Michael T. C. Ying

According to our database, Michael T. C. Ying authored at least 6 papers between 2016 and 2025.

Collaborative distances:

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

2025

Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis.

Jingguo Qu, Xinyang Han, Tonghuan Xiao, Jia Ai, Juan Wu, Tong Zhao, Jing Qin, Ann Dorothy King, Winnie Chiu-Wing Chu, Jing Cai, Michael T. C. Ying

CoRR, June, 2025

The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review.

Jingguo Qu, Xinyang Han, Man-Lik Chui, Yao Pu, Simon Takadiyi Gunda, Ziman Chen, Jing Qin, Ann Dorothy King, Winnie Chiu-Wing Chu, Jing Cai, Michael T. C. Ying

IEEE Access, 2025

2024

Using ultrafast angio planewave ultrasensitive and conventional doppler imaging techniques to assess intramuscular blood perfusion in older adults.

Tiev Miller, Nonhlanhla Chambara, Michael T. C. Ying, Marco Y. C. Pang

BMC Medical Imaging, 2024

2019

Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images.

Yizhe Zhang, Michael T. C. Ying, Danny Z. Chen

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

2018

BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation.

Lin Yang, Yizhe Zhang, Zhuo Zhao, Hao Zheng, Peixian Liang, Michael T. C. Ying, Anil T. Ahuja, Danny Z. Chen

CoRR, 2018

2016

Coarse-to-Fine Stacked Fully Convolutional Nets for lymph node segmentation in ultrasound images.

Yizhe Zhang, Michael T. C. Ying, Lin Yang, Anil T. Ahuja, Danny Z. Chen

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