Marwa Ismail
Orcid: 0000-0002-1396-0372
According to our database1,
Marwa Ismail
authored at least 21 papers
between 2012 and 2022.
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Bibliography
2022
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma.
IEEE Trans. Medical Imaging, 2022
RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment.
IEEE J. Biomed. Health Informatics, 2022
A radiomics approach to distinguish non-contrast enhancing tumor from vasogenic edema on multi-parametric pre-treatment MRI scans for glioblastoma tumors.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
2020
Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma? - A Feasibility Study.
Frontiers Comput. Neurosci., 2020
Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study.
CoRR, 2020
Spatial-And-Context Aware (SpACe) "Virtual Biopsy" Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Combining deep and hand-crafted MRI features for identifying sex-specific differences in autism spectrum disorder versus controls.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
STructural Rectal Atlas Deformation (StRAD) Features for Characterizing Intra- and Peri-wall Chemoradiation Response on MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2017
A new deep-learning approach for early detection of shape variations in autism using structural mri.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
2016
Infant Brain Extraction in T1-Weighted MR Images Using BET and Refinement Using LCDG and MGRF Models.
IEEE J. Biomed. Health Informatics, 2016
Detection of white matter abnormalities in MR brain images for diagnosis of autism in children.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
A novel automatic segmentation of healthy and diseased retinal layers from OCT scans.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
2015
IET Comput. Vis., 2015
Segmentation of infant brain MR images based on adaptive shape prior and higher-order MGRF.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
2014
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014
A Novel Visualization Technique for Virtual Colonoscopy Using One-Sided Transparency.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013
2012
Towards Efficient Hardware Implementation of Elliptic and Hyperelliptic Curve Cryptography.
PhD thesis, 2012
Fully automated 3D colon segmentation for early detection of colorectal cancer based on convex formulation of the active contour model.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012