Spatial image steganography based on generative adversarial network J Yang, K Liu, X Kang, EK Wong, YQ Shi arXiv preprint arXiv:1804.07939, 2018 | 91 | 2018 |
Steganalysis based on awareness of selection-channel and deep learning J Yang, K Liu, X Kang, E Wong, Y Shi Digital Forensics and Watermarking: 16th International Workshop, IWDW 2017 …, 2017 | 42 | 2017 |
Ensemble of CNN and rich model for steganalysis K Liu, J Yang, X Kang 2017 International Conference on Systems, Signals and Image Processing …, 2017 | 17 | 2017 |
The combination of CD138/MUM1 dual‐staining and artificial intelligence for plasma cell counting in the diagnosis of chronic endometritis Z Xiong, W Zhang, S Liu, K Liu, J Wang, P Qin, Y Liu, Q Jiang American Journal of Reproductive Immunology 89 (3), e13671, 2023 | 4 | 2023 |
Multi-channel neural network for steganalysis K Liu, X Li, Q Zhang, X Kang 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 2 | 2017 |
Development and validation of an artificial intelligence-based model for detecting urothelial carcinoma using urine cytology images: a multicentre, diagnostic study with … S Wu, R Shen, G Hong, Y Luo, H Wan, J Feng, Z Chen, F Jiang, Y Wang, ... Eclinicalmedicine 71, 2024 | | 2024 |
Risk model based on minichromosome maintenance 2 using objective assessment for predicting survival of neuroblastoma L Zeng, XY Liu, L Miao, K Chen, H Xu, LJ Qin, M Li, K Liu, J Feng, ... Iscience 26 (2), 2023 | | 2023 |