Ayman S. El-Baz, Ph.D.
Affiliations: | 2006 | University of Louisville, Louisville, KY, United States |
Area:
Biomedical EngineeringGoogle:
"Ayman El-Baz"Parents
Sign in to add mentor| Aly A. Farag | grad student | 2006 | University of Louisville | |
| (Novel stochastic models for medical image analysis.) | ||||
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Publications
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| Haggag S, Khalifa F, Abdeltawab H, et al. (2021) An Automated CAD System for Accurate Grading of Uveitis Using Optical Coherence Tomography Images. Sensors (Basel, Switzerland). 21 |
| Shaban M, Ogur Z, Mahmoud A, et al. (2020) A convolutional neural network for the screening and staging of diabetic retinopathy. Plos One. 15: e0233514 |
| Dekhil O, Ali M, Haweel R, et al. (2020) A Comprehensive Framework for Differentiating Autism Spectrum Disorder From Neurotypicals by Fusing Structural MRI and Resting State Functional MRI. Seminars in Pediatric Neurology. 34: 100805 |
| Hammouda K, Khalifa F, Abdeltawab H, et al. (2020) A New Framework for Performing Cardiac Strain Analysis from Cine MRI Imaging in Mice. Scientific Reports. 10: 7725 |
| Abdeltawab H, Khalifa F, Taher F, et al. (2020) A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 81: 101717 |
| Alkadi R, Taher F, El-Baz A, et al. (2020) A Deep Learning-Based Approach for the Detection and Localization of Prostate Cancer in T2 Magnetic Resonance Images. Journal of Digital Imaging. 32: 793-807 |
| Taher F, Soliman A, Kandil H, et al. (2020) Accurate Segmentation of Cerebrovasculature From TOF-MRA Images Using Appearance Descriptors Ieee Access. 8: 96139-96149 |
| Ghazal M, Ali SS, Mahmoud AH, et al. (2020) Accurate Detection of Non-Proliferative Diabetic Retinopathy in Optical Coherence Tomography Images Using Convolutional Neural Networks Ieee Access. 8: 34387-34397 |
| Kandil H, Soliman A, Taher F, et al. (2019) A novel computer-aided diagnosis system for the early detection of hypertension based on cerebrovascular alterations. Neuroimage. Clinical. 25: 102107 |
| Kandil H, Soliman A, Ghazal M, et al. (2019) A Novel Framework for Early Detection of Hypertension using Magnetic Resonance Angiography. Scientific Reports. 9: 11105 |