يعرض 1 - 10 نتائج من 179 نتيجة بحث عن '"Dynamic MR imaging"', وقت الاستعلام: 1.11s تنقيح النتائج
  1. 1
    مؤتمر
    Deep Unrolling Shrinkage Network for Dynamic MR Imaging

    المؤلفون: Zhang, Yinghao, Li, Xiaodi, Li, Weihang, Hu, Yue

    المصدر: 2023 IEEE International Conference on Image Processing (ICIP) Image Processing (ICIP), 2023 IEEE International Conference on. :1145-1149 Oct, 2023

    Relation: 2023 IEEE International Conference on Image Processing (ICIP)

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  2. 2
    مؤتمر
    Online reconstruction of fast dynamic MR imaging using deep low-rank plus sparse network

    المؤلفون: Wang, Che, Jia, Sen, Yan, Zhonghong, Zheng, Yijia, Liu, Shaonan, Wang, Haifeng, Liang, Dong, Zhu, Yanjie

    المصدر: 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS) CBMS Computer-Based Medical Systems (CBMS), 2022 IEEE 35th International Symposium on. :166-170 Jul, 2022

    Relation: 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS)

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  3. 3
    دورية أكاديمية
    Learned Low-Rank Priors in Dynamic MR Imaging

    المؤلفون: Ke, Z., Huang, W., Cui, Z., Cheng, J., Jia, S., Wang, H., Liu, X., Zheng, H., Ying, L., Zhu, Y., Liang, D.

    المصدر: IEEE Transactions on Medical Imaging IEEE Trans. Med. Imaging Medical Imaging, IEEE Transactions on. 40(12):3698-3710 Dec, 2021

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  4. 4
    دورية أكاديمية
    Deep Manifold Learning for Dynamic MR Imaging

    المؤلفون: Ke, Z., Cui, Z., Huang, W., Cheng, J., Jia, S., Ying, L., Zhu, Y., Liang, D.

    المصدر: IEEE Transactions on Computational Imaging IEEE Trans. Comput. Imaging Computational Imaging, IEEE Transactions on. 7:1314-1327 2021

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  5. 5
    دورية أكاديمية
    Dynamic MR Image Reconstruction From Highly Undersampled (k, t)-Space Data Exploiting Low Tensor Train Rank and Sparse Prior

    المؤلفون: Ma, S., Du, H., Mei, W.

    المصدر: IEEE Access Access, IEEE. 8:28690-28703 2020

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  6. 6
    مؤتمر
    Spatio-temporal MRI reconstruction by enforcing local and global regularity via dynamic total variation and nuclear norm minimization

    المؤلفون: Ulas, Cagdas, Gomez, Pedro A., Sperl, Jonathan I., Preibisch, Christine, Menze, Bjoern H.

    المصدر: 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on. :306-309 Apr, 2016

    Relation: 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

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  7. 7
    مؤتمر
    Low-rank and (X-F)-space sparsity via fast composite splitting for accelerated dynamic MR imaging

    المؤلفون: Tremoulheac, Benjamin, Atkinson, David, Arridge, Simon R.

    المصدر: 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on. :649-652 Apr, 2014

    Relation: 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

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  8. 8
    دورية أكاديمية
    End-to-End Deep Learning of Non-rigid Groupwise Registration and Reconstruction of Dynamic MRI

    المؤلفون: Junwei Yang, Thomas Küstner, Peng Hu, Pietro Liò, Haikun Qi

    المصدر: Frontiers in Cardiovascular Medicine, Vol 9 (2022)

    مصطلحات موضوعية: dynamic MR imaging, deep learning, reconstruction, registration, multi-task learning, Diseases of the circulatory (Cardiovascular) system, RC666-701

    وصف الملف: electronic resource

    Relation: https://www.frontiersin.org/articles/10.3389/fcvm.2022.880186/full; https://doaj.org/toc/2297-055X

    URL الوصول: https://doaj.org/article/6d578270350a4b709045a90cc10fe699

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  9. 9
    دورية أكاديمية
    Dynamic MR Image Reconstruction From Highly Undersampled (k, t)-Space Data Exploiting Low Tensor Train Rank and Sparse Prior

    المؤلفون: Shuli Ma, Huiqian Du, Wenbo Mei

    المصدر: IEEE Access, Vol 8, Pp 28690-28703 (2020)

    مصطلحات موضوعية: Dynamic MR imaging, tensor train, sparsity, the alternating direction multiplier method, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

    وصف الملف: electronic resource

    Relation: https://ieeexplore.ieee.org/document/8986636/; https://doaj.org/toc/2169-3536

    URL الوصول: https://doaj.org/article/84dbf707cfd04e74a5239b8b3e2dbdca

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  10. 10
    دورية أكاديمية
    SelfCoLearn: Self-Supervised Collaborative Learning for Accelerating Dynamic MR Imaging

    المؤلفون: Juan Zou, Cheng Li, Sen Jia, Ruoyou Wu, Tingrui Pei, Hairong Zheng, Shanshan Wang

    المصدر: Bioengineering, Vol 9, Iss 11, p 650 (2022)

    مصطلحات موضوعية: dynamic MR imaging, self-supervised learning, collaborative learning, reunderampling data augmentation, co-training loss, Technology, Biology (General), QH301-705.5

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2306-5354/9/11/650; https://doaj.org/toc/2306-5354

    URL الوصول: https://doaj.org/article/92c99a2c58dc4d0db0fb416e0c05bdc6

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