Carlos Tor-Díez

According to our database, Carlos Tor-Díez authored at least 9 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

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

Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, Ramon Sánchez-Jacob, Jonathan Zember, Jose Molto, Wenqi Li, Sheng Xu, Baris Turkbey, Evrim Turkbey, Dong Yang, Ahmed Harouni, Nicola Rieke, Shishuai Hu, Fabian Isensee, Claire Tang, Qinji Yu, Jan Sölter, Tong Zheng, Vitali Liauchuk, Ziqi Zhou, Jan Hendrik Moltz, Bruno Oliveira, Yong Xia, Klaus H. Maier-Hein, Qikai Li, Andreas Husch, Luyang Zhang, Vassili Kovalev, Li Kang, Alessa Hering, João L. Vilaça, Mona Flores, Daguang Xu, Bradford J. Wood, Marius George Linguraru

Medical Image Anal., 2022

2020

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

Quentin Delannoy, Chi-Hieu Pham, Clément Cazorla, Carlos Tor-Díez, Guillaume Dollé, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau

Comput. Biol. Medicine, 2020

Unsupervised MRI Homogenization: Application to Pediatric Anterior Visual Pathway Segmentation.

Carlos Tor-Díez, Antonio Reyes Porras, Roger J. Packer, Robert A. Avery, Marius George Linguraru

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019

Automatic segmentation of the cortical surface in neonatal brain MRI. (Segmentation automatique de la surface corticale dans des IRM cérébrales des nouveaux-nés).

Carlos Tor-Díez

PhD thesis, 2019

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

Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau

Comput. Medical Imaging Graph., 2019

Multilabel, Multiscale Topological Transformation for Cerebral MRI Segmentation Post-processing.

Carlos Tor-Díez, Sylvain Faisan, Loïc Mazo, Nathalie Bednarek, Hélène Meunier, Isabelle Bloch, Nicolas Passat, François Rousseau

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2019

Simultaneous Super-Resolution and Segmentation Using a Generative Adversarial Network: Application to Neonatal Brain MRI.

Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Evaluation of cortical segmentation pipelines on clinical neonatal MRI data.

Carlos Tor-Díez, Chi-Hieu Pham, Hélène Meunier, Sylvain Faisan, Isabelle Bloch, Nathalie Bednarek, Nicolas Passat, François Rousseau

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

An iterative multi-atlas patch-based approach for cortex segmentation from neonatal MRI.

Carlos Tor-Díez, Nicolas Passat, Isabelle Bloch, Sylvain Faisan, Nathalie Bednarek, François Rousseau

Comput. Medical Imaging Graph., 2018