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

Dominik Nickel

Showing results (61-70 of 227) with videos related to

Pageof 23
Sort By:
Frontiers in Oncology|April 3, 2023
Risk factors for the recurrence of cervical cancer using MR-based T1 mapping: A pilot studyJie Liu, Shujian Li, Qinchen Cao, et al.
Investigative Radiology|September 1, 2015
Novel Dynamic Hepatic Magnetic Resonance Imaging Strategy Using Advanced Parallel Acquisition, Rhythmic Breath-Hold Technique, and Gadoxetate Disodium EnhancementUte Lina Fahlenkamp, Moritz Wagner, Dominik Nickel, et al.
Journal of Magnetic Resonance Imaging : JMRI|May 31, 2017
Ultrafast dynamic contrast-enhanced mri of the breast using compressed sensing: breast cancer diagnosis based on separate visualization of breast arteries and veinsNatsuko Onishi, Masako Kataoka, Shotaro Kanao, 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.
Magma (New York, N.Y.)|September 13, 2017
A novel framework for evaluating the image accuracy of dynamic MRI and the application on accelerated breast DCE MRIYuan Le, Marcel Dominik Nickel, Stephan Kannengiesser, 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.
Magnetic Resonance Imaging|March 21, 2024
Comparative analysis of image quality and interchangeability between standard and deep learning-reconstructed T2-weighted spine MRISeungeun Lee, Joon-Yong Jung, Heeyoung Chung, et al.
AJNR. American Journal of Neuroradiology|May 28, 2026
Deep Learning-Accelerated 3D FLAIR Enables Reliable MS Lesion DetectionSébastien Verclytte, Guillaume Beaugrard, Dominik Nickel, et al.
Diagnostic and Interventional Imaging|February 4, 2023
Multiple parameters from ultrafast dynamic contrast-enhanced magnetic resonance imaging to discriminate between benign and malignant breast lesions: Comparison with apparent diffusion coefficientYing Cao, Xiaoxia Wang, Jinfang Shi, et al.
Pageof 23

Showing results (61-70 of 227) with videos related to

Sort By:
Pageof 23
Frontiers in Oncology|April 3, 2023
Risk factors for the recurrence of cervical cancer using MR-based T1 mapping: A pilot studyJie Liu, Shujian Li, Qinchen Cao, et al.
Investigative Radiology|September 1, 2015
Novel Dynamic Hepatic Magnetic Resonance Imaging Strategy Using Advanced Parallel Acquisition, Rhythmic Breath-Hold Technique, and Gadoxetate Disodium EnhancementUte Lina Fahlenkamp, Moritz Wagner, Dominik Nickel, et al.
Journal of Magnetic Resonance Imaging : JMRI|May 31, 2017
Ultrafast dynamic contrast-enhanced mri of the breast using compressed sensing: breast cancer diagnosis based on separate visualization of breast arteries and veinsNatsuko Onishi, Masako Kataoka, Shotaro Kanao, 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.
Magma (New York, N.Y.)|September 13, 2017
A novel framework for evaluating the image accuracy of dynamic MRI and the application on accelerated breast DCE MRIYuan Le, Marcel Dominik Nickel, Stephan Kannengiesser, 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.
Magnetic Resonance Imaging|March 21, 2024
Comparative analysis of image quality and interchangeability between standard and deep learning-reconstructed T2-weighted spine MRISeungeun Lee, Joon-Yong Jung, Heeyoung Chung, et al.
AJNR. American Journal of Neuroradiology|May 28, 2026
Deep Learning-Accelerated 3D FLAIR Enables Reliable MS Lesion DetectionSébastien Verclytte, Guillaume Beaugrard, Dominik Nickel, et al.
Diagnostic and Interventional Imaging|February 4, 2023
Multiple parameters from ultrafast dynamic contrast-enhanced magnetic resonance imaging to discriminate between benign and malignant breast lesions: Comparison with apparent diffusion coefficientYing Cao, Xiaoxia Wang, Jinfang Shi, et al.
Pageof 23