| A review of object detection based on deep learning Y Xiao, Z Tian, J Yu, Y Zhang, S Liu, S Du, X Lan Multimedia Tools and Applications 79, 23729-23791, 2020 | 547 | 2020 |
| Fully convolutional grasp detection network with oriented anchor box X Zhou, X Lan, H Zhang, Z Tian, Y Zhang, N Zheng 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 233 | 2018 |
| Roi-based robotic grasp detection for object overlapping scenes H Zhang, X Lan, S Bai, X Zhou, Z Tian, N Zheng 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 199 | 2019 |
| Superpixel-based Segmentation for 3D Prostate MR Images Z Tian, L Liu, Z Zhang, B Fei IEEE Transactions on Medical Imaging, 2016 | 186 | 2016 |
| PSNet: prostate segmentation on MRI based on a convolutional neural network Z Tian, L Liu, Z Zhang, B Fei Journal of medical imaging 5 (2), 021208-021208, 2018 | 129 | 2018 |
| Computer-aided detection of prostate cancer with MRI: technology and applications L Liu, Z Tian, Z Zhang, B Fei Academic radiology 23 (8), 1024-1046, 2016 | 101 | 2016 |
| C-cam: Causal cam for weakly supervised semantic segmentation on medical image Z Chen, Z Tian, J Zhu, C Li, S Du Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 100 | 2022 |
| Regnet: Region-based grasp network for end-to-end grasp detection in point clouds B Zhao, H Zhang, X Lan, H Wang, Z Tian, N Zheng 2021 IEEE international conference on robotics and automation (ICRA), 13474 …, 2021 | 98 | 2021 |
| A supervoxel-based segmentation for prostate MR images Z Tian, L Liu, B Fei Proc. SPIE Medical Imaging, 2015 | 79* | 2015 |
| Visual manipulation relationship network for autonomous robotics H Zhang, X Lan, X Zhou, Z Tian, Y Zhang, N Zheng 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids …, 2018 | 78 | 2018 |
| A real-time robotic grasping approach with oriented anchor box H Zhang, X Zhou, X Lan, J Li, Z Tian, N Zheng IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (5), 3014-3025, 2019 | 68 | 2019 |
| Graph‐convolutional‐network‐based interactive prostate segmentation in MR images Z Tian, X Li, Y Zheng, Z Chen, Z Shi, L Liu, B Fei Medical physics 47 (9), 4164-4176, 2020 | 64 | 2020 |
| Comprehensive multi-view representation learning Q Zheng, J Zhu, Z Li, Z Tian, C Li Information Fusion 89, 198-209, 2023 | 57 | 2023 |
| Action recognition based on RGB and skeleton data sets: A survey R Yue, Z Tian, S Du Neurocomputing 512, 287-306, 2022 | 57 | 2022 |
| Deep convolutional neural network for prostate MR segmentation Z Tian, L Liu, B Fei Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and …, 2017 | 56 | 2017 |
| Simultaneous arteriole and venule segmentation with domain-specific loss function on a new public database X Xu, R Wang, P Lv, B Gao, C Li, Z Tian, T Tan, F Xu Biomedical optics express 9 (7), 3153-3166, 2018 | 53 | 2018 |
| Constrained bilinear factorization multi-view subspace clustering Q Zheng, J Zhu, Z Tian, Z Li, S Pang, X Jia Knowledge-Based Systems 194, 105514, 2020 | 45 | 2020 |
| A fully automatic multi-atlas based segmentation method for prostate MR images Z Tian, L Liu, B Fei Proc. SPIE Medical Imaging, 2015 | 43 | 2015 |
| Multi-view subspace clustering networks with local and global graph information Q Zheng, J Zhu, Y Ma, Z Li, Z Tian Neurocomputing 449, 15-23, 2021 | 42 | 2021 |
| Multi-step medical image segmentation based on reinforcement learning Z Tian, X Si, Y Zheng, Z Chen, X Li Journal of Ambient Intelligence and Humanized Computing, 1-12, 2022 | 39 | 2022 |
Shaoyi DuInstitute of Artificial Intelligence and Robotics, Xi'an Jiaotong UniversityZweryfikowany adres z xjtu.edu.cn