يعرض 1 - 4 نتائج من 4 نتيجة بحث عن '"Susu Yin"', وقت الاستعلام: 1.51s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Cardiac-DeepIED: Automatic Pixel-Level Deep Segmentation for Cardiac Bi-Ventricle Using Improved End-to-End Encoder-Decoder Network

    المؤلفون: Xiuquan Du, Susu Yin, Renjun Tang, Yanping Zhang, Shuo Li

    المصدر: IEEE Journal of Translational Engineering in Health and Medicine, Vol 7, Pp 1-10 (2019)

    مصطلحات موضوعية: CBV segmentation, deep learning, encoder-decoder, magnetic resonance images, Computer applications to medicine. Medical informatics, R858-859.7, Medical technology, R855-855.5

    وصف الملف: electronic resource

    Relation: https://ieeexplore.ieee.org/document/8651295/; https://doaj.org/toc/2168-2372

    URL الوصول: https://doaj.org/article/cabaabe8f0e44201a979d2e8c37353e3

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  2. 2
    دورية أكاديمية
    On constrained Kaczmarz algorithm with momentum for image reconstruction.

    المؤلفون: Susu Yin, Zigen Ouyang

    المصدر: Mathematical Methods in the Applied Sciences; 5/15/2024, Vol. 47 Issue 7, p6457-6470, 14p

    مصطلحات موضوعية: IMAGE reconstruction algorithms, IMAGE reconstruction, TECHNOLOGY convergence

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  3. 3
    Segmentation and visualization of left atrium through a unified deep learning framework

    المؤلفون: Yanping Zhang, Heng Liu, Yuhui Song, Yueguo Liu, Susu Yin, Renjun Tang, Xiuquan Du, Shuo Li

    المصدر: International Journal of Computer Assisted Radiology and Surgery. 15:589-600

    مصطلحات موضوعية: Computer science, Biomedical Engineering, Left atrium, Health Informatics, Deep Learning, Imaging, Three-Dimensional, Market segmentation, Discriminative model, Atrial Fibrillation, medicine, Humans, Radiology, Nuclear Medicine and imaging, Segmentation, Computer vision, Heart Atria, business.industry, Deep learning, Message passing, General Medicine, Computer Graphics and Computer-Aided Design, Computer Science Applications, Visualization, medicine.anatomical_structure, Clinical diagnosis, cardiovascular system, Surgery, Computer Vision and Pattern Recognition, Artificial intelligence, business

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8f1373be4ed64647ec68a56350bbf47
    https://doi.org/10.1007/s11548-020-02128-9

    Find this article in full text from Springer Verlag.
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  4. 4
    Cardiac-DeepIED: Automatic Pixel-Level Deep Segmentation for Cardiac Bi-Ventricle Using Improved End-to-End Encoder-Decoder Network

    المؤلفون: Renjun Tang, Yanping Zhang, Susu Yin, Xiuquan Du, Shuo Li

    المصدر: IEEE Journal of Translational Engineering in Health and Medicine
    IEEE Journal of Translational Engineering in Health and Medicine, Vol 7, Pp 1-10 (2019)

    مصطلحات موضوعية: magnetic resonance images, lcsh:Medical technology, Computer science, Biomedical Engineering, 02 engineering and technology, lcsh:Computer applications to medicine. Medical informatics, Article, 030218 nuclear medicine & medical imaging, Convolution, 03 medical and health sciences, 0302 clinical medicine, End-to-end principle, 0202 electrical engineering, electronic engineering, information engineering, Computer vision, Segmentation, Pixel, business.industry, Deep learning, CBV segmentation, encoder-decoder, deep learning, General Medicine, Image segmentation, lcsh:R855-855.5, Metric (mathematics), lcsh:R858-859.7, 020201 artificial intelligence & image processing, Artificial intelligence, business, Decoding methods

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eec9e69dd1848d654dbf26679e00a609
    http://europepmc.org/articles/PMC6442749

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