Fully automated 3D colon segmentation for early detection of colorectal cancer based on convex formulation of the active contour model. - Marwa Ismail; Shireen Y. Elhabian; Aly A. Farag; Gerald W. Dryden; Albert Seow (CVPR Workshops, 2012)

Towards Efficient Hardware Implementation of Elliptic and Hyperelliptic Curve Cryptography. - Marwa Ismail (2012)

Improved Colon Navigation for Efficient Polyp Detection in Virtual Colonoscopy. - Marwa Ismail; Aly A. Farag; M. Sabry Hassouna; Gerald W. Dryden; Robert Falk (Abdominal Imaging, 2013)

One-sided transparency: A novel visualization for tubular objects. - Robert Curtin; Marwa Ismail; Aly A. Farag; Chuck Sites; Salwa Elshazly; Robert Falk (ICIP, 2014)

A Novel Visualization Technique for Virtual Colonoscopy Using One-Sided Transparency. - Robert Curtin; Aly A. Farag; Salwa Elshazly; Marwa Ismail; Charles Sites; Robert Falk (ABDI@MICCAI, 2014)

A Unified Framework for Automated Colon Segmentation. - Marwa Ismail; Aly A. Farag; Salwa Elshazly; Robert Curtin; Robert Falk (ABDI@MICCAI, 2014)

Segmentation of infant brain MR images based on adaptive shape prior and higher-order MGRF. - Marwa Ismail; Mahmoud Mostapha; Ahmed Soliman 001; Matthew Nitzken; Fahmi Khalifa; Ahmed Elnakib; Georgy L. Gimel'farb; Manuel Casanova; Ayman El-Baz (ICIP, 2015)

Revamped fly-over for accurate colon visualisation in virtual colonoscopy. - Marwa Ismail; Salwa Elshzaly; Aly A. Farag; Chuck Sites; Robert Curtin; Robert Falk; Albert Seow; Gerald W. Dryden (IET Comput. Vis., 2015)

A novel automatic segmentation of healthy and diseased retinal layers from OCT scans. - Ahmed ElTanboly; Marwa Ismail; Andrew E. Switala; M. Mahmoud; Ahmed Soliman 001; T. Neyer; A. Palacio; A. Hadayer; Magdi El-Azab; Shlomit Schaal; Ayman El-Baz (ICIP, 2016)

Detection of white matter abnormalities in MR brain images for diagnosis of autism in children. - Marwa Ismail; Ahmed Soliman 001; Ahmed ElTanboly; Andrew E. Switala; Mona Mahmoud; Fahmi Khalifa; Georgy L. Gimel'farb; Manuel F. Casanova; Robert Keynton; Ayman El-Baz (ISBI, 2016)

Infant Brain Extraction in T1-Weighted MR Images Using BET and Refinement Using LCDG and MGRF Models. - Amir Alansary; Marwa Ismail; Ahmed Soliman 001; Fahmi Khalifa; Matthew Nitzken; Ahmed Elnakib; Mahmoud Mostapha; Austin Black; Katie Stinebruner; Manuel F. Casanova; Jacek M. Zurada; Ayman El-Baz (IEEE J. Biomed. Health Informatics, 2016)

A new deep-learning approach for early detection of shape variations in autism using structural mri. - Marwa Ismail; Gregory Barnes 001; Matthew Nitzken; Andrew E. Switala; Ahmed Shalaby 002; Ehsan Hosseini-Asl; Manuel Casanova; Robert Keynton; Ashraf Khalil; Ayman El-Baz (ICIP, 2017)

Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI. - Sukanya Iyer; Marwa Ismail; Benita Tamrazi; Ashley Margol; Ruchika Verma; Ramon Correa; Prateek Prasanna; Niha G. Beig; Kaustav Bera; Volodymyr Statsevych; Alexander R. Judkins; Anant Madabhushi; et al. (Computer-Aided Diagnosis, 2019)

STructural Rectal Atlas Deformation (StRAD) Features for Characterizing Intra- and Peri-wall Chemoradiation Response on MRI. - Jacob Antunes; Zhouping Wei; Charlems Álvarez Jimenez; Eduardo Romero 001; Marwa Ismail; Anant Madabhushi; Pallavi Tiwari; Satish E. Viswanath (MICCAI (4), 2019)

Combining deep and hand-crafted MRI features for identifying sex-specific differences in autism spectrum disorder versus controls. - Yashas Hiremath; Marwa Ismail; Ruchika Verma; Jacob Antunes; Pallavi Tiwari (Computer-Aided Diagnosis, 2020)

Spatial-And-Context Aware (SpACe) "Virtual Biopsy" Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI. - Marwa Ismail; Ramon Correa; Kaustav Bera; Ruchika Verma; Anas Saeed Bamashmos; Niha G. Beig; Jacob Antunes; Prateek Prasanna; Volodymyr Statsevych; Manmeet Ahluwalia; Pallavi Tiwari (MICCAI (2), 2020)

Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study. - Marwa Ismail; Virginia B. Hill; Volodymyr Statsevych; Evan Mason; Ramon Correa; Prateek Prasanna; Gagandeep Singh; Kaustav Bera; Rajat Thawani; Anant Madabhushi; Manmeet Ahluwalia; Pallavi Tiwari (CoRR, 2020)

Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma? - A Feasibility Study. - Marwa Ismail; Virginia B. Hill; Volodymyr Statsevych; Evan Mason; Ramon Correa; Prateek Prasanna; Gagandeep Singh; Kaustav Bera; Rajat Thawani; Manmeet Ahluwalia; Anant Madabhushi; Pallavi Tiwari (Frontiers Comput. Neurosci., 2020)

A radiomics approach to distinguish non-contrast enhancing tumor from vasogenic edema on multi-parametric pre-treatment MRI scans for glioblastoma tumors. - Ipsa Yadav; Marwa Ismail; Volodymyr Statsevych; Virginia B. Hill; Ramon Correa; Manmeet Ahluwalia; Pallavi Tiwari (Computer-Aided Diagnosis, 2022)

RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment. - Jacob T. Antunes; Marwa Ismail; Imran Hossain; Zhoumengdi Wang; Prateek Prasanna; Anant Madabhushi; Pallavi Tiwari; Satish E. Viswanath (IEEE J. Biomed. Health Informatics, 2022)

Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma. - Marwa Ismail; Prateek Prasanna; Kaustav Bera; Volodymyr Statsevych; Virginia B. Hill; Gagandeep Singh; Sasan Partovi; Niha G. Beig; Sean D. McGarry; Peter S. LaViolette; Manmeet Ahluwalia; Anant Madabhushi; et al. (IEEE Trans. Medical Imaging, 2022)

Graph-Radiomics Learning (GrRAiL): Application to Distinguishing Glioblastoma Recurrence from Pseudo-Progression on Structural MRI. - Dheerendranath Battalapalli; Apoorva Safai; Marwa Ismail; Virginia B. Hill; Volodymyr Statsevych; Raymond Huang; Manmeet Ahluwalia; Pallavi Tiwari (ISBI, 2024)

Development and external validation of tools for categorizing diagnosis codes in international hospital data. - Sarah L. Malecki; Anne Loffler; Daniel Tamming; Niklas Dyrby Johansen; Tor Biering-Sørensen; Michael Fralick; Shahmir Sohail; Jessica Shi 004; Surain B. Roberts; Michael Colacci; Marwa Ismail; Fahad Razak; et al. (Int. J. Medical Informatics, 2024)