A computer‐aided diagnostic system for detecting diabetic retinopathy in optical coherence tomography images A ElTanboly, M Ismail, A Shalaby, A Switala, A El‐Baz, S Schaal, ... Medical physics 44 (3), 914-923, 2017 | 163 | 2017 |
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 | 163 | 2016 |
Radiogenomic-based survival risk stratification of tumor habitat on Gd-T1w MRI is associated with biological processes in glioblastoma N Beig, K Bera, P Prasanna, J Antunes, R Correa, S Singh, ... Clinical Cancer Research 26 (8), 1866-1876, 2020 | 104 | 2020 |
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 | 101 | 2015 |
Shape features of the lesion habitat to differentiate brain tumor progression from pseudoprogression on routine multiparametric MRI: a multisite study M Ismail, V Hill, V Statsevych, R Huang, P Prasanna, R Correa, G Singh, ... American Journal of Neuroradiology 39 (12), 2187-2193, 2018 | 87 | 2018 |
Detection of white matter abnormalities in MR brain images for diagnosis of autism in children M Ismail, A Soliman, A ElTanboly, A Switala, M Mahmoud, F Khalifa, ... 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 6-9, 2016 | 44 | 2016 |
A fast stochastic framework for automatic MR brain images segmentation M Ismail, A Soliman, M Ghazal, AE Switala, G Gimel’farb, GN Barnes, ... PloS one 12 (11), e0187391, 2017 | 41 | 2017 |
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 | 41 | 2015 |
A new deep-learning approach for early detection of shape variations in autism using structural mri M Ismail, G Barnes, M Nitzken, A Switala, A Shalaby, E Hosseini-Asl, ... 2017 IEEE International Conference on Image Processing (ICIP), 1057-1061, 2017 | 35 | 2017 |
A novel CAD system for autism diagnosis using structural and functional MRI O Dekhil, M Ismail, A Shalaby, A Switala, A Elmaghraby, R Keynton, ... 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 27 | 2017 |
A novel automatic segmentation of healthy and diseased retinal layers from OCT scans A El Tanboly, M Ismail, A Switala, M Mahmoud, A Soliman, T Neyer, ... 2016 IEEE International Conference on Image Processing (ICIP), 116-120, 2016 | 25 | 2016 |
Radiomics-based convolutional neural network for brain tumor segmentation on multiparametric magnetic resonance imaging P Prasanna, A Karnawat, M Ismail, A Madabhushi, P Tiwari Journal of Medical Imaging 6 (2), 024005-024005, 2019 | 20 | 2019 |
Radiomic deformation and textural heterogeneity (r-depth) descriptor to characterize tumor field effect: Application to survival prediction in glioblastoma M Ismail, P Prasanna, K Bera, V Statsevych, V Hill, G Singh, S Partovi, ... IEEE transactions on medical imaging 41 (7), 1764-1777, 2022 | 16 | 2022 |
Fully automated 3D colon segmentation for early detection of colorectal cancer based on convex formulation of the active contour model M Ismail, S Elhabian, A Farag, G Dryden, A Seow 2012 IEEE Computer Society Conference on Computer Vision and Pattern …, 2012 | 13 | 2012 |
Prostate segmentation using deformable model-based methods: A review I Reda, M Elmogy, A Aboulfotouh, M Ismail, A El-Baz, R Keynton Biomedical Image Segmentation, 313-332, 2016 | 12 | 2016 |
Opportunities and Advances in Radiomics and Radiogenomics for Pediatric Medulloblastoma Tumors M Ismail, S Craig, R Ahmed, P de Blank, P Tiwari Diagnostics 13 (17), 2727, 2023 | 7 | 2023 |
A CAD System for Early Diagnosis of Autism Using Different Imaging Modalities MMT Ismail University of Louisville, 2016 | 7 | 2016 |
Novel MRI deformation-heterogeneity radiomic features are associated with molecular subgroups and overall survival in pediatric medulloblastoma: Preliminary findings from a … S Iyer, M Ismail, B Tamrazi, R Salloum, P de Blank, A Margol, R Correa, ... Frontiers in Oncology 12, 915143, 2022 | 6 | 2022 |
Combining deep and hand-crafted MRI features for identifying sex-specific differences in autism spectrum disorder versus controls Y Hiremath, M Ismail, R Verma, J Antunes, P Tiwari Medical Imaging 2020: Computer-Aided Diagnosis 11314, 445-451, 2020 | 6 | 2020 |
A novel automated method for the objective quantication of retinal layers reveals sequential changes that occur in the normal retina with age S Schaal, A ElTanboly, M Ismail, A Switala, A Shalaby, A Hadayer, ... Frontiers in Nanoscience and Nanotechnolog 2 (5), 184-189, 2016 | 6 | 2016 |