Cerdà Alberich, Leonor; Sangüesa Nebot, Cinta; Alberich-Bayarri, Angel; Carot Sierra, José Miguel; Martinez de las Heras, Blanca; Veiga Canuto, Diana; Cañete, Adela; Martí-Bonmatí, Luis(MDPI AG, 2020-12)
[EN] There is growing interest in applying quantitative diffusion techniques to magnetic resonance imaging for cancer diagnosis and treatment. These measurements are used as a surrogate marker of tumor cellularity and ...
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] 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, ...