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AJR. American Journal of Roentgenology
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September 15, 2021
CT in Patients With External Fixation for Complex Lower Extremity Fractures: Impact of Iterative Metal Artifact Reduction Techniques on Metal Artifact Burden and Subjective Quality
Andreas Stefan Brendlin, Christian Philipp Reinert, Heiko Baumgartner, et al.
Academic Radiology
|
February 11, 2022
Accelerated Three-dimensional T2-Weighted Turbo-Spin-Echo Sequences with Inner-Volume Excitation and Iterative Denoising in the Setting of Pelvis MRI at 1.5T: Impact on Image Quality and Lesion Detection
Haidara Almansour, Elisabeth Weiland, Bernd Kuehn, et al.
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 protocol
Judith 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
|
April 26, 2022
Comprehensive Clinical Evaluation of a Deep Learning-Accelerated, Single-Breath-Hold Abdominal HASTE at 1.5 T and 3 T
Judith Herrmann, Daniel Wessling, Dominik Nickel, et al.
Academic Radiology
|
November 21, 2023
Novel Deep Learning Denoising Enhances Image Quality and Lowers Radiation Exposure in Interventional Bronchial Artery Embolization Cone Beam CT
Andreas S Brendlin, Reza Dehdab, Benedikt Stenzl, et al.
European Radiology
|
April 27, 2026
Bowel ischemia detection on portal venous CT: multireader evaluation of dual-energy and photon-counting spectral imaging
Fiona 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 Conspicuity
Haidara Almansour, Judith Herrmann, Sebastian Gassenmaier, et al.
Academic Radiology
|
September 18, 2024
Deep Learning-Based Denoising Enables High-Quality, Fully Diagnostic Neuroradiological Trauma CT at 25% Radiation Dose
Georg Gohla, Arne Estler, Leonie Zerweck, 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 Imaging
Daniel Wessling, Judith Herrmann, Saif Afat, et al.
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of 13
Search research articles
Search
Showing results (51-60 of 124) with videos related to
Sort By:
Page
of 13
AJR. American Journal of Roentgenology
|
September 15, 2021
CT in Patients With External Fixation for Complex Lower Extremity Fractures: Impact of Iterative Metal Artifact Reduction Techniques on Metal Artifact Burden and Subjective Quality
Andreas Stefan Brendlin, Christian Philipp Reinert, Heiko Baumgartner, et al.
Academic Radiology
|
February 11, 2022
Accelerated Three-dimensional T2-Weighted Turbo-Spin-Echo Sequences with Inner-Volume Excitation and Iterative Denoising in the Setting of Pelvis MRI at 1.5T: Impact on Image Quality and Lesion Detection
Haidara Almansour, Elisabeth Weiland, Bernd Kuehn, et al.
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 protocol
Judith 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
|
April 26, 2022
Comprehensive Clinical Evaluation of a Deep Learning-Accelerated, Single-Breath-Hold Abdominal HASTE at 1.5 T and 3 T
Judith Herrmann, Daniel Wessling, Dominik Nickel, et al.
Academic Radiology
|
November 21, 2023
Novel Deep Learning Denoising Enhances Image Quality and Lowers Radiation Exposure in Interventional Bronchial Artery Embolization Cone Beam CT
Andreas S Brendlin, Reza Dehdab, Benedikt Stenzl, et al.
European Radiology
|
April 27, 2026
Bowel ischemia detection on portal venous CT: multireader evaluation of dual-energy and photon-counting spectral imaging
Fiona 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 Conspicuity
Haidara Almansour, Judith Herrmann, Sebastian Gassenmaier, et al.
Academic Radiology
|
September 18, 2024
Deep Learning-Based Denoising Enables High-Quality, Fully Diagnostic Neuroradiological Trauma CT at 25% Radiation Dose
Georg Gohla, Arne Estler, Leonie Zerweck, 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 Imaging
Daniel Wessling, Judith Herrmann, Saif Afat, et al.
Page
of 13