Publications
2025
Simplify-YOLOv5m: A Simplified High-Speed Insulator Detection Algorithm for UAV Images
Li, Y., Hu, B., Wei, S., Gao, D., & Shuang, F. (2025). Simplify-YOLOv5m: A Simplified High-Speed Insulator Detection Algorithm for UAV Images. IEEE Transactions on Instrumentation and Measurement, 74, 1-14. doi:10.1109/tim.2025.3549909
2024
Self-cure Dual-branch Network for Facial Expression Recognition Based on Visual Sensors
Wu, D., Chen, Y., Lin, Y., Xu, P., & Gao, D. (2024). Self-cure Dual-branch Network for Facial Expression Recognition Based on Visual Sensors. Sensors and Materials, 36(11), 4631. doi:10.18494/sam5064
FRNet: A Full-Resolution Convolutional Neural Network for OCTA Vascular Segmentation
Wang, L., Gao, D., Gao, H., Jiang, G., & Ju, Z. (2024). FRNet: A Full-Resolution Convolutional Neural Network for OCTA Vascular Segmentation. In 2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (pp. 1-6). IEEE. doi:10.1109/m2vip62491.2024.10746018
Multimodal Hand Gesture Recognition Based on the Fusion of Surface Electromyography and Vision
Hao, S., Gao, D., Ju, Z., & Gao, Q. (2024). Multimodal Hand Gesture Recognition Based on the Fusion of Surface Electromyography and Vision. In 2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (pp. 1-6). IEEE. doi:10.1109/m2vip62491.2024.10746196
Uncertain-aware Patch Learning for Ambiguous Facial Expression Recognition
Chen, Y., Gao, D., Zhou, D., & Ju, Z. (2024). Uncertain-aware Patch Learning for Ambiguous Facial Expression Recognition. In 2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (pp. 1-6). IEEE. doi:10.1109/m2vip62491.2024.10746197
2023
A Floating-Waste-Detection Method for Unmanned Surface Vehicle Based on Feature Fusion and Enhancement
Li, Y., Wang, R., Gao, D., & Liu, Z. (n.d.). A Floating-Waste-Detection Method for Unmanned Surface Vehicle Based on Feature Fusion and Enhancement. Journal of Marine Science and Engineering, 11(12), 2234. doi:10.3390/jmse11122234
SDE-YOLO: A Novel Method for Blood Cell Detection.
Wu, Y., Gao, D., Fang, Y., Xu, X., Gao, H., & Ju, Z. (2023). SDE-YOLO: A Novel Method for Blood Cell Detection.. Biomimetics (Basel, Switzerland), 8(5), 404. doi:10.3390/biomimetics8050404
Dual Consistency Enabled Weakly and Semi-Supervised Optic Disc and Cup Segmentation With Dual Adaptive Graph Convolutional Networks
Meng, Y., Zhang, H., Zhao, Y., Gao, D., Hamill, B., Patri, G., . . . Zheng, Y. (2023). Dual Consistency Enabled Weakly and Semi-Supervised Optic Disc and Cup Segmentation With Dual Adaptive Graph Convolutional Networks. IEEE TRANSACTIONS ON MEDICAL IMAGING, 42(2), 416-429. doi:10.1109/TMI.2022.3203318
AS-TransUnet: Combining ASPP and Transformer for Semantic Segmentation
Wang, J., Gao, D., Wang, X., Gao, H., & Ju, Z. (2023). AS-TransUnet: Combining ASPP and Transformer for Semantic Segmentation. In Lecture Notes in Computer Science (pp. 147-158). Springer Nature Singapore. doi:10.1007/978-981-99-6486-4_13
Retinal Vascular Segmentation Based on Depth-Separable Convolution and Attention Mechanisms
Liu, X., Gao, D., Zhang, C., Gao, H., & Ju, Z. (2023). Retinal Vascular Segmentation Based on Depth-Separable Convolution and Attention Mechanisms. In Lecture Notes in Computer Science (pp. 145-160). Springer Nature Singapore. doi:10.1007/978-981-99-6489-5_12
SW-YOLO: Improved YOLOv5s Algorithm for Blood Cell Detection
Wu, Y., Fang, Y., Gao, D., Gao, H., & Ju, Z. (2023). SW-YOLO: Improved YOLOv5s Algorithm for Blood Cell Detection. In Lecture Notes in Computer Science (pp. 161-172). Springer Nature Singapore. doi:10.1007/978-981-99-6489-5_13
2022
Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency
Meng, Y., Chen, X., Zhang, H., Zhao, Y., Gao, D., Hamill, B., . . . Zheng, Y. (2022). Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency. In MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2022, PT IV Vol. 13434 (pp. 524-534). doi:10.1007/978-3-031-16440-8_50
2021
Photo Acoustic and Optical Coherence Tomography Imaging, Volume 3
El-Baz, A., & Suri, J. S. (Eds.) (n.d.). Photo Acoustic and Optical Coherence Tomography Imaging, Volume 3. In . IOP Publishing. doi:10.1088/978-0-7503-2060-3
Stripe noise removal and vessel segmentation of OCTA images
Wu, X., Gao, D., Borroni, D., Madhusudhan, S., & Zheng, Y. (n.d.). Stripe noise removal and vessel segmentation of OCTA images. In Photo Acoustic and Optical Coherence Tomography Imaging, Volume 3. IOP Publishing. doi:10.1088/978-0-7503-2060-3ch3
TransBridge: A Lightweight Transformer for Left Ventricle Segmentation in Echocardiography
Deng, K., Meng, Y., Gao, D., Bridge, J., Shen, Y., Lip, G., . . . Zheng, Y. (2021). TransBridge: A Lightweight Transformer for Left Ventricle Segmentation in Echocardiography. In SIMPLIFYING MEDICAL ULTRASOUND Vol. 12967 (pp. 63-72). doi:10.1007/978-3-030-87583-1_7
2020
Cooperative low-rank models for removing stripe noise from OCTA images
Wu, X., Gao, D., Borroni, D., Madhusudhan, S., Jin, Z., & Zheng, Y. (2020). Cooperative low-rank models for removing stripe noise from OCTA images. IEEE Journal of Biomedical and Health Informatics, 24(12), 3480-3490. doi:10.1109/jbhi.2020.2997381
A novel deep learning based OCTA de-striping method
Gao, D., Celik, N., wu, X., Williams, B., Stylianides, A., & Zheng, Y. (2020). A novel deep learning based OCTA de-striping method.
Joint Destriping and Segmentation of OCTA Images
Wu, X., Gao, D., Williams, B. M., Stylianides, A., Zheng, Y., & Jin, Z. (2020). Joint Destriping and Segmentation of OCTA Images. In Unknown Conference (pp. 423-435). Springer International Publishing. doi:10.1007/978-3-030-39343-4_36
CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image Segmentation
Meng, Y., Wei, M., Gao, D., Zhao, Y., Yang, X., Huang, X., & Zheng, Y. (2020). CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image Segmentation. In Unknown Conference (pp. 352-362). Springer International Publishing. doi:10.1007/978-3-030-59719-1_35
Cooperative Low-Rank Models for Removing Stripe Noise From OCTA Images.
Wu, X., Gao, D., Borroni, D., Madhusudhan, S., Jin, Z., & Zheng, Y. (2020). Cooperative Low-Rank Models for Removing Stripe Noise From OCTA Images.. IEEE J. Biomed. Health Informatics, 24, 3480-3490.
Corneal confocal microscopy and not optical coherence tomography detects progressive worsening of neuropathy in Type 1 Diabetes
Akil, H., Lim, J., Gao, D., Burgess, J., Stylianides, A., Ooi, C., . . . Alam, U. (2020). Corneal confocal microscopy and not optical coherence tomography detects progressive worsening of neuropathy in Type 1 Diabetes. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE Vol. 61. Retrieved from https://www.webofscience.com/
Regression of Instance Boundary by Aggregated CNN and GCN
Meng, Y., Meng, W., Gao, D., Zhao, Y., Yang, X., Huang, X., & Zheng, Y. (2020). Regression of Instance Boundary by Aggregated CNN and GCN. In Unknown Conference (pp. 190-207). Springer International Publishing. doi:10.1007/978-3-030-58598-3_12
2019
Fully automatic localisation of the optic disc using YOLO in colour fundus photographs
Zheng, Y., Zhao, Y., Chen, X., Gao, D., Bridge, J., Zhu, W., & Williams, B. (2019). Fully automatic localisation of the optic disc using YOLO in colour fundus photographs. Poster session presented at the meeting of Unknown Conference. Retrieved from https://www.webofscience.com/
2015
Real Time Object Tracking with Sparse Prototypes
Gao, D., Cao, J., Ju, Z., & Ji, X. (2015). Real Time Object Tracking with Sparse Prototypes. International Journal of Signal Processing, Image Processing and Pattern Recognition, 8(4), 279-296. doi:10.14257/ijsip.2015.8.4.25