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Cardiac magnetic resonance imaging is a valuable non-invasive tool for identifying cardiovascular diseases.
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A. Sriram, J. Zbontar, T. Murrell, A. Defazio, C. L. Zitnick, N. Yakubova, F. Knoll, and P. Johnson, “End-to-end variational networks for accelerated mri reconstruction,” in Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 , A. L. Martel, P. Abolmaesumi, D. Stoyanov, D. Mateus, M. A. Zuluaga, S. K. Zhou, D. Racoceanu, and L. Joskowicz, Eds. Cham: Springer International Publishing, 2020, pp. 64–73
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C. Wang, Y. Li, J. Lv, J. Jin, X. Hu, X. Kuang, W. Chen, and H. Wang, “Recommendation for cardiac magnetic resonance imaging-based phenotypic study: Imaging part,” Phenomics , vol. 1, no. 4, pp. 151–170, Jul. 2021. [Online]. Available: https://doi.org/10.1007/s43657-021-00018-x
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2022
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2022
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2023
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2023
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C. Wang and et al., “Cmrxrecon: An open cardiac mri dataset for the competition of accelerated image reconstruction,” 2023
2023
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C. Zhang, M. W. Caan, R. Navest, J. Teuwen, and J.-J. Sonke, “Radial-rim: accelerated radial 4d mri using the recurrent inference machine,” in Proc. Intl. Soc. Mag. Reson. Med , vol. 31, 2023
2023
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