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Radiological Physics and Technology
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March 28, 2026
Fast 3D whole-body occupational dose estimation in interventional radiology using physics-informed deep learning
Hussein Harb, Didier Benoit, Chi-Hieu Pham, et al.
Physics in Medicine and Biology
|
January 12, 2026
Semi-supervised learning for dose prediction in targeted radionuclide therapy: a synthetic data study
Jing Zhang, Alexandre Bousse, Chi-Hieu Pham, et al.
Journal of Radiological Protection : Official Journal of the Society for Radiological Protection
|
December 2, 2025
Fast operating room scattered radiation calculation in x-ray guided interventions by using deep learning
Hussein Harb, Mateo Villa, Didier Benoit, et al.
Journal of Radiological Protection : Official Journal of the Society for Radiological Protection
|
April 23, 2026
Fast Occupational Upper-Limb Radiation Dose Prediction Using Machine Learning and Monte Carlo Simulation
Hussein Harb, Kamilia Taguelmimt, Didier Benoit, et al.
Computer Methods and Programs in Biomedicine
|
October 21, 2023
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, et al.
Physics in Medicine and Biology
|
December 15, 2025
Machine learning-based modeling of the anode heel effect in x-ray Beam Monte Carlo simulations
Hussein Harb, Didier Benoit, Axel Rannou, et al.
Sensors (Basel, Switzerland)
|
February 28, 2023
Unsupervised Learning of Disentangled Representation via Auto-Encoding: A Survey
Ikram Eddahmani, Chi-Hieu Pham, Thibault Napoléon, 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 networks
Chi-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 MRI
Quentin Delannoy, Chi-Hieu Pham, Clément Cazorla, et al.
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Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Radiological Physics and Technology
|
March 28, 2026
Fast 3D whole-body occupational dose estimation in interventional radiology using physics-informed deep learning
Hussein Harb, Didier Benoit, Chi-Hieu Pham, et al.
Physics in Medicine and Biology
|
January 12, 2026
Semi-supervised learning for dose prediction in targeted radionuclide therapy: a synthetic data study
Jing Zhang, Alexandre Bousse, Chi-Hieu Pham, et al.
Journal of Radiological Protection : Official Journal of the Society for Radiological Protection
|
December 2, 2025
Fast operating room scattered radiation calculation in x-ray guided interventions by using deep learning
Hussein Harb, Mateo Villa, Didier Benoit, et al.
Journal of Radiological Protection : Official Journal of the Society for Radiological Protection
|
April 23, 2026
Fast Occupational Upper-Limb Radiation Dose Prediction Using Machine Learning and Monte Carlo Simulation
Hussein Harb, Kamilia Taguelmimt, Didier Benoit, et al.
Computer Methods and Programs in Biomedicine
|
October 21, 2023
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, et al.
Physics in Medicine and Biology
|
December 15, 2025
Machine learning-based modeling of the anode heel effect in x-ray Beam Monte Carlo simulations
Hussein Harb, Didier Benoit, Axel Rannou, et al.
Sensors (Basel, Switzerland)
|
February 28, 2023
Unsupervised Learning of Disentangled Representation via Auto-Encoding: A Survey
Ikram Eddahmani, Chi-Hieu Pham, Thibault Napoléon, 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 networks
Chi-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 MRI
Quentin Delannoy, Chi-Hieu Pham, Clément Cazorla, et al.
Page
of 1