| Cell tracking using deep neural networks with multi-task learning T He, H Mao, J Guo, Z Yi Image and Vision Computing 60, 142-153, 2017 | 92 | 2017 |
| Multi-task learning for the segmentation of organs at risk with label dependence T He, J Hu, Y Song, J Guo, Z Yi Medical Image Analysis 61, 101666, 2020 | 85 | 2020 |
| Medimlp: using grad-cam to extract crucial variables for lung cancer postoperative complication prediction T He, J Guo, N Chen, X Xu, Z Wang, K Fu, L Liu, Z Yi IEEE journal of biomedical and health informatics 24 (6), 1762-1771, 2019 | 44 | 2019 |
| Moving object recognition using multi-view three-dimensional convolutional neural networks T He, H Mao, Z Yi Neural computing and applications 28, 3827-3835, 2017 | 38 | 2017 |
| Multi-task Learning for the Segmentation of Thoracic Organs at Risk in CT images. T He, J Guo, J Wang, X Xu, Z Yi SegTHOR@ ISBI, 10-13, 2019 | 32 | 2019 |
| Learning to appreciate the aesthetic effects of clothing J Jia, J Huang, G Shen, T He, Z Liu, H Luan, C Yan Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 25 | 2016 |
| Automatic localization of cephalometric landmarks based on convolutional neural network J Yao, W Zeng, T He, S Zhou, Y Zhang, J Guo, W Tang American Journal of Orthodontics and Dentofacial Orthopedics 161 (3), e250-e259, 2022 | 24 | 2022 |
| Cephalometric landmark detection by considering translational invariance in the two-stage framework T He, J Yao, W Tian, Z Yi, W Tang, J Guo Neurocomputing 464, 15-26, 2021 | 15 | 2021 |
| Inferring users' emotions for human-mobile voice dialogue applications B Wu, J Jia, T He, J Du, X Yi, Y Ning 2016 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2016 | 15 | 2016 |
| Subtraction gates: Another way to learn long-term dependencies in recurrent neural networks T He, H Mao, Z Yi IEEE Transactions on Neural Networks and Learning Systems 33 (4), 1740-1751, 2020 | 14 | 2020 |
| Multilabel classification by exploiting data‐driven pair‐wise label dependence T He, L Zhang, J Guo, Z Yi International Journal of Intelligent Systems 35 (9), 1375-1396, 2020 | 8 | 2020 |
| Cascade-refine model for cephalometric landmark detection in high-resolution orthodontic images T He, J Guo, W Tang, W Zeng, P He, F Zeng, Z Yi Knowledge-Based Systems 265, 110332, 2023 | 5 | 2023 |
| An automatic methodology for full dentition maturity staging from OPG images using deep learning W Dong, M You, T He, J Dai, Y Tang, Y Shi, J Guo Applied Intelligence 53 (23), 29514-29536, 2023 | 2 | 2023 |
| Anchor Ball Regression Model for large-scale 3D skull landmark detection T He, G Xu, L Cui, W Tang, J Long, J Guo Neurocomputing 567, 127051, 2024 | 1 | 2024 |
| Medical Image Segmentation Using Discretized nmODE Q He, T He, Z Yi 2023 International Annual Conference on Complex Systems and Intelligent …, 2023 | | 2023 |
| A Novel Landmark Detection Method for Cephalometric Measurement Q Zhang, J Guo, T He, J Yao, W Tang, Z Yi 2021 IEEE International Conference on Medical Imaging Physics and …, 2021 | | 2021 |
| A Pseudo-3d Coarse-to-Fine Architecture for 3d Medical Landmark Detection L Cui, B Liu, G Xu, J Guo, W Tang, T He Available at SSRN 4822228, 0 | | |
