| 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 | 293 | 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 | 165 | 2016 |
| 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 | 113 | 2021 |
| 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 | 104 | 2015 |
| 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 | 77 | 2016 |
| Role of deep learning in infant brain MRI analysis M Mostapha, M Styner Magnetic resonance imaging 64, 171-189, 2019 | 73 | 2019 |
| 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 |
| 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 | 66 | 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 |
| 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, 2013 | 65 | 2013 |
| 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 |
| 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, ... | 46 | 2020 |
| 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 | 42 | 2015 |
| 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 | 40 | 2014 |
| 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 | 37 | 2018 |
| 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 | 30 | 2021 |
| 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 | 26 | 2013 |
| 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 | 22 | 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 | 21 | 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 | 16 | 2013 |
Ayman El-BazProf. and Chair of Bioengineering Department, Distinguished University Scholar, FEmail được xác minh tại louisville.edu