Tianzhu Liang

According to our database, Tianzhu Liang authored at least 9 papers between 2010 and 2023.

Collaborative distances:

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

2023

An Evolutionary Study of the Impact of Artificial Intelligence Technology on Foreign Language Education.

Tianzhu Liang, Nelson Duarte, Gabriel Xiao-Guang Yue

Int. J. Emerg. Technol. Learn., October, 2023

2020

TexNet: Texture Loss Based Network for Gastric Antrum Segmentation in Ultrasound.

Guohao Dong, Yaoxian Zou, Jiaming Jiao, Yuxi Liu, Shuo Liu, Tianzhu Liang, Chaoyue Liu, Zhijie Chen, Lei Zhu, Dong Ni, Muqing Lin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

ARS-Net: Adaptively Rectified Supervision Network for Automated 3D Ultrasound Image Segmentation.

Chaoyue Liu, Guohao Dong, Muqing Lin, Yaoxian Zou, Tianzhu Liang, Xujin He, Zhijie Chen, Dong Ni, Yi Xiong, Lei Zhu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2016

Erratum to "On Feature Motion Decorrelation in Ultrasound Speckle Tracking".

Tianzhu Liang, Ling Sing Yung, Weichuan Yu

IEEE Trans. Medical Imaging, 2016

FPGA implementation of the coupled filtering method.

Chen Zhang, Tianzhu Liang, Philip K. T. Mok, Weichuan Yu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2013

On Feature Motion Decorrelation in Ultrasound Speckle Tracking.

Tianzhu Liang, Ling Sing Yung, Weichuan Yu

IEEE Trans. Medical Imaging, 2013

2011

Community Detection Through Optimal Density Contrast of Adjacency Matrix.

Tianzhu Liang, Kwok Yip Szeto

Informatica, 2011

2010

Accurate segmentation of ultrasound images using the motion cue.

Xiaowei Zhou, Tianzhu Liang, Weichuan Yu

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

A coupled filtering method to solve feature-motion decorrelation in speckle tracking.

Tianzhu Liang, Weichuan Yu

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010