الابحاث : |
1-Anoud A Mahmoud, Hanaa A Sayed, Sara S Mohamed,
Variant Wasserstein Generative Adversarial Network Applied on Low Dose CT Image Denoising, Computers, Materials & Continua, NULL, vol. 75, no.2, NULL, https://scholar.google.com.tw/citations?view_op=view_citation&hl=en&user=2aWo9_EAAAAJ&citation_for_view=2aWo9_EAAAAJ:HGTzPopzzJcC, 2023
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2-Hanaa A Sayed, Anoud A Mahmoud, Sara S Mohamed
, 3D Magnetic Resonance Image Denoising using Wasserstein Generative Adversarial Network with Residual Encoder-Decoders and Variant Loss Functions, International Journal of Advanced Computer Science and Applications
, Science and Information (SAI) Organization Limited, 14, NULL, https://scholar.google.com.tw/citations?view_op=view_citation&hl=en&user=2aWo9_EAAAAJ&citation_for_view=2aWo9_EAAAAJ:OBSaB-F7qqsC, 2023
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