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Yi Ding
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DeepEDN: A deep-learning-based image encryption and decryption network for internet of medical things
Y Ding, G Wu, D Chen, N Zhang, L Gong, M Cao, Z Qin
IEEE Internet of Things Journal 8 (3), 1504-1518, 2020
1852020
Brain tumor segmentation with deep convolutional symmetric neural network
H Chen, Z Qin, Y Ding, L Tian, Z Qin
Neurocomputing 392, 305-313, 2020
1582020
DeepKeyGen: a deep learning-based stream cipher generator for medical image encryption and decryption
Y Ding, F Tan, Z Qin, M Cao, KKR Choo, Z Qin
IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4915-4929, 2021
932021
A deep learning-based segmentation method for brain tumor in MR images
Z Xiao, R Huang, Y Ding, T Lan, RF Dong, Z Qin, X Zhang, W Wang
2016 IEEE 6th international conference on computational advances in bio and …, 2016
882016
A stacked multi-connection simple reducing net for brain tumor segmentation
Y Ding, F Chen, Y Zhao, Z Wu, C Zhang, D Wu
IEEE Access 7, 104011-104024, 2019
782019
Brain MR image classification for Alzheimer’s disease diagnosis based on multifeature fusion
Z Xiao, Y Ding, T Lan, C Zhang, C Luo, Z Qin
Computational and mathematical methods in medicine 2017 (1), 1952373, 2017
732017
A multi-path adaptive fusion network for multimodal brain tumor segmentation
Y Ding, L Gong, M Zhang, C Li, Z Qin
Neurocomputing 412, 19-30, 2020
532020
Classification of Alzheimer's disease based on the combination of morphometric feature and texture feature
Y Ding, C Zhang, T Lan, Z Qin, X Zhang, W Wang
2015 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2015
472015
MVFusFra: A multi-view dynamic fusion framework for multimodal brain tumor segmentation
Y Ding, W Zheng, J Geng, Z Qin, KKR Choo, Z Qin, X Hou
IEEE Journal of Biomedical and Health Informatics 26 (4), 1570-1581, 2021
442021
How to improve the deep residual network to segment multi-modal brain tumor images
Y Ding, C Li, Q Yang, Z Qin, Z Qin
IEEE Access 7, 152821-152831, 2019
412019
ToStaGAN: An end-to-end two-stage generative adversarial network for brain tumor segmentation
Y Ding, C Zhang, M Cao, Y Wang, D Chen, N Zhang, Z Qin
Neurocomputing 462, 141-153, 2021
372021
A survey of identity recognition via data fusion and feature learning
Z Qin, P Zhao, T Zhuang, F Deng, Y Ding, D Chen
Information Fusion 91, 694-712, 2023
292023
Andrographolide suppresses the growth and metastasis of luminal-like breast cancer by inhibiting the NF-κB/miR-21-5p/PDCD4 signaling pathway
J Li, L Huang, Z He, M Chen, Y Ding, Y Yao, Y Duan, L Zixuan, C Qi, ...
Frontiers in Cell and Developmental Biology 9, 643525, 2021
282021
Run: Residual u-net for computer-aided detection of pulmonary nodules without candidate selection
T Lan, Y Li, JK Murugi, Y Ding, Z Qin
arXiv preprint arXiv:1805.11856, 2018
272018
A framework for hierarchical division of retinal vascular networks
L Yu, Z Qin, T Zhuang, Y Ding, Z Qin, KKR Choo
Neurocomputing 392, 221-232, 2020
252020
A verifiable hidden policy CP‐ABE with decryption testing scheme and its application in VANET
Y Zhao, X Zhang, X Xie, Y Ding, S Kumar
Transactions on Emerging Telecommunications Technologies 33 (5), e3785, 2022
242022
Brain tumor segmentation with generative adversarial nets
H Chen, Z Qin, Y Ding, T Lan
2019 2nd international conference on artificial intelligence and big data …, 2019
232019
Multi-features refinement and aggregation for medical brain segmentation
D Wu, Y Ding, M Zhang, Q Yang, Z Qin
IEEE Access 8, 57483-57496, 2020
192020
High-order correlation detecting in features for diagnosis of Alzheimer’s disease and mild cognitive impairment
Y Ding, C Luo, C Li, T Lan, ZG Qin
Biomedical Signal Processing and Control 53, 101564, 2019
172019
Brain tumor segmentation using concurrent fully convolutional networks and conditional random fields
G Shen, Y Ding, T Lan, H Chen, Z Qin
Proceedings of the 3rd International Conference on Multimedia and Image …, 2018
172018
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