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Saif Afat

Showing results (41-50 of 124) with videos related to

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Frontiers in Radiology|May 15, 2026
Deep learning-based denoising in cardiac CT: effects on image quality, calcium scoring interchangeability, and reporting workflowDaniel Wessling, Jan Magnus, Jan M Brendel, et al.
Academic Radiology|February 16, 2023
Deep Learning MRI Reconstruction for Accelerating Turbo Spin Echo Hand and Wrist Imaging: A Comparison of Image Quality, Visualization of Anatomy, and Detection of Common Pathologies with Standard ImagingJudith Herrmann, Sebastian Gassenmaier, Gabriel Keller, et al.
Cancers|July 24, 2021
Accelerated T2-Weighted TSE Imaging of the Prostate Using Deep Learning Image Reconstruction: A Prospective Comparison with Standard T2-Weighted TSE ImagingSebastian Gassenmaier, Saif Afat, Marcel Dominik Nickel, et al.
Tomography (Ann Arbor, Mich.)|January 25, 2022
AI Lung Segmentation and Perfusion Analysis of Dual-Energy CT Can Help to Distinguish COVID-19 Infiltrates from Visually Similar Immunotherapy-Related Pneumonitis Findings and Can Optimize Radiological WorkflowsAndreas S Brendlin, Markus Mader, Sebastian Faby, et al.
Diagnostics (Basel, Switzerland)|August 7, 2021
Diagnostic Performance of a Contrast-Enhanced Ultra-Low-Dose High-Pitch CT Protocol with Reduced Scan Range for Detection of Pulmonary EmbolismsAndreas S Brendlin, Moritz T Winkelmann, Felix Peisen, 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.
European Journal of Radiology|June 3, 2019
Effect of a novel denoising technique on image quality and diagnostic accuracy in low-dose CT in patients with suspected appendicitisManuel Kolb, Corinna Storz, Jong Hyo Kim, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|April 2, 2025
Deep learning-based reconstruction and superresolution for MR-guided thermal ablation of malignant liver lesionsMoritz T Winkelmann, Jens Kübler, Sebastian Gassenmaier, et al.
Academic Radiology|August 9, 2025
LLM-Based Extraction of Imaging Features from Radiology Reports: Automating Disease Activity Scoring in Crohn's DiseaseReza Dehdab, Fiona Mankertz, Jan Michael Brendel, et al.
Investigative Radiology|May 9, 2021
Development and Evaluation of Deep Learning-Accelerated Single-Breath-Hold Abdominal HASTE at 3 T Using Variable Refocusing Flip AnglesJudith Herrmann, Dominik Nickel, John P Mugler, et al.
Pageof 13

Showing results (41-50 of 124) with videos related to

Sort By:
Pageof 13
Frontiers in Radiology|May 15, 2026
Deep learning-based denoising in cardiac CT: effects on image quality, calcium scoring interchangeability, and reporting workflowDaniel Wessling, Jan Magnus, Jan M Brendel, et al.
Academic Radiology|February 16, 2023
Deep Learning MRI Reconstruction for Accelerating Turbo Spin Echo Hand and Wrist Imaging: A Comparison of Image Quality, Visualization of Anatomy, and Detection of Common Pathologies with Standard ImagingJudith Herrmann, Sebastian Gassenmaier, Gabriel Keller, et al.
Cancers|July 24, 2021
Accelerated T2-Weighted TSE Imaging of the Prostate Using Deep Learning Image Reconstruction: A Prospective Comparison with Standard T2-Weighted TSE ImagingSebastian Gassenmaier, Saif Afat, Marcel Dominik Nickel, et al.
Tomography (Ann Arbor, Mich.)|January 25, 2022
AI Lung Segmentation and Perfusion Analysis of Dual-Energy CT Can Help to Distinguish COVID-19 Infiltrates from Visually Similar Immunotherapy-Related Pneumonitis Findings and Can Optimize Radiological WorkflowsAndreas S Brendlin, Markus Mader, Sebastian Faby, et al.
Diagnostics (Basel, Switzerland)|August 7, 2021
Diagnostic Performance of a Contrast-Enhanced Ultra-Low-Dose High-Pitch CT Protocol with Reduced Scan Range for Detection of Pulmonary EmbolismsAndreas S Brendlin, Moritz T Winkelmann, Felix Peisen, 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.
European Journal of Radiology|June 3, 2019
Effect of a novel denoising technique on image quality and diagnostic accuracy in low-dose CT in patients with suspected appendicitisManuel Kolb, Corinna Storz, Jong Hyo Kim, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|April 2, 2025
Deep learning-based reconstruction and superresolution for MR-guided thermal ablation of malignant liver lesionsMoritz T Winkelmann, Jens Kübler, Sebastian Gassenmaier, et al.
Academic Radiology|August 9, 2025
LLM-Based Extraction of Imaging Features from Radiology Reports: Automating Disease Activity Scoring in Crohn's DiseaseReza Dehdab, Fiona Mankertz, Jan Michael Brendel, et al.
Investigative Radiology|May 9, 2021
Development and Evaluation of Deep Learning-Accelerated Single-Breath-Hold Abdominal HASTE at 3 T Using Variable Refocusing Flip AnglesJudith Herrmann, Dominik Nickel, John P Mugler, et al.
Pageof 13