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Titlebook: Machine Learning for Medical Image Reconstruction; Third International Farah Deeba,Patricia Johnson,Jong Chul Ye Conference proceedings 20

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AutoSyncoder: An Adversarial AutoEncoder Framework for Multimodal MRI Synthesise our proposed AutoSyncoder network in a GAN and cyclic GAN setting, and evaluate on the BRATS-15 multimodal glioma dataset. A PSNR ranging between 29 to 30.5 dB, and SSIM over 0.88 is achieved for all the modalities, with simplistic training, thereby establishing the potential of our approach.
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Conference proceedings 2020n conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually...The 15 papers presented were carefully reviewed and selected from 18 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learni
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https://doi.org/10.1007/978-3-030-61598-7artificial intelligence; bioinformatics; computer vision; deep learning; image analysis; image processing
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978-3-030-61597-0Springer Nature Switzerland AG 2020
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lich gegliederten Stichwortbeschreibungen eine schnelle und dennoch umfassende Information zu allen Themen der Klinischen Chemie (inkl. Gerinnung, Hämatologie, Infektionsserologie, Transfusionsmedizi978-3-642-12921-6
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