Deep learning-based magnetic resonance image super-resolution: a survey

Zexin Ji; Beiji Zou; Xiaoyan Kui; Jun Liu; Wei Zhao; Chengzhang Zhu; Peishan Dai; Yulan Dai

doi:10.1007/s00521-024-09890-w

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JOURNAL ARTICLE

Deep learning-based magnetic resonance image super-resolution: a survey

Zexin Ji Beiji Zou Xiaoyan Kui Jun Liu Wei Zhao Chengzhang Zhu Peishan Dai Yulan Dai

Year: 2024 Journal: Neural Computing and Applications Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-024-09890-w

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Keywords:

Magnetic resonance imaging Superresolution Nuclear magnetic resonance Image (mathematics) Artificial intelligence Computer science Computer vision Physics Medicine Radiology

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Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced MRI Techniques and Applications

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Deep learning-based magnetic resonance image super-resolution: a survey

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