Tao He

According to our database, Tao He authored at least 21 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Neural Memory State Space Models for Medical Image Segmentation.

Zhihua Wang, Jingjun Gu, Wang Zhou, Quansong He, Tianli Zhao, Jialong Guo, Li Lu, Tao He, Jiajun Bu

Int. J. Neural Syst., January, 2025

Enhanced Landmark Detection in Oral and Maxillofacial CT and CBCT Scans: A Multistage Global-Local Integration Approach.

Hailin Zhu, Xiang Li, Tao He, Boyan Liu, Wei Tang, Jixiang Guo

IEEE Trans. Instrum. Meas., 2025

Neural Memory Self-Supervised State Space Models With Learnable Gates.

Zhihua Wang, Yuxin He, Zhang Yi, Tao He, Jiajun Bu

IEEE Signal Process. Lett., 2025

A pseudo-3D coarse-to-fine architecture for 3D medical landmark detection.

Li Cui, Boyan Liu, Guikun Xu, Jixiang Guo, Wei Tang, Tao He

Neurocomputing, 2025

2024

A Bidirectional Feedforward Neural Network Architecture Using the Discretized Neural Memory Ordinary Differential Equation.

Hao Niu, Zhang Yi, Tao He

Int. J. Neural Syst., April, 2024

Anchor Ball Regression Model for large-scale 3D skull landmark detection.

Tao He, Guikun Xu, Li Cui, Wei Tang, Jie Long, Jixiang Guo

Neurocomputing, January, 2024

A novel masking model for Buddhist literature understanding by using Generative Adversarial Networks.

Chaowen Yan, Yong Wang, Lili Chang, Qiang Zhang, Tao He

Expert Syst. Appl., 2024

Strengthening Layer Interaction via Dynamic Layer Attention.

Kaishen Wang, Xun Xia, Jian Liu, Zhang Yi, Tao He

CoRR, 2024

2023

An automatic methodology for full dentition maturity staging from OPG images using deep learning.

Wenxuan Dong, Meng You, Tao He, Jiaqi Dai, Yueting Tang, Yuchao Shi, Jixiang Guo

Appl. Intell., December, 2023

Cascade-refine model for cephalometric landmark detection in high-resolution orthodontic images.

Tao He, Jixiang Guo, Wei Tang, Wei Zeng, Ping He, Fanxin Zeng, Zhang Yi

Knowl. Based Syst., April, 2023

2022

Subtraction Gates: Another Way to Learn Long-Term Dependencies in Recurrent Neural Networks.

Tao He, Hua Mao, Zhang Yi

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

Cephalometric landmark detection by considering translational invariance in the two-stage framework.

Tao He, Jie Yao, Weidong Tian, Zhang Yi, Wei Tang, Jixiang Guo

Neurocomputing, 2021

Automatic differentiation of thyroid scintigram by deep convolutional neural network: a dual center study.

Pei Yang, Yong Pi, Tao He, Jiangming Sun, Jianan Wei, Yongzhao Xiang, Lisha Jiang, Lin Li, Zhang Yi, Zhen Zhao, Huawei Cai

BMC Medical Imaging, 2021

2020

MediMLP: Using Grad-CAM to Extract Crucial Variables for Lung Cancer Postoperative Complication Prediction.

Tao He, Jixiang Guo, Nan Chen, Xiuyuan Xu, Zihuai Wang, Kaiyu Fu, Lunxu Liu, Zhang Yi

IEEE J. Biomed. Health Informatics, 2020

Multi-task learning for the segmentation of organs at risk with label dependence.

Tao He, Junjie Hu, Ying Song, Jixiang Guo, Zhang Yi

Medical Image Anal., 2020

Multilabel classification by exploiting data-driven pair-wise label dependence.

Tao He, Lei Zhang, Jixiang Guo, Zhang Yi

Int. J. Intell. Syst., 2020

2019

Multi-task Learning for the Segmentation of Thoracic Organs at Risk in CT images.

Tao He, Jixiang Guo, Jianyong Wang, Xiuyuan Xu, Zhang Yi

Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, 2019

2017

Moving object recognition using multi-view three-dimensional convolutional neural networks.

Tao He, Hua Mao, Zhang Yi

Neural Comput. Appl., 2017

Cell tracking using deep neural networks with multi-task learning.

Tao He, Hua Mao, Jixiang Guo, Zhang Yi

Image Vis. Comput., 2017

2016

Inferring users' emotions for human-mobile voice dialogue applications.

Boya Wu, Jia Jia, Tao He, Juan Du, Xiaoyuan Yi, Yishuang Ning

Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Learning to Appreciate the Aesthetic Effects of Clothing.

Jia Jia, Jie Huang, Guangyao Shen, Tao He, Zhiyuan Liu, Huan-Bo Luan, Chao Yan

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016