An integrated geometrical and stochastic approach for accurate infant brain extraction. - Amir Alansary; Ahmed Soliman 001; Matthew Nitzken; Fahmi Khalifa; Ahmed Elnakib; Mahmoud Mostapha; Manuel F. Casanova; Ayman El-Baz (ICIP, 2014)

A statistical framework for the classification of infant DT images. - Mahmoud Mostapha; Ahmed Soliman 001; Fahmi Khalifa; Ahmed Elnakib; Amir Alansary; Matthew Nitzken; Manuel F. Casanova; Ayman El-Baz (ICIP, 2014)

Atlas-based approach for the segmentation of infant DTI MR brain images. - Mahmoud Mostapha; Amir Alansary; Ahmed Soliman 001; Fahmi Khalifa; Matthew Nitzken; Rasha Khodeir; Manuel F. Casanova; Ayman El-Baz (ISBI, 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)

A novel framework for the segmentationof mrinfant brain images. - Mahmoud Mostapha; Manuel F. Casanova; Ayman El-Baz (ICIP, 2015)

Towards Non-invasive Image-Based Early Diagnosis of Autism. - Mahmoud Mostapha; Manuel Casanova; Georgy L. Gimel'farb; Ayman El-Baz (MICCAI (2), 2015)

Kidney segmentation from CT images using a 3D NMF-guided active contour model. - Fahmi Khalifa; Ahmed Soliman 001; Ali E. Takieldeen; Mohamed Shehata; Mahmoud Mostapha; Ahmed Shaffie; Rosemary Ouseph; Adel Elmaghraby; 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)

Brain structure in sagittal craniosynostosis. - Beatriz Paniagua; Sung Hyung Kim; Mahmoud Moustapha; Martin Styner; Heather Cody Hazlett; Rachel Gimple-Smith; Ashley Rumple; Joseph Piven; John H. Gilmore; Gary Skolnick; Kamlesh Patel (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

A segmentation editing framework based on shape change statistics. - Mahmoud Mostapha; Jared Vicory; Martin Styner; Stephen M. Pizer (Image Processing, 2017)

Non-Euclidean, convolutional learning on cortical brain surfaces. - Mahmoud Mostapha; Sun Hyung Kim; Guorong Wu 001; Leo Zsembik; Stephen M. Pizer; Martin Styner (ISBI, 2018)

SlicerSALT: Shape AnaLysis Toolbox. - Jared Vicory; Laura Pascal; Pablo Hernandez; James Fishbaugh; Juan-Carlos Prieto 001; Mahmoud Mostapha; Chao Huang 005; Hina Shah; Jun-Pyo Hong; Zhiyuan Liu 012; Loic Michoud; Jean-Christophe Fillion-Robin; et al. (ShapeMI@MICCAI, 2018)

A novel framework for the local extraction of extra-axial cerebrospinal fluid from MR brain images. - Mahmoud Mostapha; Mark D. Shen; Sun Hyung Kim; Meghan R. Swanson; D. Louis Collins; Vladimir S. Fonov; Guido Gerig; Joseph Piven; Martin A. Styner (Image Processing, 2018)

Conformal initialization for shape analysis applications in SlicerSALT. - Zhengyang Fang; Mahmoud Mostapha; Juan Prieto 001; Martin Styner (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Semi-supervised VAE-GAN for Out-of-Sample Detection Applied to MRI Quality Control. - Mahmoud Mostapha; Juan Prieto 001; Veronica Murphy; Jessica B. Girault; Mark Foster; Ashley Rumple; Joseph Blocher; Weili Lin; Jed T. Elison; John H. Gilmore; Steven M. Pizer; Martin Styner (MICCAI (3), 2019)

Model selection for spatiotemporal modeling of early childhood sub-cortical development. - James Fishbaugh; Beatriz Paniagua; Mahmoud Mostapha; Martin Styner; Veronica Murphy; John H. Gilmore; Guido Gerig (Image Processing, 2019)

Braided Networks for Scan-Aware MRI Brain Tissue Segmentation. - Mahmoud Mostapha; Boris Mailhé; Xiao Chen 013; Pascal Ceccaldi; Youngjin Yoo; Mariappan S. Nadar (ISBI, 2020)

Automatic measurement of extra-axial CSF from infant MRI data. - Arthur Le Maout; Han Bit Yoon; Sun Hyung Kim; Mahmoud Mostapha; Mark D. Shen; Juan-Carlos Prieto 001; Martin Styner (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge. - Matthew J. Muckley; Bruno Riemenschneider; Alireza Radmanesh; Sunwoo Kim; Geunu Jeong; Jingyu Ko; Yohan Jun; Hyungseob Shin; Dosik Hwang; Mahmoud Mostapha; Simon Arberet; Dominik Nickel; et al. (CoRR, 2020)

Learning from Complex Neuroimaging Datasets. - Mahmoud Mostapha (2020)

Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction. - Matthew J. Muckley; Bruno Riemenschneider; Alireza Radmanesh; Sunwoo Kim; Geunu Jeong; Jingyu Ko; Yohan Jun; Hyungseob Shin; Dosik Hwang; Mahmoud Mostapha; Simon Arberet; Dominik Nickel; et al. (IEEE Trans. Medical Imaging, 2021)

Investigating the Feasibility of Patch-Based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images. - Saikat Roy; Mahmoud Mostapha; Radu Miron 003; Matt Holbrook; Mariappan S. Nadar (ISBI, 2025)