Ahmed Soliman
Ahmed Soliman
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Cited by
Computer‐aided diagnosis systems for lung cancer: challenges and methodologies
A El-Baz, GM Beache, G Gimel′ farb, K Suzuki, K Okada, A Elnakib, ...
International journal of biomedical imaging 2013 (1), 942353, 2013
Models and methods for analyzing DCE‐MRI: A review
F Khalifa, A Soliman, A El‐Baz, M Abou El‐Ghar, T El‐Diasty, G Gimel'farb, ...
Medical physics 41 (12), 124301, 2014
Precise segmentation of 3-D magnetic resonance angiography
A El-Baz, A Elnakib, F Khalifa, M Abou El-Ghar, P McClure, A Soliman, ...
IEEE Transactions on Biomedical Engineering 59 (7), 2019-2029, 2012
Focal cortical dysplasias in autism spectrum disorders
MF Casanova, AS El-Baz, SS Kamat, BA Dombroski, F Khalifa, A Elnakib, ...
Acta neuropathologica communications 1, 1-11, 2013
Accurate lungs segmentation on CT chest images by adaptive appearance-guided shape modeling
A Soliman, F Khalifa, A Elnakib, M Abou El-Ghar, N Dunlap, B Wang, ...
IEEE transactions on medical imaging 36 (1), 263-276, 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
A personalized autism diagnosis CAD system using a fusion of structural MRI and resting-state functional MRI data
O Dekhil, M Ali, Y El-Nakieb, A Shalaby, A Soliman, A Switala, ...
Frontiers in psychiatry 10, 392, 2019
A generalized deep learning-based diagnostic system for early diagnosis of various types of pulmonary nodules
A Shaffie, A Soliman, L Fraiwan, M Ghazal, F Taher, N Dunlap, B Wang, ...
Technology in cancer research & treatment 17, 1533033818798800, 2018
A level set-based framework for 3D kidney segmentation from diffusion MR images
M Shehata, F Khalifa, A Soliman, R Alrefai, M Abou El-Ghar, AC Dwyer, ...
2015 IEEE International Conference on Image Processing (ICIP), 4441-4445, 2015
A novel gaussian scale space-based joint MGRF framework for precise lung segmentation
B Abdollahi, A Soliman, AC Civelek, XF Li, G Gimel'farb, A El-Baz
Image Processing (ICIP), 2012 19th IEEE International Conference on, 2029-2032, 2012
3D Kidney Segmentation from Abdominal Images Using Spatial‐Appearance Models
F Khalifa, A Soliman, A Elmaghraby, G Gimel’farb, A El-Baz
Computational and mathematical methods in medicine 2017 (1), 9818506, 2017
Myocardial borders segmentation from cine MR images using bidirectional coupled parametric deformable models
H Sliman, F Khalifa, A Elnakib, A Soliman, A El‐Baz, GM Beache, ...
Medical physics 40 (9), 092302, 2013
Early assessment of malignant lung nodules based on the spatial analysis of detected lung nodules
A El-Baz, A Soliman, P McClure, G Gimel'farb, MA El-Ghar, R Falk
2012 9th IEEE international symposium on biomedical imaging (ISBI), 1463-1466, 2012
A novel 3D joint MGRF framework for precise lung segmentation
B Abdollahi, A Soliman, AC Civelek, XF Li, G Gimel’farb, A El-Baz
Machine Learning in Medical Imaging: Third International Workshop, MLMI 2012 …, 2012
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
3D kidney segmentation from abdominal diffusion MRI using an appearance-guided deformable boundary
M Shehata, A Mahmoud, A Soliman, F Khalifa, M Ghazal, M Abou El-Ghar, ...
PloS one 13 (7), e0200082, 2018
A new framework for incorporating appearance and shape features of lung nodules for precise diagnosis of lung cancer
A Shaffie, A Soliman, M Ghazal, F Taher, N Dunlap, B Wang, ...
2017 IEEE International Conference on Image Processing (ICIP), 1372-1376, 2017
A new segmentation-based tracking framework for extracting the left ventricle cavity from cine cardiac MRI
H Sliman, F Khalifa, A Elnakib, GM Beache, A Elmaghraby, A El-Baz
Proceedings of IEEE International Conference on Image Processing,(ICIP’13 …, 2013
A promising non-invasive cad system for kidney function assessment
M Shehata, F Khalifa, A Soliman, MA El-Ghar, A Dwyer, G Gimel’farb, ...
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016
A new non-invasive approach for early classification of renal rejection types using diffusion-weighted MRI
M Shehata, F Khalifa, E Hollis, A Soliman, E Hosseini-Asl, ...
2016 IEEE International Conference on Image Processing (ICIP), 136-140, 2016
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