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Journal of Magnetic Resonance Imaging : JMRI
|
February 27, 2023
Editorial for "Implementable Deep Learning for Multi-sequence Proton MRI Lung Segmentation: A Multi-center, Multi-vendor and Multi-disease Study"
Amel Imene Hadj Bouzid, Gaël Dournes
The Lancet. Respiratory Medicine
|
March 5, 2026
Assessing the reversibility of bronchiectasis with deep learning
Amel Imene Hadj Bouzid, Fabien Beaufils, Patrick Berger
European Radiology
|
December 9, 2025
Quantitative CT of emphysema, wall thickness and mucus plugs in alpha-1-antitrypsin deficiency: relationship to clinical outcomes
Gaël Dournes, Amel Imene Hadj Bouzid, Klervi Doucet, et al.
Studies in Health Technology and Informatics
|
April 22, 2018
Building a Knowledge-Based Tool for Auto-Assessing the Cardiovascular Risk
Adrien Ugon, Amel Imene Hadj Bouzid, Marie-Christine Jaulent, et al.
Studies in Health Technology and Informatics
|
May 27, 2021
DIAG a Diagnostic Web Application Based on Lung CT Scan Images and Deep Learning
Amel Imene Hadj Bouzid, Said Yahiaoui, Anis Lounis, et al.
Radiology. Cardiothoracic Imaging
|
November 20, 2025
Quantitative CT Evaluation of Bronchiectasis Improvement in Cystic Fibrosis after CFTR-Modulator Therapy
Amel Imene Hadj Bouzid, Daphné Pasche, Ilyes Benlala, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
December 2, 2025
3D Automated Segmentation of Bronchial Abnormalities on Ultrashort Echo Time MRI: A Quantitative MR Outcome in Cystic Fibrosis
Amel Imene Hadj Bouzid, Ilyes Benlala, Baudouin Denis de Senneville, et al.
European Radiology
|
August 16, 2024
Artificial intelligence-driven volumetric CT outcome score in cystic fibrosis: longitudinal and multicenter validation with/without modulators treatment
Amel Imene Hadj Bouzid, Stephanie Bui, Ilyes Benlala, et al.
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Search research articles
Search
Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
Journal of Magnetic Resonance Imaging : JMRI
|
February 27, 2023
Editorial for "Implementable Deep Learning for Multi-sequence Proton MRI Lung Segmentation: A Multi-center, Multi-vendor and Multi-disease Study"
Amel Imene Hadj Bouzid, Gaël Dournes
The Lancet. Respiratory Medicine
|
March 5, 2026
Assessing the reversibility of bronchiectasis with deep learning
Amel Imene Hadj Bouzid, Fabien Beaufils, Patrick Berger
European Radiology
|
December 9, 2025
Quantitative CT of emphysema, wall thickness and mucus plugs in alpha-1-antitrypsin deficiency: relationship to clinical outcomes
Gaël Dournes, Amel Imene Hadj Bouzid, Klervi Doucet, et al.
Studies in Health Technology and Informatics
|
April 22, 2018
Building a Knowledge-Based Tool for Auto-Assessing the Cardiovascular Risk
Adrien Ugon, Amel Imene Hadj Bouzid, Marie-Christine Jaulent, et al.
Studies in Health Technology and Informatics
|
May 27, 2021
DIAG a Diagnostic Web Application Based on Lung CT Scan Images and Deep Learning
Amel Imene Hadj Bouzid, Said Yahiaoui, Anis Lounis, et al.
Radiology. Cardiothoracic Imaging
|
November 20, 2025
Quantitative CT Evaluation of Bronchiectasis Improvement in Cystic Fibrosis after CFTR-Modulator Therapy
Amel Imene Hadj Bouzid, Daphné Pasche, Ilyes Benlala, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
December 2, 2025
3D Automated Segmentation of Bronchial Abnormalities on Ultrashort Echo Time MRI: A Quantitative MR Outcome in Cystic Fibrosis
Amel Imene Hadj Bouzid, Ilyes Benlala, Baudouin Denis de Senneville, et al.
European Radiology
|
August 16, 2024
Artificial intelligence-driven volumetric CT outcome score in cystic fibrosis: longitudinal and multicenter validation with/without modulators treatment
Amel Imene Hadj Bouzid, Stephanie Bui, Ilyes Benlala, et al.
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of 1