| Regularization and iterative initialization of softmax for fast training of convolutional neural networks Q Rao, B Yu, K He, B Feng 2019 international joint conference on neural networks (IJCNN), 1-8, 2019 | 22 | 2019 |
| An automated pipeline for mitochondrial segmentation on atum-sem stacks W Li, H Deng, Q Rao, Q Xie, X Chen, H Han Journal of Bioinformatics and Computational Biology 15 (03), 1750015, 2017 | 15 | 2017 |
| Automatically segmenting and reconstructing neurons in SEM images Q Rao, H Han, W Li, L Shen, X Chen, Q Xie 2016 IEEE International Conference on Mechatronics and Automation, 1908-1915, 2016 | 6 | 2016 |
| Segmentation of mitochondria based on SEM images W Li, Q Rao, X Chen, G Li, D Zhang 2016 IEEE International Conference on Mechatronics and Automation, 1953-1958, 2016 | 5 | 2016 |
| Deep learning and shapes similarity for joint segmentation and tracing single neurons in SEM images Q Rao, C Xiao, H Han, X Chen, L Shen, Q Xie Medical Imaging 2017: Image Processing 10133, 625-632, 2017 | 4 | 2017 |
| Knot Magnify Loss for Face Recognition Q Rao, B Yu, Y Yang, B Feng 2018 25th IEEE International Conference on Image Processing (ICIP), 2396-2400, 2018 | 3 | 2018 |
| 3D reconstruction of synapses with deep learning based on EM Images C Xiao, Q Rao, D Zhang, X Chen, H Han, Q Xie Medical Imaging 2017: Physics of Medical Imaging 10132, 1206-1211, 2017 | 2 | 2017 |
| Microscopic neural image registration based on the structure of mitochondria H Cao, H Han, Q Rao, C Xiao, X Chen Medical Imaging 2017: Image Processing 10133, 597-602, 2017 | 1 | 2017 |
| MATGAN: Unified GANs for Multimodal Attribute Transfer by Coarse-to-Fine Disentangling Representations X Guo, Q Rao, K He, F Chen, B Yu, B Feng, J Huang, Q Yang 2022 International Conference on Frontiers of Artificial Intelligence and …, 2022 | | 2022 |
