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Andreas Lingg

Showing results (1-10 of 17) with videos related to

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Diagnostics (Basel, Switzerland)|December 24, 2021
Clinical Evaluation of an Abbreviated Contrast-Enhanced Whole-Body MRI for Oncologic Follow-Up ImagingJudith Herrmann, Saif Afat, Andreas Brendlin, et al.
Diagnostics (Basel, Switzerland)|October 28, 2023
Image Quality and Diagnostic Performance of Accelerated 2D Hip MRI with Deep Learning Reconstruction Based on a Deep Iterative Hierarchical NetworkJudith Herrmann, Saif Afat, Sebastian Gassenmaier, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|January 14, 2025
Attention incorporated network for sharing low-rank, image and k-space information during MR image reconstruction to achieve single breath-hold cardiac Cine imagingSiying Xu, Kerstin Hammernik, Andreas Lingg, et al.
Magnetic Resonance in Medicine|October 18, 2025
Multi-Frame Image Registration for Automated Ventricular Function Assessment in Single Breath-Hold Cine MRI Using Limited LabelsAya Ghoul, Paxstan Cassal Paulson, Andreas Lingg, et al.
Investigative Radiology|January 3, 2020
Performance of an Automated Workflow for Magnetic Resonance Imaging of the Prostate: Comparison With a Manual WorkflowMichael Esser, Dominik Zinsser, Matthias Kündel, 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.
IEEE Transactions on Medical Imaging|August 1, 2024
Attention-Aware Non-Rigid Image Registration for Accelerated MR ImagingAya Ghoul, Jiazhen Pan, Andreas Lingg, et al.
European Journal of Radiology|July 3, 2023
Accelerated diffusion-weighted imaging of the prostate using deep learning image reconstruction: A retrospective comparison with standard diffusion-weighted imagingStephan Ursprung, Judith Herrmann, Natalie Joos, et al.
IEEE Transactions on Medical Imaging|May 23, 2025
Self-Supervised Feature Learning for Cardiac Cine MR Image ReconstructionSiying Xu, Marcel Fruh, Kerstin Hammernik, 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.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Diagnostics (Basel, Switzerland)|December 24, 2021
Clinical Evaluation of an Abbreviated Contrast-Enhanced Whole-Body MRI for Oncologic Follow-Up ImagingJudith Herrmann, Saif Afat, Andreas Brendlin, et al.
Diagnostics (Basel, Switzerland)|October 28, 2023
Image Quality and Diagnostic Performance of Accelerated 2D Hip MRI with Deep Learning Reconstruction Based on a Deep Iterative Hierarchical NetworkJudith Herrmann, Saif Afat, Sebastian Gassenmaier, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|January 14, 2025
Attention incorporated network for sharing low-rank, image and k-space information during MR image reconstruction to achieve single breath-hold cardiac Cine imagingSiying Xu, Kerstin Hammernik, Andreas Lingg, et al.
Magnetic Resonance in Medicine|October 18, 2025
Multi-Frame Image Registration for Automated Ventricular Function Assessment in Single Breath-Hold Cine MRI Using Limited LabelsAya Ghoul, Paxstan Cassal Paulson, Andreas Lingg, et al.
Investigative Radiology|January 3, 2020
Performance of an Automated Workflow for Magnetic Resonance Imaging of the Prostate: Comparison With a Manual WorkflowMichael Esser, Dominik Zinsser, Matthias Kündel, 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.
IEEE Transactions on Medical Imaging|August 1, 2024
Attention-Aware Non-Rigid Image Registration for Accelerated MR ImagingAya Ghoul, Jiazhen Pan, Andreas Lingg, et al.
European Journal of Radiology|July 3, 2023
Accelerated diffusion-weighted imaging of the prostate using deep learning image reconstruction: A retrospective comparison with standard diffusion-weighted imagingStephan Ursprung, Judith Herrmann, Natalie Joos, et al.
IEEE Transactions on Medical Imaging|May 23, 2025
Self-Supervised Feature Learning for Cardiac Cine MR Image ReconstructionSiying Xu, Marcel Fruh, Kerstin Hammernik, 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.
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