Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Nicolas Villani

Showing results (1-10 of 11) with videos related to

Pageof 2
Sort By:
Diagnostic and Interventional Imaging|November 22, 2022
Spectral CT imaging: Technical principles of dual-energy CT and multi-energy photon-counting CTJoël Greffier, Nicolas Villani, Didier Defez, et al.
AJR. American Journal of Roentgenology|December 13, 2017
The Impact of Dose Reduction in Quantitative Kinematic CT of Ankle Joints Using a Full Model-Based Iterative Reconstruction Algorithm: A Cadaveric StudyCharles Lombard, Alban Gervaise, Nicolas Villani, et al.
European Radiology|February 1, 2019
Full model-based iterative reconstruction (MBIR) in abdominal CT increases objective image quality, but decreases subjective acceptanceGautier Laurent, Nicolas Villani, Gabriela Hossu, et al.
European Journal of Radiology|April 15, 2020
Metal artifact reduction for small metal implants on CT: Which image reconstruction algorithm performs better?Aurélie Grandmougin, Omar Bakour, Nicolas Villani, et al.
European Radiology|January 6, 2022
Clinical acceptance of deep learning reconstruction for abdominal CT imaging: objective and subjective image quality and low-contrast detectability assessmentPierre-Antoine Bornet, Nicolas Villani, Romain Gillet, et al.
Quantitative Imaging in Medicine and Surgery|October 4, 2021
Ultra-high resolution computed tomography of joints: practical recommendations for acquisition protocol optimizationPedro Augusto Gondim Teixeira, Nicolas Villani, Malik Ait Idir, et al.
European Radiology|February 22, 2022
Correction to: Clinical acceptance of deep learning reconstruction for abdominal CT imaging: objective and subjective image quality and low-contrast detectability assessmentPierre-Antoine Bornet, Nicolas Villani, Romain Gillet, et al.
The American Journal of Cardiology|August 16, 2022
Impact of Simulation-Based Training on Radiation Exposure of Young Interventional CardiologistsBatric Popovic, Jeanne Varlot, Barbara Girard-Bertrand, et al.
Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes|August 1, 2024
Effect of Matrix Size and Acquisition Mode on Image Quality and Radiation Dose of Ultra-High-Resolution CT of the Temporal Bone: An Anatomical StudyUlysse Puel, Michael Eliezer, Fatma Boubaker, et al.
Diagnostic and Interventional Imaging|February 17, 2024
Ultra-high-resolution CT of the temporal bone: Comparison between deep learning reconstruction and hybrid and model-based iterative reconstructionAchille Beysang, Nicolas Villani, Fatma Boubaker, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Diagnostic and Interventional Imaging|November 22, 2022
Spectral CT imaging: Technical principles of dual-energy CT and multi-energy photon-counting CTJoël Greffier, Nicolas Villani, Didier Defez, et al.
AJR. American Journal of Roentgenology|December 13, 2017
The Impact of Dose Reduction in Quantitative Kinematic CT of Ankle Joints Using a Full Model-Based Iterative Reconstruction Algorithm: A Cadaveric StudyCharles Lombard, Alban Gervaise, Nicolas Villani, et al.
European Radiology|February 1, 2019
Full model-based iterative reconstruction (MBIR) in abdominal CT increases objective image quality, but decreases subjective acceptanceGautier Laurent, Nicolas Villani, Gabriela Hossu, et al.
European Journal of Radiology|April 15, 2020
Metal artifact reduction for small metal implants on CT: Which image reconstruction algorithm performs better?Aurélie Grandmougin, Omar Bakour, Nicolas Villani, et al.
European Radiology|January 6, 2022
Clinical acceptance of deep learning reconstruction for abdominal CT imaging: objective and subjective image quality and low-contrast detectability assessmentPierre-Antoine Bornet, Nicolas Villani, Romain Gillet, et al.
Quantitative Imaging in Medicine and Surgery|October 4, 2021
Ultra-high resolution computed tomography of joints: practical recommendations for acquisition protocol optimizationPedro Augusto Gondim Teixeira, Nicolas Villani, Malik Ait Idir, et al.
European Radiology|February 22, 2022
Correction to: Clinical acceptance of deep learning reconstruction for abdominal CT imaging: objective and subjective image quality and low-contrast detectability assessmentPierre-Antoine Bornet, Nicolas Villani, Romain Gillet, et al.
The American Journal of Cardiology|August 16, 2022
Impact of Simulation-Based Training on Radiation Exposure of Young Interventional CardiologistsBatric Popovic, Jeanne Varlot, Barbara Girard-Bertrand, et al.
Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes|August 1, 2024
Effect of Matrix Size and Acquisition Mode on Image Quality and Radiation Dose of Ultra-High-Resolution CT of the Temporal Bone: An Anatomical StudyUlysse Puel, Michael Eliezer, Fatma Boubaker, et al.
Diagnostic and Interventional Imaging|February 17, 2024
Ultra-high-resolution CT of the temporal bone: Comparison between deep learning reconstruction and hybrid and model-based iterative reconstructionAchille Beysang, Nicolas Villani, Fatma Boubaker, et al.
Pageof 2