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Carlos Tor-Díez

Showing results (1-10 of 6) with videos related to

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Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|October 9, 2018
An iterative multi-atlas patch-based approach for cortex segmentation from neonatal MRICarlos Tor-Díez, Nicolas Passat, Isabelle Bloch, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|September 8, 2019
Multiscale brain MRI super-resolution using deep 3D convolutional networksChi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, et al.
Computers in Biology and Medicine|May 19, 2020
SegSRGAN: Super-resolution and segmentation using generative adversarial networks - Application to neonatal brain MRIQuentin Delannoy, Chi-Hieu Pham, Clément Cazorla, et al.
Neuro-Oncology Advances|October 22, 2024
Tumor volume features predict survival outcomes for patients diagnosed with diffuse intrinsic pontine gliomaD'Andre Spencer, Erin R Bonner, Carlos Tor-Díez, et al.
Medical Image Analysis|September 26, 2022
Rapid artificial intelligence solutions in a pandemic-The COVID-19-20 Lung CT Lesion Segmentation ChallengeHolger R Roth, Ziyue Xu, Carlos Tor-Díez, et al.
Nature Medicine|September 16, 2021
Federated learning for predicting clinical outcomes in patients with COVID-19Ittai Dayan, Holger R Roth, Aoxiao Zhong, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|October 9, 2018
An iterative multi-atlas patch-based approach for cortex segmentation from neonatal MRICarlos Tor-Díez, Nicolas Passat, Isabelle Bloch, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|September 8, 2019
Multiscale brain MRI super-resolution using deep 3D convolutional networksChi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, et al.
Computers in Biology and Medicine|May 19, 2020
SegSRGAN: Super-resolution and segmentation using generative adversarial networks - Application to neonatal brain MRIQuentin Delannoy, Chi-Hieu Pham, Clément Cazorla, et al.
Neuro-Oncology Advances|October 22, 2024
Tumor volume features predict survival outcomes for patients diagnosed with diffuse intrinsic pontine gliomaD'Andre Spencer, Erin R Bonner, Carlos Tor-Díez, et al.
Medical Image Analysis|September 26, 2022
Rapid artificial intelligence solutions in a pandemic-The COVID-19-20 Lung CT Lesion Segmentation ChallengeHolger R Roth, Ziyue Xu, Carlos Tor-Díez, et al.
Nature Medicine|September 16, 2021
Federated learning for predicting clinical outcomes in patients with COVID-19Ittai Dayan, Holger R Roth, Aoxiao Zhong, et al.
Pageof 1