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Saif Afat

Showing results (61-70 of 124) with videos related to

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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.
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)|January 21, 2022
AI Denoising Significantly Improves Image Quality in Whole-Body Low-Dose Computed Tomography StagingAndreas S Brendlin, David Plajer, Maryanna Chaika, et al.
Plos One|May 26, 2017
Endovascular stentectomy using the snare over stent-retriever (SOS) technique: An experimental feasibility studyTareq Meyer, Omid Nikoubashman, Lisa Kabelitz, et al.
Neuroradiology|May 20, 2016
Volume perfusion CT imaging of cerebral vasospasm: diagnostic performance of different perfusion mapsAhmed E Othman, Saif Afat, Omid Nikoubashman, et al.
Tomography (Ann Arbor, Mich.)|April 21, 2022
AI Denoising Significantly Enhances Image Quality and Diagnostic Confidence in Interventional Cone-Beam Computed TomographyAndreas S Brendlin, Arne Estler, David Plajer, et al.
Diagnostics (Basel, Switzerland)|September 14, 2024
Enhancing Cone-Beam CT Image Quality in TIPSS Procedures Using AI DenoisingReza Dehdab, Andreas S Brendlin, Gerd Grözinger, 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.
Diagnostics (Basel, Switzerland)|December 16, 2020
Diagnostic Performance of Different Simulated Low-Dose Levels in Patients with Suspected Cervical Abscess Using a Third-Generation Dual-Source CT ScannerMoritz T Winkelmann, Saif Afat, Sven S Walter, et al.
Pageof 13

Showing results (61-70 of 124) with videos related to

Sort By:
Pageof 13
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.
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)|January 21, 2022
AI Denoising Significantly Improves Image Quality in Whole-Body Low-Dose Computed Tomography StagingAndreas S Brendlin, David Plajer, Maryanna Chaika, et al.
Plos One|May 26, 2017
Endovascular stentectomy using the snare over stent-retriever (SOS) technique: An experimental feasibility studyTareq Meyer, Omid Nikoubashman, Lisa Kabelitz, et al.
Neuroradiology|May 20, 2016
Volume perfusion CT imaging of cerebral vasospasm: diagnostic performance of different perfusion mapsAhmed E Othman, Saif Afat, Omid Nikoubashman, et al.
Tomography (Ann Arbor, Mich.)|April 21, 2022
AI Denoising Significantly Enhances Image Quality and Diagnostic Confidence in Interventional Cone-Beam Computed TomographyAndreas S Brendlin, Arne Estler, David Plajer, et al.
Diagnostics (Basel, Switzerland)|September 14, 2024
Enhancing Cone-Beam CT Image Quality in TIPSS Procedures Using AI DenoisingReza Dehdab, Andreas S Brendlin, Gerd Grözinger, 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.
Diagnostics (Basel, Switzerland)|December 16, 2020
Diagnostic Performance of Different Simulated Low-Dose Levels in Patients with Suspected Cervical Abscess Using a Third-Generation Dual-Source CT ScannerMoritz T Winkelmann, Saif Afat, Sven S Walter, et al.
Pageof 13