Baeza-Delgado, Carlos; Cerdá Alberich, Leonor; Carot Sierra, José Miguel; Veiga-Canuto, Diana; Martinez de las Heras, Blanca; Raza, Ben; Marti-Bonmati, Luis(Springer, 2022-06-01)
[EN] Background Estimating the required sample size is crucial when developing and validating clinical prediction models. However, there is no consensus about how to determine the sample size in such a setting. Here, the ...
[EN] The purpose of this project is to develop and validate a Deep Learning (DL) FDG PET imaging algorithm able to identify patients with any neurodegenerative diseases (Alzheimer's Disease (AD), Frontotemporal Degeneration ...
[EN] Tumor segmentation is a key step in oncologic imaging processing. We have recently developed a model to detect and segment neuroblastic tumors on MR images based on deep learning architecture nnU-Net. In this work, ...
Martí-Bonmatí, Luis; Alberich Bayarri, Ángel; Ladenstein, Ruth; Blanquer Espert, Ignacio; Segrelles Quilis, José Damián; Cerdá-Alberich, Leonor; Gkontra, Polyxeni; Hero, Barbara; García-Aznar, J. M.; Keim, Daniel; Jentner, Wolfgang; Seymour, Karine; Jiménez-Pastor, Ana; González-Valverde, Ismael; Martínez de las Heras, Blanca; Essiaf, Samira(Springer, 2020-04)
[EN] PRIMAGE is one of the largest and more ambitious research projects dealing with medical imaging, artificial
intelligence and cancer treatment in children. It is a 4-year European Commission-financed project that has ...