Mahmoud Mostapha
Mahmoud Mostapha
Siemens Healthineers
Verified email at - Homepage
Cited by
Cited by
Results of the 2020 fastMRI challenge for machine learning MR image reconstruction
MJ Muckley, B Riemenschneider, A Radmanesh, S Kim, G Jeong, J Ko, ...
IEEE transactions on medical imaging 40 (9), 2306-2317, 2021
Studying autism spectrum disorder with structural and diffusion magnetic resonance imaging: a survey
MMT Ismail, RS Keynton, MMMO Mostapha, AH ElTanboly, MF Casanova, ...
Frontiers in human neuroscience 10, 211, 2016
Infant brain extraction in T1-weighted MR images using BET and refinement using LCDG and MGRF models
A Alansary, M Ismail, A Soliman, F Khalifa, M Nitzken, A Elnakib, ...
IEEE journal of biomedical and health informatics 20 (3), 925-935, 2015
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
Kidney segmentation from CT images using a 3D NMF-guided active contour model
F Khalifa, A Soliman, A Takieldeen, M Shehata, M Mostapha, A Shaffie, ...
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 432-435, 2016
Role of deep learning in infant brain MRI analysis
M Mostapha, M Styner
Magnetic resonance imaging 64, 171-189, 2019
Computer-aided diagnosis systems for acute renal transplant rejection: Challenges and methodologies
M Mostapha, F Khalifa, A Alansary, A Soliman, J Suri, AS El-Baz
Abdomen and Thoracic Imaging: An Engineering & Clinical Perspective, 1-35, 2014
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
Feasibility and implementation of a deep learning MR reconstruction for TSE sequences in musculoskeletal imaging
J Herrmann, G Koerzdoerfer, D Nickel, M Mostapha, M Nadar, ...
Diagnostics 11 (8), 1484, 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
Segmentation of infant brain MR images based on adaptive shape prior and higher-order MGRF
M Ismail, M Mostapha, A Soliman, M Nitzken, F Khalifa, A Elnakib, ...
2015 IEEE International Conference on Image Processing (ICIP), 4327-4331, 2015
State-of-the-art machine learning MRI reconstruction in 2020: Results of the second fastMRI challenge
MJ Muckley, B Riemenschneider, A Radmanesh, S Kim, G Jeong, J Ko, ...
arXiv preprint arXiv:2012.06318 2 (6), 7, 2020
A statistical framework for the classification of infant DT images
M Mostapha, A Soliman, F Khalifa, A Elnakib, A Alansary, M Nitzken, ...
2014 IEEE International Conference on Image Processing (ICIP), 2222-2226, 2014
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
Slicersalt: Shape analysis toolbox
J Vicory, L Pascal, P Hernandez, J Fishbaugh, J Prieto, M Mostapha, ...
Shape in Medical Imaging: International Workshop, ShapeMI 2018, Held in …, 2018
MAP-based framework for segmentation of MR brain images based on visual appearance and prior shape
A Alansary, A Soliman, F Khalifa, A Elnakib, M Mostapha, M Nitzken, ...
MIDAS J 1 (1), 2013
Deep learning-accelerated T2-weighted imaging of the prostate: Impact of further acceleration with lower spatial resolution on image quality
EH Kim, MH Choi, YJ Lee, D Han, M Mostapha, D Nickel
European Journal of Radiology 145, 110012, 2021
An integrated geometrical and stochastic approach for accurate infant brain extraction
A Alansary, A Soliman, M Nitzken, F Khalifa, A Elnakib, M Mostapha, ...
2014 IEEE International Conference on Image Processing (ICIP), 3542-3546, 2014
Towards non-invasive image-based early diagnosis of autism
M Mostapha, MF Casanova, G Gimel’farb, A El-Baz
Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015
Dynamic MRI-based computer aided diagnostic systems for early detection of kidney transplant rejection: A survey
M Mostapha, F Khalifa, A Alansary, A Soliman, G Gimel'farb, A El-Baz
AIP Conference Proceedings 1559 (1), 297-306, 2013
The system can't perform the operation now. Try again later.
Articles 1–20