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 | 185 | 2020 |
Brain tumor segmentation with deep convolutional symmetric neural network H Chen, Z Qin, Y Ding, L Tian, Z Qin Neurocomputing 392, 305-313, 2020 | 158 | 2020 |
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 | 93 | 2021 |
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 | 88 | 2016 |
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 | 78 | 2019 |
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 | 73 | 2017 |
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 | 53 | 2020 |
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 | 47 | 2015 |
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 | 44 | 2021 |
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 | 41 | 2019 |
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 | 37 | 2021 |
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 | 29 | 2023 |
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 | 28 | 2021 |
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 | 27 | 2018 |
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 | 25 | 2020 |
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 | 24 | 2022 |
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 | 23 | 2019 |
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 | 19 | 2020 |
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 | 17 | 2019 |
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 | 17 | 2018 |