Shihui Ying
Cited by
Cited by
Multimodal Neuroimaging Feature Learning with Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease
J Shi, X Zheng, Y Li, Q Zhang, S Ying
IEEE Journal of Biomedical and Health Informatics 22 (1), 173-183, 2018
Affine iterative closest point algorithm for point set registration
S Du, N Zheng, S Ying, J Liu
Pattern Recognition Letters 31 (9), 791-799, 2010
A scale stretch method based on ICP for 3D data registration
S Ying, J Peng, S Du, H Qiao
IEEE Transactions on Automation Science and Engineering 6 (3), 559-565, 2009
Scaling iterative closest point algorithm for registration of m–D point sets
S Du, N Zheng, L Xiong, S Ying, J Xue
Journal of Visual Communication and Image Representation 21 (5), 442-452, 2010
MR image super-resolution via wide residual networks with fixed skip connection
J Shi, Z Li, S Ying, C Wang, Q Liu, Q Zhang, P Yan
IEEE Journal of Biomedical and Health Informatics 23 (3), 1129-1140, 2019
Histopathological image classification with bilinear convolutional neural networks
C Wang, J Shi, Q Zhang, S Ying
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
Super-resolution reconstruction of MR image with a novel residual learning network algorithm
J Shi, Q Liu, C Wang, Q Zhang, S Ying, H Xu
Physics in Medicine & Biology 63 (8), 085011, 2018
An extension of the ICP algorithm considering scale factor
S Du, N Zheng, S Ying, Q You, Y Wu
2007 IEEE International Conference on Image Processing 5, V-193-V-196, 2007
Histopathological Image Classification with Color Pattern Random Binary Hashing Based PCANet and Matrix-Form Classifier.
J Shi, J Wu, Y Li, Q Zhang, S Ying
IEEE Journal of Biomedical and Health Informatics 21 (5), 1327–1337, 2017
Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning
S Ying, Z Wen, J Shi, Y Peng, J Peng, H Qiao
IEEE Transactions on Neural Networks and Learning Systems 29 (7), 2731-2742, 2018
LieTrICP: An improvement of trimmed iterative closest point algorithm
J Dong, Y Peng, S Ying, Z Hu
Neurocomputing 140 (2), 67-76, 2014
Projective parameter transfer based sparse multiple empirical kernel learning machine for diagnosis of brain disease
X Fei, J Wang, S Ying, Z Hu, J Shi
Neurocomputing 413, 271-283, 2020
Fabric defects detection using adaptive wavelets
Z Wen, J Cao, X Liu, S Ying
International Journal of Clothing Science and Technology 26 (3), 202-211, 2014
Kullback-Leibler divergence metric learning
S Ji, Z Zhang, S Ying, L Wang, X Zhao, Y Gao
IEEE Transactions on Cybernetics 52 (4), 2047-2058, 2022
Hierarchical Unbiased Graph Shrinkage (HUGS): A Novel Groupwise Registration for Large Data Set
S Ying, G Wu, Q Wang, D Shen
NeuroImage 84 (1), 626–638, 2014
Multi-channel EEG-based sleep stage classification with joint collaborative representation and multiple kernel learning
J Shi, X Liu, Y Li, Q Zhang, Y Li, S Ying
Journal of Neuroscience Methods 254, 94-101, 2015
Quaternion Grassmann average network for learning representation of histopathological image
J Shi, X Zheng, J Wu, B Gong, Q Zhang, S Ying
Pattern Recognition 89, 67-76, 2019
Multi-source transfer learning via multi-kernel support vector machine plus for B-mode ultrasound-based computer-aided diagnosis of liver cancers
H Zhang, L Guo, D Wang, J Wang, L Bao, S Ying, H Xu, J Shi
IEEE Journal of Biomedical and Health Informatics 25 (10), 3874-3885, 2021
Gcsba-net: Gabor-based and cascade squeeze bi-attention network for gland segmentation
Z Wen, R Feng, J Liu, Y Li, S Ying
IEEE Journal of Biomedical and Health Informatics 25 (4), 1185-1196, 2020
Neuroimaging-based diagnosis of Parkinson's disease with deep neural mapping large margin distribution machine
B Gong, J Shi, S Ying, Y Dai, Q Zhang, Y Dong, H An, Y Zhang
Neurocomputing 320, 141-149, 2018
The system can't perform the operation now. Try again later.
Articles 1–20