Carlos Tor-Díez

Federated learning for predicting clinical outcomes in patients with COVID-19

Ittai Dayan, Holger R. Roth, Aoxiao Zhong et al. · Nature Medicine · 2021 · 720 citations · Full text

Computing, Data Science, Health Informatics +17

Multiscale brain MRI super-resolution using deep 3D convolutional networks

Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier et al. · Computerized Medical Imaging and Graphics · 2019 · 189 citations · Full text

Medicine, Neuroscience, Radiology +16

SegSRGAN: Super-resolution and segmentation using generative adversarial networks — Application to neonatal brain MRI

Quentin Delannoy, Chi-Hieu Pham, Clément Cazorla et al. · Computers in Biology and Medicine · 2020 · 93 citations · Full text

Medicine, Biomedical Engineering, Neuroscience +13

Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study

Antonio R. Porras, Kenneth N. Rosenbaum, Carlos Tor-Díez et al. · The Lancet Digital Health · 2021 · 72 citations · Full text

Computing, Computer Science, Pediatrics +17

Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge

Holger R. Roth, Ziyue Xu, Carlos Tor-Díez et al. · Medical Image Analysis · 2022 · 70 citations · Full text

Medicine, Computer Science, Radiology +14