An automated grading system for detection of vision-threatening referable diabetic retinopathy on the basis of color fundus photographs Z Li, S Keel, C Liu, Y He, W Meng, J Scheetz, PY Lee, J Shaw, D Ting, ... Diabetes care 41 (12), 2509-2516, 2018 | 222 | 2018 |
Development and validation of a deep‐learning algorithm for the detection of neovascular age‐related macular degeneration from colour fundus photographs S Keel, Z Li, J Scheetz, L Robman, J Phung, G Makeyeva, KZ Aung, C Liu, ... Clinical & Experimental Ophthalmology 47 (8), 1009-1018, 2019 | 71 | 2019 |
Myopia prediction: a systematic review X Han, C Liu, Y Chen, M He Eye 36 (5), 921-929, 2022 | 50 | 2022 |
Development and validation of a smartphone-based visual acuity test (vision at home) X Han, J Scheetz, S Keel, C Liao, C Liu, Y Jiang, A Müller, W Meng, M He Translational Vision Science & Technology 8 (4), 27-27, 2019 | 50 | 2019 |
Adversarial attacks and defenses in deep learning: From a perspective of cybersecurity S Zhou, C Liu, D Ye, T Zhu, W Zhou, PS Yu ACM Computing Surveys 55 (8), 1-39, 2022 | 47 | 2022 |
Deployment of artificial intelligence in real-world practice: opportunity and challenge M He, Z Li, C Liu, D Shi, Z Tan Asia-Pacific Journal of Ophthalmology 9 (4), 299-307, 2020 | 45 | 2020 |
Privacy Intelligence: A Survey on Image Privacy in Online Social Networks C Liu, T Zhu, J Zhang, W Zhou ACM Computing Surveys (CSUR), 2020 | 35* | 2020 |
Can Artificial Intelligence Make Screening Faster, More Accurate, and More Accessible? Z Li, S Keel, C Liu, M He The Asia-Pacific Journal of Ophthalmology 7 (6), 436-441, 2018 | 26 | 2018 |
A self-adaptive deep learning method for automated eye laterality detection based on color fundus photography C Liu, X Han, Z Li, J Ha, G Peng, W Meng, M He Plos one 14 (9), e0222025, 2019 | 17 | 2019 |
A deep learning-based quality assessment and segmentation system with a large-scale benchmark dataset for optical coherence tomographic angiography image Y Wang, Y Shen, M Yuan, J Xu, B Yang, C Liu, W Cai, W Cheng, W Wang arXiv preprint arXiv:2107.10476, 2021 | 16 | 2021 |
Biological Age Estimated from Retinal Imaging: A Novel Biomarker of Aging C Liu, W Wang, Z Li, Y Jiang, X Han, J Ha, W Meng, M He MICCAI 2019-International Conference on Medical Image Computing and Computer …, 2019 | 16 | 2019 |
Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack C Liu, H Chen, T Zhu, J Zhang, W Zhou IEEE Transactions on Dependable and Secure Computing, 2022 | 15 | 2022 |
Distribution and progression of add power among people in need of near correction X Han, PY Lee, C Liu, M He Clinical & experimental ophthalmology 46 (8), 882-887, 2018 | 14 | 2018 |
Incidence and correction of vision impairment among elderly population in southern urban China X Han, C Liao, C Liu, PY Lee, J Zhang, S Keel, M He Clinical & Experimental Ophthalmology, 2018 | 9 | 2018 |
Ten‐year changes of intraocular pressure in adults: the Liwan Eye Study X Han, H Zhao, C Wu, C Liu, W Yan, Y Hu, M He Clinical & Experimental Ophthalmology 47 (1), 41-48, 2019 | 6 | 2019 |
一种多目标蚁群优化的虚拟机放置算法 赵君, 马中, 刘驰, 李海山, 王新余 西安电子科技大学学报 42 (3), 173-178, 2015 | 5 | 2015 |
Epvt: Environment-aware prompt vision transformer for domain generalization in skin lesion recognition S Yan, C Liu, Z Yu, L Ju, D Mahapatra, V Mar, M Janda, P Soyer, Z Ge International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 4 | 2023 |
Overview of artificial intelligence in medicine C Liu, Z Tan, M He Artificial Intelligence in Medicine: Applications, Limitations and Future …, 2022 | 3 | 2022 |
Prompt-driven Latent Domain Generalization for Medical Image Classification S Yan, C Liu, Z Yu, L Ju, D Mahapatra, B Betz-Stablein, V Mar, M Janda, ... arXiv preprint arXiv:2401.03002, 2024 | 2 | 2024 |
High-Frequency Matters: Attack and Defense for Image-Processing Model Watermarking H Chen, T Zhu, C Liu, S Yu, W Zhou IEEE Transactions on Services Computing, 2024 | 2 | 2024 |