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Carlos Tor-Díez
Carlos Tor-Díez
Postdoctoral research fellow
Verified email at childrensnational.org
Title
Cited by
Cited by
Year
Federated learning for predicting clinical outcomes in patients with COVID-19
I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ...
Nature medicine 27 (10), 1735-1743, 2021
4112021
Multiscale brain MRI super-resolution using deep 3D convolutional networks
CH Pham, C Tor-Díez, H Meunier, N Bednarek, R Fablet, N Passat, ...
Computerized Medical Imaging and Graphics 77, 101647, 2019
1342019
SegSRGAN: Super-resolution and segmentation using generative adversarial networks—Application to neonatal brain MRI
Q Delannoy, CH Pham, C Cazorla, C Tor-Díez, G Dollé, H Meunier, ...
Computers in Biology and Medicine 120, 103755, 2020
602020
Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge
HR Roth, Z Xu, C Tor-Díez, RS Jacob, J Zember, J Molto, W Li, S Xu, ...
Medical image analysis 82, 102605, 2022
572022
Federated Learning used for predicting outcomes in SARS-COV-2 patients
M Flores, I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, ...
Research Square, 2021
472021
Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study
AR Porras, K Rosenbaum, C Tor-Diez, M Summar, MG Linguraru
The Lancet Digital Health 3 (10), e635-e643, 2021
402021
An iterative multi-atlas patch-based approach for cortex segmentation from neonatal MRI
C Tor-Díez, N Passat, I Bloch, S Faisan, N Bednarek, F Rousseau
Computerized Medical Imaging and Graphics 70, 73-82, 2018
182018
Simultaneous super-resolution and segmentation using a generative adversarial network: Application to neonatal brain MRI
CH Pham, C Tor-Díez, H Meunier, N Bednarek, R Fablet, N Passat, ...
132019
Unsupervised MRI homogenization: application to pediatric anterior visual pathway segmentation
C Tor-Diez, AR Porras, RJ Packer, RA Avery, MG Linguraru
Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020
122020
Facial analysis technology for the detection of Down syndrome in the Democratic Republic of the Congo
AR Porras, MS Bramble, KMB Amoti, C Dakande, H Manya, N Vashist, ...
European Journal of Medical Genetics 64 (9), 104267, 2021
52021
Evaluation of cortical segmentation pipelines on clinical neonatal MRI data
C Tor-Díez, CH Pham, H Meunier, S Faisan, I Bloch, N Bednarek, ...
22019
SegSRGAN: A software solution for super-resolution and segmentation using generative adversarial networks–Application to neonatal brain MRI
Q Delannoy, CH Pham, C Cazorla, C Tor-Díez, G Dollé, H Meunier, ...
12019
DIPG-48. MRI volumetric and machine learning based analyses predict survival outcome in pediatric diffuse midline glioma
ER Bonner, X Liu, C Tor-Diez, M Kambhampati, A Eze, RJ Packer, ...
Neuro-Oncology 24 (Suppl 1), i29, 2022
2022
A machine learning-based screening tool for genetic syndromes in children–Authors' reply
AR Porras, K Rosenbaum, C Tor-Diez, M Summar, MG Linguraru
The Lancet Digital Health 4 (5), e296, 2022
2022
Federated Learning for Predicting Clinical Outcomes in COVID-19 Patients
I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, AB Costa, ...
Nature Medicine, 2021
2021
Federated Learning used for predicting outcomes in SARS-COV-2 patients (preprint)
M Flores, I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, ...
2020
Réseaux antagonistes génératifs pour la reconstruction super-résolution et la segmentation en IRM
Q Delannoy, CH Pham, C Cazorla, C Tor-Díez, G Dollé, H Meunier, ...
Extraction et Gestion des Connaissances-Atelier Apprentissage Profond …, 2020
2020
Automatic segmentation of the cortical surface in neonatal brain MRI
C Tor-Díez
Ecole nationale supérieure Mines-Télécom Atlantique, 2019
2019
Super-résolution et segmentation simultanées d’IRM cérébrales néonatales par réseaux antagonistes génératifs
CH Pham, C Tor-Díez, H Meunier, N Bednarek, R Fablet, N Passat, ...
Congrès National d’Imagerie du Vivant (CNIV), 2019
2019
Multilabel, multiscale topological transformation for cerebral MRI segmentation post-processing
C Tor-Díez, S Faisan, L Mazo, N Bednarek, H Meunier, I Bloch, N Passat, ...
Mathematical Morphology and Its Applications to Signal and Image Processing …, 2019
2019
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