Ran Yang
Sun Yat-sen University
16 Papers
33 Citations
Ran Yang is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Iterative reconstruction & Infinite impulse response. The author has an hindex of 5, co-authored 16 publications.
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Papers
Computer-aided diagnosis of early knee osteoarthritis based on MRI T2 mapping.
TL;DR: The knee OA classifier constituted by a weights-directly-determined RBF neural network didn't require any iteration, and demonstrated that the optimal weights, appropriate center and variance could be yielded through simple procedures.
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Analysis of generalized rosette trajectory for compressed sensing MRI.
TL;DR: Compared with spiral trajectories, the arch and curvature characteristics of the generalized rosette trajectories are more feasible to meet the physical requirements of undersampled k-space data acquisition in terms of time shortness and scan area.
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Compressed sensing MRI by two-dimensional wavelet filter banks
Zangen Zhu,Ran Yang,Jingxin Zhang,Cishen Zhang +3 more
- 15 Nov 2011
TL;DR: This paper implements compressed sensing MRI reconstruction based on a new kind of two-dimensional wavelet filter banks which has improved directional selectivity and approximate shift invariance and can significantly reduce aliasing and achieve higher peak signal to noise ratio (PSNR).
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Super resolution image reconstruction in parallel magnetic resonance imaging
Yanhong Lu,Ran Yang,Jingxin Zhang,Cishen Zhang +3 more
- 26 Jul 2010
TL;DR: An approach is proposed to increase image resolution of parallel magnetic resonance imaging by exploiting the degradation function of every low resolution image to compute the high resolution image iteratively using the well known super resolution approach.
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An improved GRAPPA algorithm based on sensitivity estimation
Ran Yang,Jingxin Zhang,Cishen Zhang +2 more
- 01 Dec 2009
TL;DR: New GRAPPA algorithm is developed where the above assumption is relaxed and the missing k-space data are reconstructed based on physical properties of k- space data and coil sensitivity profiles, which can be estimated using Auto-Calibrating Signal (ACS) lines.
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