Fernando Aparici-Robles

According to our database, Fernando Aparici-Robles authored at least 5 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

DeepCERES: A Deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI.

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

CoRR, 2024

DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI.

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

CoRR, 2024

2022

Artificial Intelligence on FDG PET Images Identifies Mild Cognitive Impairment Patients with Neurodegenerative Disease.

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

J. Medical Syst., 2022

vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis.

José V. Manjón, José E. Romero, Roberto Vivó Hernando, Gregorio Rubio, Fernando Aparici-Robles, María de la Iglesia-Vayá, Pierrick Coupé

Frontiers Neuroinformatics, 2022

2020

Blind MRI Brain Lesion Inpainting Using Deep Learning.

José V. Manjón, José E. Romero, Roberto Vivó Hernando, Gregorio Rubio, Fernando Aparici-Robles, María de la Iglesia-Vayá, Thomas Tourdias, Pierrick Coupé

Proceedings of the Simulation and Synthesis in Medical Imaging, 2020