Tai Ma

According to our database, Tai Ma authored at least 16 papers between 2021 and 2025.

Collaborative distances:

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

2025

TCIP: Threshold-Controlled Iterative Pyramid Network for Deformable Medical Image Registration.

Heming Wu, Di Wang, Tai Ma, Peng Zhao, Yubin Xiao, Zhongke Wu, Xing-Ce Wang, Chuang Li, Xuan Wu, You Zhou

CoRR, October, 2025

SFM-Net: Semantic Feature-Based Multi-Stage Network for Unsupervised Image Registration.

Tai Ma, Xinru Dai, Suwei Zhang, Haidong Zou, Lianghua He, Ying Wen

IEEE J. Biomed. Health Informatics, April, 2025

UniReg: Foundation Model for Controllable Medical Image Registration.

Zi Li, Jianpeng Zhang, Tai Ma, Tony C. W. Mok, Yan-Jie Zhou, Zeli Chen, Xianghua Ye, Le Lu, Dakai Jin

CoRR, March, 2025

Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT.

Zi Li, Ying Chen, Zeli Chen, Yanzhou Su, Tai Ma, Tony C. W. Mok, Yan-Jie Zhou, Yunhao Bai, Zhilin Zheng, Le Lu, Yirui Wang, Jia Ge, Senxiang Yan, Xianghua Ye, Dakai Jin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT.

Zi Li, Ying Chen, Zeli Chen, Yanzhou Su, Tai Ma, Tony C. W. Mok, Yan-Jie Zhou, Yunhai Bai, Zhinlin Zheng, Le Lu, Yirui Wang, Jia Ge, Xianghua Ye, Senxiang Yan, Dakai Jin

CoRR, 2024

IDC-Net: Multi-stage Registration Network Using Intensity Adjustment, Dual-Stream and Cost Volume.

Tai Ma, Xinxin Shan, Xinru Dai, Suwei Zhang, Ying Wen, Lianghua He

Biomed. Signal Process. Control., 2024

RC-Block: Refinement Coefficient for Rectifying Deformation Field.

Suwei Zhang, Tai Ma, Ying Wen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

IIRP-Net: Iterative Inference Residual Pyramid Network for Enhanced Image Registration.

Tai Ma, Suwei Zhang, Jiafeng Li, Ying Wen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A multi-grained unsupervised domain adaptation approach for semantic segmentation.

Luyang Li, Tai Ma, Yue Lu, Qingli Li, Lianghua He, Ying Wen

Pattern Recognit., December, 2023

Prediction of common labels for universal domain adaptation.

Xinxin Shan, Tai Ma, Ying Wen

Neural Networks, August, 2023

PIViT: Large Deformation Image Registration with Pyramid-Iterative Vision Transformer.

Tai Ma, Xinru Dai, Suwei Zhang, Ying Wen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

ScaleNet: Rethinking Feature Interaction from a Scale-Wise Perspective for Medical Image Segmentation.

Yu Feng, Tai Ma, Hao Zeng, Zhengke Xu, Suwei Zhang, Ying Wen

Proceedings of the Advances in Computer Graphics, 2023

2022

KAConv: Kernel attention convolutions.

Xinxin Shan, Tai Ma, YuTao Shen, Jiafeng Li, Ying Wen

Neurocomputing, 2022

TCRNet: Make Transformer, CNN and RNN Complement Each Other.

Xinxin Shan, Tai Ma, Anqi Gu, Haibin Cai, Ying Wen

Proceedings of the IEEE International Conference on Acoustics, 2022

Unsupervised Hierarchical Translation-Based Model for Multi-Modal Medical Image Registration.

Xinru Dai, Tai Ma, Haibin Cai, Ying Wen

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

HAIF: A Hierarchical Attention-Based Model of Filtering Invalid Webpage.

Chaoran Zhou, Jianping Zhao, Tai Ma, Xin Zhou

IEICE Trans. Inf. Syst., 2021