| CT quantification and machine-learning models for assessment of disease severity and prognosis of COVID-19 patients W Cai, T Liu, X Xue, G Luo, X Wang, Y Shen, Q Fang, J Sheng, F Chen, ... Academic radiology 27 (12), 1665-1678, 2020 | 93 | 2020 |
| A hole filling approach based on background reconstruction for view synthesis in 3D video G Luo, Y Zhu, Z Li, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 72 | 2016 |
| A disocclusion inpainting framework for depth-based view synthesis G Luo, Y Zhu, Z Weng, Z Li IEEE transactions on pattern analysis and machine intelligence 42 (6), 1289-1302, 2019 | 31 | 2019 |
| Foreground removal approach for hole filling in 3D video and FVV synthesis G Luo, Y Zhu IEEE Transactions on Circuits and Systems for Video Technology 27 (10), 2118 …, 2016 | 29 | 2016 |
| Fast MRF-based hole filling for view synthesis G Luo, Y Zhu, B Guo IEEE Signal Processing Letters 25 (1), 75-79, 2017 | 20 | 2017 |
| Hole filling for view synthesis using depth guided global optimization G Luo, Y Zhu IEEE Access 6, 32874-32889, 2018 | 16* | 2018 |
| A digital blind watermarking scheme based on quantization index modulation in depth map for 3D video Y Guan, Y Zhu, X Liu, G Luo, Z Sun, L Zhang 2014 13th International Conference on Control Automation Robotics & Vision …, 2014 | 14 | 2014 |
| Classification of bone tumor on CT images using deep convolutional neural network Y Li, W Zhou, G Lv, G Luo, Y Zhu, J Liu Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 8 | 2018 |
| Influence of data distribution on federated learning performance in tumor segmentation G Luo, T Liu, J Lu, X Chen, L Yu, J Wu, DZ Chen, W Cai Radiology: Artificial Intelligence 5 (3), e220082, 2023 | 7 | 2023 |
| A detection method for facial expression reenacted forgery in videos C Guo, G Luo, Y Zhu Tenth International Conference on Digital Image Processing (ICDIP 2018 …, 2018 | 7 | 2018 |
| Promamba: Prompt-mamba for polyp segmentation J Xie, R Liao, Z Zhang, S Yi, Y Zhu, G Luo arXiv preprint arXiv:2403.13660, 2024 | 6 | 2024 |
| Automatic image segmentation and grading diagnosis of sacroiliitis associated with AS using a deep convolutional neural network on CT images K Zhang, G Luo, W Li, Y Zhu, J Pan, X Li, C Liu, J Liang, Y Zhan, J Zheng, ... Journal of Digital Imaging 36 (5), 2025-2034, 2023 | 5 | 2023 |
| Annular Sector Model for tracking multiple indistinguishable and deformable objects in occlusions B Guo, G Luo, Z Weng, Y Zhu Neurocomputing 333, 419-428, 2019 | 4 | 2019 |
| A new sparse subspace clustering by rotated orthogonal matching pursuit L Zhong, Y Zhu, G Luo 2018 25th IEEE International Conference on Image Processing (ICIP), 3853-3857, 2018 | 4 | 2018 |
| A low-complexity visual tracking approach with single hidden layer neural networks L Dai, Y Zhu, G Luo, C He 2014 13th International Conference on Control Automation Robotics & Vision …, 2014 | 4 | 2014 |
| A new disocclusion filling approach in depth image based rendering for stereoscopic imaging H Yin, L Zhang, G Luo, Y Zhu 2015 International Conference on Control, Automation and Information …, 2015 | 3 | 2015 |
| Use of MRI-based deep learning radiomics to diagnose sacroiliitis related to axial spondyloarthritis K Zhang, C Liu, J Pan, Y Zhu, X Li, J Zheng, Y Zhan, W Li, S Li, G Luo, ... European Journal of Radiology 172, 111347, 2024 | 2 | 2024 |
| COVID and Cancer: A Complete 3D Advanced Radiological CT-Based Analysis to Predict the Outcome S Rahmanuddin, A Jamil, A Chaudhry, T Seto, J Brase, P Motarjem, ... Cancers 15 (3), 651, 2023 | 2 | 2023 |
| An improved depth map estimation method based on motion detection B Pan, L Zhang, Y Zhu, G Luo TENCON 2015-2015 IEEE Region 10 Conference, 1-5, 2015 | 2 | 2015 |
| A real-time visual tracking approach using sparse autoencoder and extreme learning machine L Dai, Y Zhu, G Luo, C He, H Lin Unmanned Systems 3 (04), 267-275, 2015 | 2 | 2015 |
