, José V. Manjón:
DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI. CoRR abs/2401.07751 (2024) - [i1]Sergio Morell-Ortega, Marina Ruiz-Perez, Marien Gadea, Roberto Vivó Hernando, Gregorio Rubio, Fernando Aparici-Robles, María de la Iglesia-Vayá, Gwenaelle Catheline, Pierrick Coupé, José V. Manjón:
DeepCERES: A Deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI. CoRR abs/2401.12074 (2024) - 2022
- [j2]José V. Manjón, José E. Romero, Roberto Vivó Hernando, Gregorio Rubio, Fernando Aparici-Robles, María de la Iglesia-Vayá, Pierrick Coupé:
vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis. Frontiers Neuroinformatics 16: 862805 (2022) - [j1]Joan Prats-Climent, Maria Teresa Gandia-Ferrero, Irene Torres-Espallardo, Lourdes Álvarez-Sanchez, Begoña Martínez-Sanchis, Consuelo Cháfer-Pericás, Ignacio Gómez-Rico, Leonor Cerdá Alberich, Fernando Aparici-Robles, Miquel Baquero-Toledo, María-José Rodríguez-Alvarez, Luis Martí-Bonmatí:
Artificial Intelligence on FDG PET Images Identifies Mild Cognitive Impairment Patients with Neurodegenerative Disease. J. Medical Syst. 46(8): 52 (2022) - 2020
- [c1]José V. Manjón, José E. Romero, Roberto Vivó Hernando, Gregorio Rubio, Fernando Aparici-Robles, María de la Iglesia-Vayá, Thomas Tourdias, Pierrick Coupé:
Blind MRI Brain Lesion Inpainting Using Deep Learning. SASHIMI@MICCAI 2020: 41-49
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last updated on 2024-10-07 22:11 CEST by the dblp team
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