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Judith Herrmann

Showing results (31-40 of 59) with videos related to

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European Radiology|April 7, 2022
Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocolJudith Herrmann, Gabriel Keller, Sebastian Gassenmaier, et al.
Diagnostics (Basel, Switzerland)|December 24, 2021
Deep Learning Applications in Magnetic Resonance Imaging: Has the Future Become Present?Sebastian Gassenmaier, Thomas Küstner, Dominik Nickel, et al.
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.
European Radiology|April 27, 2026
Bowel ischemia detection on portal venous CT: multireader evaluation of dual-energy and photon-counting spectral imagingFiona Mankertz, Josephine Berger, Nour Maalouf, et al.
Academic Radiology|July 9, 2022
Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion ConspicuityHaidara Almansour, Judith Herrmann, Sebastian Gassenmaier, et al.
Diagnostics (Basel, Switzerland)|October 27, 2022
Application of a Deep Learning Algorithm for Combined Super-Resolution and Partial Fourier Reconstruction Including Time Reduction in T1-Weighted Precontrast and Postcontrast Gradient Echo Imaging of Abdominopelvic MR ImagingDaniel Wessling, Judith Herrmann, Saif Afat, et al.
European Radiology|December 6, 2022
Background enhancement in contrast-enhanced spectral mammography (CESM): are there qualitative and quantitative differences between imaging systems?Daniel Wessling, Simon Männlin, Ricarda Schwarz, et al.
Radiology|November 1, 2022
Deep Learning Reconstruction for Accelerated Spine MRI: Prospective Analysis of InterchangeabilityHaidara Almansour, Judith Herrmann, Sebastian Gassenmaier, et al.
Diagnostics (Basel, Switzerland)|July 27, 2022
Assessing the Accuracy of an Artificial Intelligence-Based Segmentation Algorithm for the Thoracic Aorta in Computed Tomography ApplicationsChristoph Artzner, Malte N Bongers, Rainer Kärgel, 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.
Pageof 6

Showing results (31-40 of 59) with videos related to

Sort By:
Pageof 6
European Radiology|April 7, 2022
Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocolJudith Herrmann, Gabriel Keller, Sebastian Gassenmaier, et al.
Diagnostics (Basel, Switzerland)|December 24, 2021
Deep Learning Applications in Magnetic Resonance Imaging: Has the Future Become Present?Sebastian Gassenmaier, Thomas Küstner, Dominik Nickel, et al.
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.
European Radiology|April 27, 2026
Bowel ischemia detection on portal venous CT: multireader evaluation of dual-energy and photon-counting spectral imagingFiona Mankertz, Josephine Berger, Nour Maalouf, et al.
Academic Radiology|July 9, 2022
Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion ConspicuityHaidara Almansour, Judith Herrmann, Sebastian Gassenmaier, et al.
Diagnostics (Basel, Switzerland)|October 27, 2022
Application of a Deep Learning Algorithm for Combined Super-Resolution and Partial Fourier Reconstruction Including Time Reduction in T1-Weighted Precontrast and Postcontrast Gradient Echo Imaging of Abdominopelvic MR ImagingDaniel Wessling, Judith Herrmann, Saif Afat, et al.
European Radiology|December 6, 2022
Background enhancement in contrast-enhanced spectral mammography (CESM): are there qualitative and quantitative differences between imaging systems?Daniel Wessling, Simon Männlin, Ricarda Schwarz, et al.
Radiology|November 1, 2022
Deep Learning Reconstruction for Accelerated Spine MRI: Prospective Analysis of InterchangeabilityHaidara Almansour, Judith Herrmann, Sebastian Gassenmaier, et al.
Diagnostics (Basel, Switzerland)|July 27, 2022
Assessing the Accuracy of an Artificial Intelligence-Based Segmentation Algorithm for the Thoracic Aorta in Computed Tomography ApplicationsChristoph Artzner, Malte N Bongers, Rainer Kärgel, 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.
Pageof 6