Chi-Hieu Pham

According to our database, Chi-Hieu Pham authored at least 12 papers between 2017 and 2024.

Collaborative distances:

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

2024

Extension of physical activity recognition with 3D CNN using encrypted multiple sensory data to federated learning based on multi-key homomorphic encryption.

Chi-Hieu Pham, Thien Huynh-The, Ehsan Sedgh Gooya, Marwa El Bouz, Ayman Alfalou

Comput. Methods Programs Biomed., January, 2024

2023

Unsupervised Learning of Disentangled Representation via Auto-Encoding: A Survey.

Ikram Eddahmani, Chi-Hieu Pham, Thibault Napoléon, Isabelle Badoc, Jean-Rassaire Fouefack, Marwa El Bouz

Sensors, February, 2023

Privacy Preserving Encoder Classifier for Access Control Based on Face Recognition.

Raghida El Saj, Chi-Hieu Pham, Ehsan Sedgh Gooya, Ayman Alfalou, Mohamad Khalil

Proceedings of the Twelfth International Conference on Image Processing Theory, 2023

2022

PCA-AE: Principal Component Analysis Autoencoder for Organising the Latent Space of Generative Networks.

Chi-Hieu Pham, Saïd Ladjal, Alasdair Newson

J. Math. Imaging Vis., 2022

2020

PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks.

Chi-Hieu Pham, Saïd Ladjal, Alasdair Newson

CoRR, 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

2019

A PCA-like Autoencoder.

Saïd Ladjal, Alasdair Newson, Chi-Hieu Pham

CoRR, 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

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

Deep learning for medical image super resolution and segmentation. (Apprentisage profond pour la super-résolution et la segmentation d'images médicales).

Chi-Hieu Pham

PhD thesis, 2018

2017

Brain MRI super-resolution using deep 3D convolutional networks.

Chi-Hieu Pham, Aurélien Ducournau, Ronan Fablet, François Rousseau

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017