| Deep learning–accelerated T2-weighted imaging of the prostate: Reduction of acquisition time and improvement of image quality S Gassenmaier, S Afat, D Nickel, M Mostapha, J Herrmann, AE Othman European Journal of Radiology 137, 109600, 2021 | 114 | 2021 |
| Deep learning applications in magnetic resonance imaging: has the future become present? S Gassenmaier, T Küstner, D Nickel, J Herrmann, R Hoffmann, ... Diagnostics 11 (12), 2181, 2021 | 82 | 2021 |
| Diagnostic confidence and feasibility of a deep learning accelerated HASTE sequence of the abdomen in a single breath-hold J Herrmann, S Gassenmaier, D Nickel, S Arberet, S Afat, A Lingg, ... Investigative radiology 56 (5), 313-319, 2021 | 79 | 2021 |
| Accelerated T2-weighted TSE imaging of the prostate using deep learning image reconstruction: a prospective comparison with standard T2-weighted TSE imaging S Gassenmaier, S Afat, MD Nickel, M Mostapha, J Herrmann, ... Cancers 13 (14), 3593, 2021 | 69 | 2021 |
| Deep learning reconstruction for accelerated spine MRI: prospective analysis of interchangeability H Almansour, J Herrmann, S Gassenmaier, S Afat, J Jacoby, ... Radiology 306 (3), e212922, 2022 | 65 | 2022 |
| Radiation dose reduction in perfusion CT imaging of the brain: A review of the literature AE Othman, S Afat, MA Brockmann, O Nikoubashman, C Brockmann, ... Journal of Neuroradiology 43 (1), 1-5, 2016 | 60 | 2016 |
| Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol J Herrmann, G Keller, S Gassenmaier, D Nickel, G Koerzdoerfer, ... European Radiology 32 (9), 6215-6229, 2022 | 46 | 2022 |
| Deep learning-based super-resolution gradient echo imaging of the pancreas: Improvement of image quality and reduction of acquisition time M Chaika, S Afat, D Wessling, C Afat, D Nickel, S Kannengiesser, ... Diagnostic and interventional imaging 104 (2), 53-59, 2023 | 41 | 2023 |
| Analysis of a deep learning-based superresolution algorithm tailored to partial fourier gradient echo sequences of the abdomen at 1.5 T: reduction of breath-hold time and … S Afat, D Wessling, C Afat, D Nickel, S Arberet, J Herrmann, AE Othman, ... Investigative Radiology 57 (3), 157-162, 2022 | 37 | 2022 |
| Application of a novel iterative denoising and image enhancement technique in T1-weighted precontrast and postcontrast gradient echo imaging of the abdomen: improvement of … S Gassenmaier, S Afat, D Nickel, S Kannengiesser, J Herrmann, ... Investigative Radiology 56 (5), 328-334, 2021 | 37 | 2021 |
| A Machine learning model trained on dual-energy CT radiomics significantly improves immunotherapy response prediction for patients with stage IV melanoma AS Brendlin, F Peisen, H Almansour, S Afat, T Eigentler, T Amaral, S Faby, ... Journal for immunotherapy of cancer 9 (11), 2021 | 37 | 2021 |
| Development and evaluation of deep learning-accelerated single-breath-hold abdominal HASTE at 3 T using variable refocusing flip angles J Herrmann, D Nickel, JP Mugler III, S Arberet, S Gassenmaier, S Afat, ... Investigative Radiology 56 (10), 645-652, 2021 | 36 | 2021 |
| Deep learning-based superresolution reconstruction for upper abdominal magnetic resonance imaging: an analysis of image quality, diagnostic confidence, and lesion conspicuity H Almansour, S Gassenmaier, D Nickel, S Kannengiesser, S Afat, J Weiss, ... Investigative radiology 56 (8), 509-516, 2021 | 34 | 2021 |
| Diagnostic accuracy of simulated low-dose perfusion CT to detect cerebral perfusion impairment after aneurysmal subarachnoid hemorrhage: a retrospective analysis S Afat, C Brockmann, O Nikoubashman, M Müller, KM Thierfelder, ... Radiology 287 (2), 643-650, 2018 | 30 | 2018 |
| Effects of radiation dose reduction in Volume Perfusion CT imaging of acute ischemic stroke AE Othman, C Brockmann, Z Yang, C Kim, S Afat, R Pjontek, ... European radiology 25, 3415-3422, 2015 | 30 | 2015 |
| Acquisition time reduction of diffusion-weighted liver imaging using deep learning image reconstruction S Afat, J Herrmann, H Almansour, T Benkert, E Weiland, T Hölldobler, ... Diagnostic and interventional imaging 104 (4), 178-184, 2023 | 28 | 2023 |
| Image quality improvement of dynamic contrast-enhanced gradient echo magnetic resonance imaging by iterative denoising and edge enhancement S Gassenmaier, J Herrmann, D Nickel, S Kannengiesser, S Afat, F Seith, ... Investigative Radiology 56 (7), 465-470, 2021 | 28 | 2021 |
| Effect of a novel denoising technique on image quality and diagnostic accuracy in low-dose CT in patients with suspected appendicitis M Kolb, C Storz, JH Kim, J Weiss, S Afat, K Nikolaou, F Bamberg, ... European Journal of Radiology 116, 198-204, 2019 | 28 | 2019 |
| Impact of image denoising on image quality, quantitative parameters and sensitivity of ultra-low-dose volume perfusion CT imaging AE Othman, C Brockmann, Z Yang, C Kim, S Afat, R Pjontek, ... European radiology 26, 167-174, 2016 | 28 | 2016 |
| Baseline clinical and imaging predictors of treatment response and overall survival of patients with metastatic melanoma undergoing immunotherapy A Schraag, B Klumpp, S Afat, S Gatidis, K Nikolaou, TK Eigentler, ... European journal of radiology 121, 108688, 2019 | 27 | 2019 |
Ahmed OthmanUniversity Professor of NeuroradiologyEmail verificata su uni-mainz.de