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Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.

M. Muckley, B. Riemenschneider, A. Radmanesh, S. Kim, G. Jeong, J. Ko, Y. Jun, H. Shin, D. Hwang, M. Mostapha, S. Arberet, D. Nickel, Z. Ramzi, P. Ciuciu, J. Starck, J. Teuwen, D. Karkalousos, C. Zhang, A. Sriram, Z. Huang, N. Yakubova, Y. Lui, and F. Knoll. IEEE Trans. Medical Imaging, 40 (9): 2306-2317 (2021)

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Mahmoud Mahmoud

Mahmoud Mohamed Mahmoud

Mahmoud Saleh Mahmoud Mohamed

Mahmoud Mohamed Mahmoud Ahmad

Mahmoud Mohamed Shawky Mahmoud

Other publications of authors with the same name

Atlas-based approach for the segmentation of infant DTI MR brain images.M. Mostapha, A. Alansary, A. Soliman, F. Khalifa, M. Nitzken, R. Khodeir, M. Casanova, and A. El-Baz. ISBI, page 1255-1258. IEEE, (2014)Kidney segmentation from CT images using a 3D NMF-guided active contour model.F. Khalifa, A. Soliman, A. Takieldeen, M. Shehata, M. Mostapha, A. Shaffie, R. Ouseph, A. Elmaghraby, and A. El-Baz. ISBI, page 432-435. IEEE, (2016)A segmentation editing framework based on shape change statistics.M. Mostapha, J. Vicory, M. Styner, and S. Pizer. Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 101331E. SPIE, (2017)Conformal initialization for shape analysis applications in SlicerSALT.Z. Fang, M. Mostapha, J. Prieto, and M. Styner. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10953 of SPIE Proceedings, page 1095326. SPIE, (2019)An integrated geometrical and stochastic approach for accurate infant brain extraction.A. Alansary, A. Soliman, M. Nitzken, F. Khalifa, A. Elnakib, M. Mostapha, M. Casanova, and A. El-Baz. ICIP, page 3542-3546. IEEE, (2014)A novel framework for the segmentationof mrinfant brain images.M. Mostapha, M. Casanova, and A. El-Baz. ICIP, page 88-92. IEEE, (2015)Towards Non-invasive Image-Based Early Diagnosis of Autism.M. Mostapha, M. Casanova, G. Gimel'farb, and A. El-Baz. MICCAI (2), volume 9350 of Lecture Notes in Computer Science, page 160-168. Springer, (2015)A statistical framework for the classification of infant DT images.M. Mostapha, A. Soliman, F. Khalifa, A. Elnakib, A. Alansary, M. Nitzken, M. Casanova, and A. El-Baz. ICIP, page 2222-2226. IEEE, (2014)Model selection for spatiotemporal modeling of early childhood sub-cortical development.J. Fishbaugh, B. Paniagua, M. Mostapha, M. Styner, V. Murphy, J. Gilmore, and G. Gerig. Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490L. SPIE, (2019)Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.M. Muckley, B. Riemenschneider, A. Radmanesh, S. Kim, G. Jeong, J. Ko, Y. Jun, H. Shin, D. Hwang, M. Mostapha and 13 other author(s). IEEE Trans. Medical Imaging, 40 (9): 2306-2317 (2021)

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Disambiguation of "Mostapha, Mahmoud"

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Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.

Please choose a person to relate this publication to

Mahmoud Mahmoud

Mahmoud Mohamed Mahmoud

Mahmoud Saleh Mahmoud Mohamed

Mahmoud Mohamed Mahmoud Ahmad

Mahmoud Mohamed Shawky Mahmoud

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Mostapha, Mahmoud"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.

Please choose a person to relate this publication to

Mahmoud Mahmoud

Mahmoud Mohamed Mahmoud

Mahmoud Saleh Mahmoud Mohamed

Mahmoud Mohamed Mahmoud Ahmad

Mahmoud Mohamed Shawky Mahmoud

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
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Chicago
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Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.