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

Saif Afat

Showing results (31-40 of 124) with videos related to

Pageof 13
Sort By:
European Journal of Radiology|May 16, 2026
Artificial intelligence denoising in cardiac photon-counting CT: mitigating BMI-related noise degradation while maintaining clinical interchangeabilityLisa Urban, Josephine Berger, Jan M Brendel, et al.
Japanese Journal of Radiology|June 12, 2024
Evaluating ChatGPT-4V in chest CT diagnostics: a critical image interpretation assessmentReza Dehdab, Andreas Brendlin, Sebastian Werner, et al.
Investigative Radiology|September 12, 2021
Analysis of a Deep Learning-Based Superresolution Algorithm Tailored to Partial Fourier Gradient Echo Sequences of the Abdomen at 1.5 T: Reduction of Breath-Hold Time and Improvement of Image QualitySaif Afat, Daniel Wessling, Carmen Afat, et al.
Investigative Radiology|March 1, 2021
Image Quality Improvement of Dynamic Contrast-Enhanced Gradient Echo Magnetic Resonance Imaging by Iterative Denoising and Edge EnhancementSebastian Gassenmaier, Judith Herrmann, Dominik Nickel, et al.
Investigative Radiology|February 24, 2021
Deep Learning-Based Superresolution Reconstruction for Upper Abdominal Magnetic Resonance Imaging: An Analysis of Image Quality, Diagnostic Confidence, and Lesion ConspicuityHaidara Almansour, Sebastian Gassenmaier, Dominik Nickel, et al.
European Journal of Radiology|July 16, 2024
Deep-learning denoising minimizes radiation exposure in neck CT beyond the limits of conventional reconstructionDavid Plajer, Marlene Hahn, Marianna Chaika, et al.
Investigative Radiology|November 19, 2020
Diagnostic Confidence and Feasibility of a Deep Learning Accelerated HASTE Sequence of the Abdomen in a Single Breath-HoldJudith Herrmann, Sebastian Gassenmaier, Dominik Nickel, et al.
La Radiologia Medica|February 22, 2023
Prospective intraindividual comparison of a standard 2D TSE MRI protocol for ankle imaging and a deep learning-based 2D TSE MRI protocol with a scan time reduction of 48Gabriel Keller, Arne Estler, Judith Herrmann, et al.
Diagnostics (Basel, Switzerland)|August 29, 2024
Optimizing Image Quality with High-Resolution, Deep-Learning-Based Diffusion-Weighted Imaging in Breast Cancer Patients at 1.5 TSusann-Cathrin Olthof, Elisabeth Weiland, Thomas Benkert, et al.
European Journal of Radiology|January 3, 2024
Towards safer imaging: A comparative study of deep learning-based denoising and iterative reconstruction in intraindividual low-dose CT scans using an in-vivo large animal modelJonas Mück, Elisa Reiter, Wilfried Klingert, et al.
Pageof 13

Showing results (31-40 of 124) with videos related to

Sort By:
Pageof 13
European Journal of Radiology|May 16, 2026
Artificial intelligence denoising in cardiac photon-counting CT: mitigating BMI-related noise degradation while maintaining clinical interchangeabilityLisa Urban, Josephine Berger, Jan M Brendel, et al.
Japanese Journal of Radiology|June 12, 2024
Evaluating ChatGPT-4V in chest CT diagnostics: a critical image interpretation assessmentReza Dehdab, Andreas Brendlin, Sebastian Werner, et al.
Investigative Radiology|September 12, 2021
Analysis of a Deep Learning-Based Superresolution Algorithm Tailored to Partial Fourier Gradient Echo Sequences of the Abdomen at 1.5 T: Reduction of Breath-Hold Time and Improvement of Image QualitySaif Afat, Daniel Wessling, Carmen Afat, et al.
Investigative Radiology|March 1, 2021
Image Quality Improvement of Dynamic Contrast-Enhanced Gradient Echo Magnetic Resonance Imaging by Iterative Denoising and Edge EnhancementSebastian Gassenmaier, Judith Herrmann, Dominik Nickel, et al.
Investigative Radiology|February 24, 2021
Deep Learning-Based Superresolution Reconstruction for Upper Abdominal Magnetic Resonance Imaging: An Analysis of Image Quality, Diagnostic Confidence, and Lesion ConspicuityHaidara Almansour, Sebastian Gassenmaier, Dominik Nickel, et al.
European Journal of Radiology|July 16, 2024
Deep-learning denoising minimizes radiation exposure in neck CT beyond the limits of conventional reconstructionDavid Plajer, Marlene Hahn, Marianna Chaika, et al.
Investigative Radiology|November 19, 2020
Diagnostic Confidence and Feasibility of a Deep Learning Accelerated HASTE Sequence of the Abdomen in a Single Breath-HoldJudith Herrmann, Sebastian Gassenmaier, Dominik Nickel, et al.
La Radiologia Medica|February 22, 2023
Prospective intraindividual comparison of a standard 2D TSE MRI protocol for ankle imaging and a deep learning-based 2D TSE MRI protocol with a scan time reduction of 48Gabriel Keller, Arne Estler, Judith Herrmann, et al.
Diagnostics (Basel, Switzerland)|August 29, 2024
Optimizing Image Quality with High-Resolution, Deep-Learning-Based Diffusion-Weighted Imaging in Breast Cancer Patients at 1.5 TSusann-Cathrin Olthof, Elisabeth Weiland, Thomas Benkert, et al.
European Journal of Radiology|January 3, 2024
Towards safer imaging: A comparative study of deep learning-based denoising and iterative reconstruction in intraindividual low-dose CT scans using an in-vivo large animal modelJonas Mück, Elisa Reiter, Wilfried Klingert, et al.
Pageof 13