| HD-MTL: Hierarchical deep multi-task learning for large-scale visual recognition J Fan, T Zhao, Z Kuang, Y Zheng, J Zhang, J Yu, J Peng IEEE transactions on image processing 26 (4), 1923-1938, 2017 | 76 | 2017 |
| Enhanced convolutional neural network for image segmentation T Zhao, J Wang, D Gao, Y Chen US Patent 10,140,544, 2018 | 58 | 2018 |
| Weakly supervised cell segmentation by point annotation T Zhao, Z Yin IEEE Transactions on Medical Imaging 40 (10), 2736-2747, 2020 | 50 | 2020 |
| Lung segmentation in CT images using a fully convolutional neural network with multi-instance and conditional adversary loss T Zhao, D Gao, J Wang, Z Yin 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018 | 43 | 2018 |
| Deep multi-task learning for large-scale image classification Z Kuang, Z Li, T Zhao, J Fan 2017 IEEE Third International Conference on Multimedia Big Data (BigMM), 310-317, 2017 | 39 | 2017 |
| Embedding visual hierarchy with deep networks for large-scale visual recognition T Zhao, B Zhang, M He, W Zhang, N Zhou, J Yu, J Fan IEEE Transactions on Image Processing 27 (10), 4740-4755, 2018 | 37 | 2018 |
| 3D graph anatomy geometry-integrated network for pancreatic mass segmentation, diagnosis, and quantitative patient management T Zhao, K Cao, J Yao, I Nogues, L Lu, L Huang, J Xiao, Z Yin, L Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 33 | 2021 |
| Bronchus segmentation and classification by neural networks and linear programming T Zhao, Z Yin, J Wang, D Gao, Y Chen, Y Mao Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 29 | 2019 |
| Pyramid-based fully convolutional networks for cell segmentation T Zhao, Z Yin Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 21 | 2018 |
| Deep mixture of diverse experts for large-scale visual recognition T Zhao, Q Chen, Z Kuang, J Yu, W Zhang, J Fan IEEE transactions on pattern analysis and machine intelligence 41 (5), 1072-1087, 2018 | 15 | 2018 |
| Airway anomaly detection by prototype-based graph neural network T Zhao, Z Yin Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 2 | 2021 |
| Deep mixture of experts with diverse task spaces J Fan, T Zhao, Z Kuang, Z Yu, J Yu 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 2 | 2017 |
| Method, device, and storage medium for pancreatic mass segmentation, diagnosis, and quantitative patient management T Zhao, K Cao, L Zhang, J Yao, L Lu US Patent 11,900,592, 2024 | 1 | 2024 |
| Image data analytics to support engineers’ decision-making T Zhao, Z Yin, R Qin, G Chen | 1 | 2019 |
| Prototype-Based Pulmonary Image Segmentation, Airway Reconstruction and Anomaly Detection T Zhao State University of New York at Stony Brook, 2022 | | 2022 |
| A Training Framework of Robotic Operation and Image Analysis for Decision-Making in Bridge Inspection and Preservation R Qin, G Chen, S Long, Z Yin, S Louis, MM Karim, T Zhao Missouri University of Science and Technology, 2020 | | 2020 |
| Enhanced convolutional neural network for image segmentation T Zhao, J Wang, D Gao, Y Chen US Patent App. 10/140,544, 2018 | | 2018 |
| Fast learning discriminative dictionaries for large-scale visual recognition T Zhao, Y Qu, J Fan 2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP …, 2015 | | 2015 |
