S
Shihui Ying
Researcher at Shanghai University
Publications - 96
Citations - 1808
Shihui Ying is an academic researcher from Shanghai University. The author has contributed to research in topics: Computer science & Iterative closest point. The author has an hindex of 17, co-authored 64 publications receiving 1232 citations. Previous affiliations of Shihui Ying include University of North Carolina at Chapel Hill & Xi'an Jiaotong University.
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Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease
TL;DR: Experimental results indicate that MM-SDPN is superior over the state-of-the-art multimodal feature-learning-based algorithms for AD diagnosis.
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Affine iterative closest point algorithm for point set registration
TL;DR: A novel generalized ICP algorithm based on lie group for affine registration of m-D point sets based on singular value decomposition technique, which decomposes affine transformation into three special matrices which are then constrained.
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A Scale Stretch Method Based on ICP for 3D Data Registration
TL;DR: A new ICP algorithm is established, named Scale-ICP algorithm, for registration of the data sets with isotropic stretches, and a way to select the initial registrations is proposed in order to achieve global convergence for the proposed algorithm.
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Super-resolution reconstruction of MR image with a novel residual learning network algorithm.
TL;DR: This work proposes a novel residual learning-based SR algorithm for MRI, which combines both multi-scale GRL and shallow network block-based local residual learning (LRL), which works effectively in capturing high-frequency details by learning local residuals.
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Scaling iterative closest point algorithm for registration of m-D point sets
TL;DR: A novel approach named the scaling iterative closest point (SICP) algorithm which integrates a scale matrix with boundaries into the original ICP algorithm for scaling registration of m-D point sets is introduced.