Shuqiang Wang
Shuqiang Wang
Professor of Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
Verified email at
Cited by
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Variational iteration method for solving integro-differential equations
SQ Wang, JH He
Physics letters A 367 (3), 188-191, 2007
Ensemble of 3D densely connected convolutional network for diagnosis of mild cognitive impairment and Alzheimer’s disease
H Wang, Y Shen, S Wang, T Xiao, L Deng, X Wang, X Zhao
Neurocomputing 333, 145-156, 2019
Skin lesion segmentation via generative adversarial networks with dual discriminators
B Lei, Z Xia, F Jiang, X Jiang, Z Ge, Y Xu, J Qin, S Chen, T Wang, S Wang
Medical Image Analysis 64, 101716, 2020
Nonlinear oscillator with discontinuity by parameter-expansion method
SQ Wang, JH He
Chaos, Solitons & Fractals 35 (4), 688-691, 2008
Bidirectional mapping generative adversarial networks for brain MR to PET synthesis
S Hu, B Lei, S Wang, Y Wang, Z Feng, Y Shen
IEEE Transactions on Medical Imaging 41 (1), 145-157, 2021
Fine perceptive GANs for brain MR image super-resolution in wavelet domain
S You, B Lei, S Wang, CK Chui, AC Cheung, Y Liu, M Gan, G Wu, Y Shen
IEEE transactions on neural networks and learning systems, 2022
Tensorizing GAN with high-order pooling for Alzheimer's disease assessment
W Yu, B Lei, MK Ng, AC Cheung, Y Shen, S Wang
IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4945-4959, 2021
Diabetic retinopathy diagnosis using multichannel generative adversarial network with semisupervision
S Wang, X Wang, Y Hu, Y Shen, Z Yang, M Gan, B Lei
IEEE Transactions on Automation Science and Engineering, 2020
Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN
W Yu, B Lei, Y Shen, S Wang, Y Liu, Z Feng, Y Hu, MK Ng
IEEE Transactions on Neural Networks and Learning Systems, 0, 2021
A variational approach to nonlinear two-point boundary value problems
SQ Wang
Computers & Mathematics with Applications 58 (11-12), 2452-2455, 2009
An ensemble-based densely-connected deep learning system for assessment of skeletal maturity
S Wang, X Wang, Y Shen, B He, X Zhao, PWH Cheung, JPY Cheung, ...
IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (1), 426-437, 2022
Deep and joint learning of longitudinal data for Alzheimer's disease prediction
B Lei, M Yang, P Yang, F Zhou, W Hou, W Zou, X Li, T Wang, X Xiao, ...
Pattern Recognition 102, 107247, 2020
Automatic recognition of mild cognitive impairment from MRI images using expedited convolutional neural networks
S Wang, Y Shen, W Chen, T Xiao, J Hu
Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017
Predicting clinical scores for Alzheimer’s disease based on joint and deep learning
B Lei, E Liang, M Yang, P Yang, F Zhou, EL Tan, Y Lei, CM Liu, T Wang, ...
Expert Systems with Applications 187, 115966, 2022
Medical image reconstruction using generative adversarial network for Alzheimer disease assessment with class-imbalance problem
S Hu, W Yu, Z Chen, S Wang
2020 IEEE 6th international conference on Computer and Communications (ICCC …, 2020
Non‐ionic surfactants for enhancing electrospinability and for the preparation of electrospun nanofibers
SQ Wang, JH He, L Xu
Polymer International 57 (9), 1079-1082, 2008
Multi-scale enhanced graph convolutional network for early mild cognitive impairment detection
S Yu, S Wang, X Xiao, J Cao, G Yue, D Liu, T Wang, Y Xu, B Lei
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Automatic recognition of mild cognitive impairment and alzheimers disease using ensemble based 3d densely connected convolutional networks
S Wang, H Wang, Y Shen, X Wang
2018 17th IEEE International conference on machine learning and applications …, 2018
Brain MR to PET synthesis via bidirectional generative adversarial network
S Hu, Y Shen, S Wang, B Lei
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Prediction of myelopathic level in cervical spondylotic myelopathy using diffusion tensor imaging
SQ Wang, X Li, JL Cui, HX Li, KDK Luk, Y Hu
Journal of Magnetic Resonance Imaging 41 (6), 1682-1688, 2015
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