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Mahmoud Mostapha
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2020 – today
- 2021
- [j2]Matthew J. Muckley
, Bruno Riemenschneider
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction. IEEE Trans. Medical Imaging 40(9): 2306-2317 (2021) - 2020
- [b1]Mahmoud Mostapha:
Learning from Complex Neuroimaging Datasets. University of North Carolina, Chapel Hill, USA, 2020 - [c17]Mahmoud Mostapha, Boris Mailhé, Xiao Chen, Pascal Ceccaldi, Youngjin Yoo, Mariappan S. Nadar:
Braided Networks for Scan-Aware MRI Brain Tissue Segmentation. ISBI 2020: 136-139 - [c16]Arthur Le Maout, Han Bit Yoon, Sun Hyung Kim, Mahmoud Mostapha, Mark D. Shen, Juan-Carlos Prieto, Martin Styner:
Automatic measurement of extra-axial CSF from infant MRI data. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171I - [i1]Matthew J. Muckley, Bruno Riemenschneider
State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge. CoRR abs/2012.06318 (2020)
2010 – 2019
- 2019
- [c15]Zhengyang Fang, Mahmoud Mostapha, Juan Prieto, Martin Styner:
Conformal initialization for shape analysis applications in SlicerSALT. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095326 - [c14]Mahmoud Mostapha, Juan Prieto, Veronica Murphy, Jessica B. Girault, Mark Foster, Ashley Rumple, Joseph Blocher, Weili Lin, Jed T. Elison, John H. Gilmore, Steven M. Pizer, Martin Styner:
Semi-supervised VAE-GAN for Out-of-Sample Detection Applied to MRI Quality Control. MICCAI (3) 2019: 127-136 - [c13]James Fishbaugh, Beatriz Paniagua, Mahmoud Mostapha, Martin Styner, Veronica Murphy, John H. Gilmore, Guido Gerig
Model selection for spatiotemporal modeling of early childhood sub-cortical development. Image Processing 2019: 109490L - 2018
- [c12]Mahmoud Mostapha, Sun Hyung Kim, Guorong Wu, Leo Zsembik, Stephen M. Pizer, Martin Styner:
Non-Euclidean, convolutional learning on cortical brain surfaces. ISBI 2018: 527-530 - [c11]Jared Vicory, Laura Pascal, Pablo Hernandez, James Fishbaugh, Juan-Carlos Prieto, Mahmoud Mostapha, Chao Huang
SlicerSALT: Shape AnaLysis Toolbox. ShapeMI@MICCAI 2018: 65-72 - [c10]Mahmoud Mostapha, Mark D. Shen
A novel framework for the local extraction of extra-axial cerebrospinal fluid from MR brain images. Image Processing 2018: 105740V - 2017
- [c9]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
Brain structure in sagittal craniosynostosis. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101370O - [c8]Mahmoud Mostapha, Jared Vicory, Martin Styner, Stephen M. Pizer:
A segmentation editing framework based on shape change statistics. Image Processing 2017: 101331E - 2016
- [j1]Amir Alansary, Marwa Ismail, Ahmed Soliman
Infant Brain Extraction in T1-Weighted MR Images Using BET and Refinement Using LCDG and MGRF Models. IEEE J. Biomed. Health Informatics 20(3): 925-935 (2016) - [c7]Fahmi Khalifa
Kidney segmentation from CT images using a 3D NMF-guided active contour model. ISBI 2016: 432-435 - 2015
- [c6]Mahmoud Mostapha, Manuel F. Casanova, Ayman El-Baz
A novel framework for the segmentationof mrinfant brain images. ICIP 2015: 88-92 - [c5]Marwa Ismail, Mahmoud Mostapha, Ahmed Soliman
Segmentation of infant brain MR images based on adaptive shape prior and higher-order MGRF. ICIP 2015: 4327-4331 - [c4]Mahmoud Mostapha, Manuel Casanova, Georgy L. Gimel'farb
Towards Non-invasive Image-Based Early Diagnosis of Autism. MICCAI (2) 2015: 160-168 - 2014
- [c3]Mahmoud Mostapha, Ahmed Soliman
A statistical framework for the classification of infant DT images. ICIP 2014: 2222-2226 - [c2]Amir Alansary, Ahmed Soliman
An integrated geometrical and stochastic approach for accurate infant brain extraction. ICIP 2014: 3542-3546 - [c1]Mahmoud Mostapha, Amir Alansary, Ahmed Soliman
Atlas-based approach for the segmentation of infant DTI MR brain images. ISBI 2014: 1255-1258
Coauthor Index
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