| Efficient refinements on YOLOv3 for real-time detection and assessment of diabetic foot Wagner grades A Han, Y Zhang, A Li, C Li, F Zhao, Q Dong, Q Liu, Y Liu, X Shen, S Yan, ... arXiv preprint arXiv:2006.02322, 2020 | 14 | 2020 |
| Improving model drift for robust object tracking Q Dong, X He, H Ge, Q Liu, A Han, S Zhou Multimedia Tools and Applications 79, 25801-25815, 2020 | 4 | 2020 |
| Deep learning methods for real-time detection and analysis of Wagner Ulcer Classification System A Han, Y Zhang, A Li, C Li, F Zhao, Q Dong, Y Liu, X Shen, S Yan, S Zhou 2022 International Conference on Computer Applications Technology (CCAT), 11-21, 2022 | 2 | 2022 |
| Application of refinements on faster-RCNN in automatic screening of diabetic foot wagner grades A Han, Y Zhang, Q Liu, Q Dong, F Zhao, X Shen, Y Liu, S Yan, S Zhou ACTA MEDICA MEDITERRANEA 36 (1), 661-665, 2020 | 2 | 2020 |
| Gradation and Area Measurement of Diabetic Foot Ulcers based on Deep Learning A Han, Y Zhang, A Li, C Li, F Zhao, Q Dong, Q Liu, Y Liu, X Shen, Y Zhang, ... BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY 127, 163-164, 2020 | | 2020 |
| Adaptive Model-updated Correlation Filters for Real-time Visual Tracking Q Dong, X He, H Ge, Q Liu, A Han, S Zhou Proceedings of the 2019 International Conference on Artificial Intelligence …, 2019 | | 2019 |
| Adopting Feature-Weighted and Scale Adaptive for Real-Time Visual Tracking Q Dong, X He, H Ge, Q Liu, Y Liu, A Li, Y Zhang, A Han, S Zhou 2019 International Conference on Artificial Intelligence and Advanced …, 2019 | | 2019 |
