User profiles for A.E. Othman

Ahmed Othman

University Professor of Neuroradiology
Verified email at uni-mainz.de
Cited by 2620

Deep learning–accelerated T2-weighted imaging of the prostate: Reduction of acquisition time and improvement of image quality

…, D Nickel, M Mostapha, J Herrmann, AE Othman - European Journal of …, 2021 - Elsevier
Purpose To introduce a novel deep learning (DL) T2-weighted TSE imaging (T2 DL ) sequence
in prostate MRI and investigate its impact on examination time, image quality, diagnostic …

Dual energy computed tomography virtual monoenergetic imaging: technique and clinical applications

…, MH Albrecht, SS Martin, AE Othman… - The British journal of …, 2019 - academic.oup.com
Dual energy CT (DECT) has evolved into a commonly applied imaging technique in clinical
routine due to its unique post-processing opportunities for improved evaluation of all body …

Deep learning reconstruction for accelerated spine MRI: prospective analysis of interchangeability

…, D Nickel, M Mostapha, M Nadar, AE Othman - Radiology, 2022 - pubs.rsna.org
Background Deep learning (DL)–based MRI reconstructions can reduce examination times
for turbo spin-echo (TSE) acquisitions. Studies that prospectively employ DL-based …

[HTML][HTML] Deep learning applications in magnetic resonance imaging: has the future become present?

…, H Almansour, S Afat, K Nikolaou, AE Othman - Diagnostics, 2021 - mdpi.com
Deep learning technologies and applications demonstrate one of the most important upcoming
developments in radiology. The impact and influence of these technologies on image …

Dose reduction and image quality in photon-counting detector high-resolution computed tomography of the chest: routine clinical data

…, C Düber, Y Yang, AE Othman… - Journal of Thoracic …, 2022 - journals.lww.com
Purpose: Photon-counting detector computed tomography (PCD-CT) has the potential to
significantly improve CT imaging in many ways including, but not limited to, low-dose high-…

Diagnostic confidence and feasibility of a deep learning accelerated HASTE sequence of the abdomen in a single breath-hold

…, S Afat, A Lingg, M Kündel, AE Othman - Investigative …, 2021 - journals.lww.com
Objective The aim of this study was to evaluate the feasibility of a single breath-hold fast half-Fourier
single-shot turbo spin echo (HASTE) sequence using a deep learning …

[HTML][HTML] Accelerated T2-weighted TSE imaging of the prostate using deep learning image reconstruction: a prospective comparison with standard T2-weighted TSE …

…, J Herrmann, H Almansour, K Nikolaou, AE Othman - Cancers, 2021 - mdpi.com
Simple Summary Multiparametric magnetic resonance imaging (mpMRI) has become an
important diagnostic tool in the assessment of clinically significant prostate cancer. The …

[HTML][HTML] Feasibility and implementation of a deep learning MR reconstruction for TSE sequences in musculoskeletal imaging

…, M Nadar, S Gassenmaier, T Kuestner, AE Othman - Diagnostics, 2021 - mdpi.com
Magnetic Resonance Imaging (MRI) of the musculoskeletal system is one of the most common
examinations in clinical routine. The application of Deep Learning (DL) reconstruction for …

[HTML][HTML] Deep learning-based super-resolution gradient echo imaging of the pancreas: Improvement of image quality and reduction of acquisition time

…, H Almansour, S Männlin, AE Othman… - Diagnostic and …, 2023 - Elsevier
Purpose The purpose of this study was to evaluate the impact of a deep learning-based
super-resolution technique on T1-weighted gradient-echo acquisitions (volumetric interpolated …

[HTML][HTML] Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a …

…, M Mostapha, H Almansour, S Afat, AE Othman - European …, 2022 - Springer
Objectives The aim of this study was to evaluate the image quality and diagnostic performance
of a deep-learning (DL)–accelerated two–dimensional (2D) turbo spin echo (TSE) MRI of …