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

Andreas Lingg

Showing results (11-20 of 17) with videos related to

Pageof 2
Sort By:
You have reached the last page of results.This site can display upto 17 results.
Academic Radiology|July 27, 2023
Shortening Acquisition Time and Improving Image Quality for Pelvic MRI Using Deep Learning Reconstruction for Diffusion-Weighted Imaging at 1.5 TJudith Herrmann, Thomas Benkert, Andreas Brendlin, et al.
Investigative Radiology|October 17, 2025
Clinical Evaluation of A-LIKNet: Deep Learning-Accelerated Single-Breath-Hold CINE Magnetic Resonance Imaging for Cardiac Function AssessmentJens Kübler, Stanislau Chekan, Siying Xu, et al.
Frontiers in Radiology|November 17, 2025
High-resolution deep learning-reconstructed T2-weighted imaging for the improvement of image quality and extraprostatic extension assessment in prostate MRISebastian Gassenmaier, Franziska Katharina Staber, Stephan Ursprung, et al.
Diagnostics (Basel, Switzerland)|September 9, 2023
Faster Elbow MRI with Deep Learning Reconstruction-Assessment of Image Quality, Diagnostic Confidence, and Anatomy Visualization Compared to Standard ImagingJudith Herrmann, Saif Afat, Sebastian Gassenmaier, et al.
Magnetic Resonance in Medicine|March 20, 2026
Deep-Learning-Based Image Reconstruction to Improve End-Diastolic and Systolic Cardiac T1 MappingDaniel Amsel, Jens Wetzl, Daniel Giese, et al.
European Journal of Radiology Open|March 18, 2024
Fast 5-minute shoulder MRI protocol with accelerated TSE-sequences and deep learning image reconstruction for the assessment of shoulder pain at 1.5 and 3 TeslaJudith Herrmann, You-Shan Feng, Sebastian Gassenmaier, et al.
Journal of Medical Imaging (Bellingham, Wash.)|December 12, 2025
Application of thin-slice and accelerated T1-weighted GRE sequences in 1.5T abdominal magnetic resonance imaging using deep learning image reconstructionNatalie S Joos, Saif Afat, Marcel Dominik Nickel, et al.
Pageof 2

Showing results (11-20 of 17) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 17 results.
Academic Radiology|July 27, 2023
Shortening Acquisition Time and Improving Image Quality for Pelvic MRI Using Deep Learning Reconstruction for Diffusion-Weighted Imaging at 1.5 TJudith Herrmann, Thomas Benkert, Andreas Brendlin, et al.
Investigative Radiology|October 17, 2025
Clinical Evaluation of A-LIKNet: Deep Learning-Accelerated Single-Breath-Hold CINE Magnetic Resonance Imaging for Cardiac Function AssessmentJens Kübler, Stanislau Chekan, Siying Xu, et al.
Frontiers in Radiology|November 17, 2025
High-resolution deep learning-reconstructed T2-weighted imaging for the improvement of image quality and extraprostatic extension assessment in prostate MRISebastian Gassenmaier, Franziska Katharina Staber, Stephan Ursprung, et al.
Diagnostics (Basel, Switzerland)|September 9, 2023
Faster Elbow MRI with Deep Learning Reconstruction-Assessment of Image Quality, Diagnostic Confidence, and Anatomy Visualization Compared to Standard ImagingJudith Herrmann, Saif Afat, Sebastian Gassenmaier, et al.
Magnetic Resonance in Medicine|March 20, 2026
Deep-Learning-Based Image Reconstruction to Improve End-Diastolic and Systolic Cardiac T1 MappingDaniel Amsel, Jens Wetzl, Daniel Giese, et al.
European Journal of Radiology Open|March 18, 2024
Fast 5-minute shoulder MRI protocol with accelerated TSE-sequences and deep learning image reconstruction for the assessment of shoulder pain at 1.5 and 3 TeslaJudith Herrmann, You-Shan Feng, Sebastian Gassenmaier, et al.
Journal of Medical Imaging (Bellingham, Wash.)|December 12, 2025
Application of thin-slice and accelerated T1-weighted GRE sequences in 1.5T abdominal magnetic resonance imaging using deep learning image reconstructionNatalie S Joos, Saif Afat, Marcel Dominik Nickel, et al.
Pageof 2