Tianbai Yu

According to our database, Tianbai Yu authored at least 7 papers between 2022 and 2026.

Collaborative distances:

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

2026

Hi-PET: A hybrid framework for resource-efficient 3D low-dose brain positron emission tomography image denoising.

Fangji Qian, Yanyan Huang, Yuanxue Gao, Tianbai Yu, Yu Fu

Neurocomputing, 2026

2025

Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery.

Shiji Zhou, Tianbai Yu, Zhi Zhang, Heng Chang, Xiao Zhou, Dong Wu, Han Zhao

CoRR, October, 2025

2023

AIGAN: Attention-encoding Integrated Generative Adversarial Network for the reconstruction of low-dose CT and low-dose PET images.

Yu Fu, Shunjie Dong, Meng Niu, Le Xue, Hanning Guo, Yanyan Huang, Yuanfan Xu, Tianbai Yu, Kuangyu Shi, Qianqian Yang, Yiyu Shi, Hong Zhang, Mei Tian, Cheng Zhuo

Medical Image Anal., May, 2023

SFCNEXT: A Simple Fully Convolutional Network for Effective Brain Age Estimation with Small Sample Size.

Yu Fu, Yanyan Huang, Shunjie Dong, Yalin Wang, Tianbai Yu, Meng Niu, Cheng Zhuo

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

DeU-Net 2.0: Enhanced deformable U-Net for 3D cardiac cine MRI segmentation.

Shunjie Dong, Zixuan Pan, Yu Fu, Qianqian Yang, Yuanxue Gao, Tianbai Yu, Yiyu Shi, Cheng Zhuo

Medical Image Anal., 2022

A Resource-Efficient Deep Learning Framework for Low-Dose Brain Pet Image Reconstruction and Analysis.

Yu Fu, Shunjie Dong, Yi Liao, Le Xue, Yuanfan Xu, Feng Li, Qianqian Yang, Tianbai Yu, Mei Tian, Cheng Zhuo

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Application of machine learning and neural networks in fire data analysis.

Tianbai Yu, Yaqi Liu

Proceedings of the CAIBDA 2022, 2022