Auflistung Universitätsbibliographie nach Autor "Othman, Ahmed"

Anzeige der Dokumente 21-40 von 105

Crossed cerebellar diaschisis in acute ischemic stroke: Impact on morphologic and functional outcome

Kunz, Wolfgang G.; Sommer, Wieland H.; Hoehne, Christopher; Fabritius, Matthias P.; Schuler, Felix; Dorn, Franziska; Othman, Ahmed E.; Meinel, Felix G.; von Baumgarten, Louisa; Reiser, Maximilian F.; Ertl-Wagner, Birgit; Thierfelder, Kolja M. (2017)
CT imaging of bone and bone marrow infiltration in malignant melanoma-Challenges and limitations for clinical staging in comparison to 18FDG-PET/CT

Bier, Georg; Hoffmann, Vera; Kloth, Christopher; Othman, Ahmed E.; Eigentler, Thomas; Garbe, Claus; La Fougere, Christian; Pfannenberg, Christina; Nikolaou, Konstantin; Klumpp, Bernhard (2016)
Deep Learning Applications in Magnetic Resonance Imaging: Has the Future Become Present?

Gassenmaier, Sebastian; Kuestner, Thomas; Nickel, Dominik; Herrmann, Judith; Hoffmann, Ruediger; Almansour, Haidara; Afat, Saif; Nikolaou, Konstantin; Othman, Ahmed E. (2021)
Deep Learning Reconstruction for Accelerated Spine MRI: Prospective Analysis of Interchangeability

Almansour, Haidara; Herrmann, Judith; Gassenmaier, Sebastian; Afat, Saif; Jacoby, Johann; Koerzdoerfer, Gregor; Nickel, Dominik; Mostapha, Mahmoud; Nadar, Mariappan; Othman, Ahmed E. (2023)
Deep learning-accelerated T2-weighted imaging of the prostate: Reduction of acquisition time and improvement of image quality

Gassenmaier, Sebastian; Afat, Saif; Nickel, Dominik; Mostapha, Mahmoud; Herrmann, Judith; Othman, Ahmed E. (2021)
Deep learning-based super-resolution gradient echo imaging of the pancreas: Improvement of image quality and reduction of acquisition time

Chaika, Maryanna; Afat, Saif; Wessling, Daniel; Afat, Carmen; Nickel, Dominik; Kannengiesser, Stephan; Herrmann, Judith; Almansour, Haidara; Maennlin, Simon; Othman, Ahmed E.; Gassenmaier, Sebastian (2023)
Deep Learning-Based Superresolution Reconstruction for Upper Abdominal Magnetic Resonance Imaging An Analysis of Image Quality, Diagnostic Confidence, and Lesion Conspicuity

Almansour, Haidara; Gassenmaier, Sebastian; Nickel, Dominik; Kannengiesser, Stephan; Afat, Saif; Weiss, Jakob; Hoffmann, Rudiger; Othman, Ahmed E. (2021)
Development and Evaluation of Deep Learning-Accelerated Single-Breath-Hold Abdominal HASTE at 3 T Using Variable Refocusing Flip Angles

Herrmann, Judith; Nickel, Dominik; Mugler, John P.; Arberet, Simon; Gassenmaier, Sebastian; Afat, Saif; Nikolaou, Konstantin; Othman, Ahmed E. (2021)
Diagnostic Accuracy of Simulated Low-Dose Perfusion CT to Detect Cerebral Perfusion Impairment after Aneurysmal Subarachnoid Hemorrhage: A Retrospective Analysis

Afat, Saif; Brockmann, Carolin; Nikoubashman, Omid; Mueller, Marguerite; Thierfelder, Kolja M.; Brockmann, Marc A.; Nikolaou, Konstantin; Wiesmann, Martin; Kim, Jong Hyo; Othman, Ahmed E. (2018)
Diagnostic Confidence and Feasibility of a Deep Learning Accelerated HASTE Sequence of the Abdomen in a Single Breath-Hold

Herrmann, Judith; Gassenmaier, Sebastian; Nickel, Dominik; Arberet, Simon; Afat, Saif; Lingg, Andreas; Kundel, Matthias; Othman, Ahmed E. (2021)
Diagnostic Performance of a Contrast-Enhanced Ultra-Low-Dose High-Pitch CT Protocol with Reduced Scan Range for Detection of Pulmonary Embolisms

Brendlin, Andreas S.; Winkelmann, Moritz T.; Peisen, Felix; Artzner, Christoph P.; Nikolaou, Konstantin; Othman, Ahmed E.; Afat, Saif (2021)
Diagnostic Performance of Different Simulated Low-Dose Levels in Patients with Suspected Cervical Abscess Using a Third-Generation Dual-Source CT Scanner

Winkelmann, Moritz T.; Afat, Saif; Walter, Sven S.; Stock, Eva; Schwarze, Vincent; Brendlin, Andreas; Kolb, Manuel; Artzner, Christoph P.; Othman, Ahmed E. (2020)
Diagnostic Performance of Whole-Body Ultra-Low-Dose CT for Detection of Mechanical Ventriculoperitoneal Shunt Complications: A Retrospective Analysis

Afat, S.; Pjontek, R.; Nikoubashman, O.; Kunz, W. G.; Brockmann, M. A.; Ridwan, H.; Wiesmann, M.; Clusmann, H.; Othman, A. E.; Hamou, H. A. (2022)
Dose Reduction and Dose Management in Computed Tomography - State of the Art

Zinsser, Dominik; Marcus, Roy; Othman, Ahmed E.; Bamberg, Fabian; Nikolaou, Konstantin; Flohr, Thomas; Notohamiprodjo, Mike (2018)
Dual energy computed tomography virtual monoenergetic imaging : technique and clinical applications

D'Angelo, Tommaso; Cicero, Giuseppe; Mazziotti, Silvio; Ascent, Giorgio; Albrecht, Moritz H.; Martin, Simon S.; Othman, Ahmed E.; Vogl, Thomas J.; Wichmann, Julian L. (2019)
Dual-Energy Computed Tomography of the Lung in COVID-19 Patients: Mismatch of Perfusion Defects and Pulmonary Opacities

Afat, Saif; Othman, Ahmed E.; Nikolaou, Konstantin; Gassenmaier, Sebastian (2020)
Early Imaging Prediction of Malignant Cerebellar Edema Development in Acute Ischemic Stroke

Fabritius, Matthias P.; Thierfelder, Kolja M.; Meinel, Felix G.; Othman, Ahmed E.; Dorn, Franziska; Sabel, Bastian O.; Scheffler, Pierre; Ertl-Wagner, Birgit; Sommer, Wieland H.; Kunz, Wolfgang G. (2017)
Early Tumor Size Reduction of at least 10% at the First Follow-Up Computed Tomography Can Predict Survival in the Setting of Advanced Melanoma and Immunotherapy

Almansour, Haidara; Afat, Saif; Serna-Higuita, Lina Maria; Amaral, Teresa; Schraag, Amadeus; Peisen, Felix; Brendlin, Andreas; Seith, Ferdinand; Klumpp, Bernhard; Eigentler, Thomas K.; Othman, Ahmed E. (2022)
Effect of a novel denoising technique on image quality and diagnostic accuracy in low-dose CT in patients with suspected appendicitis

Kolb, Manuel; Storz, Corinna; Kim, Jong Hyo; Weiss, Jakob; Afat, Saif; Nikolaou, Konstantin; Bamberg, Fabian; Othman, Ahmed E. (2019)
Effect of Noise-Optimized Monoenergetic Postprocessing on Diagnostic Accuracy for Detecting Incidental Pulmonary Embolism in Portal-Venous Phase Dual-Energy Computed Tomography

Weiss, Jakob; Notohamiprodjo, Mike; Schabel, Christoph; Mangold, Stefanie; Nikolaou, Konstantin; Bamberg, Fabian; Othman, Ahmed E.; Bongers, Malte Niklas (2017)

Anzeige der Dokumente 21-40 von 105

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Auflistung Universitätsbibliographie nach Autor "Othman, Ahmed"

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