Jiamin Liang

According to our database, Jiamin Liang authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

OnUVS: Online Feature Decoupling Framework for High-Fidelity Ultrasound Video Synthesis.

Han Zhou, Dong Ni, Ao Chang, Xinrui Zhou, Rusi Chen, Yanlin Chen, Lian Liu, Jiamin Liang, Yuhao Huang, Tong Han, Zhe Liu, Deng-Ping Fan, Xin Yang

CoRR, 2023

2022

Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis.

Jiamin Liang, Xin Yang, Yuhao Huang, Haoming Li, Shuangchi He, Xindi Hu, Zejian Chen, Wufeng Xue, Jun Cheng, Dong Ni

Medical Image Anal., 2022

Weakly-Supervised High-Fidelity Ultrasound Video Synthesis with Feature Decoupling.

Jiamin Liang, Xin Yang, Yuhao Huang, Kai Liu, Xinrui Zhou, Xindi Hu, Zehui Lin, Huanjia Luo, Yuanji Zhang, Yi Xiong, Dong Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Online Reflective Learning for Robust Medical Image Segmentation.

Yuhao Huang, Xin Yang, Xiaoqiong Huang, Jiamin Liang, Xinrui Zhou, Cheng Chen, Haoran Dou, Xindi Hu, Yan Cao, Dong Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

An Improved Channel Estimation Algorithm Based on WD-DDA in OFDM System.

Dan Wang, Zhiqiang Mei, Jiamin Liang, Jinzhi Liu

Mob. Inf. Syst., 2021

2020

Contrastive Rendering for Ultrasound Image Segmentation.

Haoming Li, Xin Yang, Jiamin Liang, Wenlong Shi, Chaoyu Chen, Haoran Dou, Rui Li, Rui Gao, Guangquan Zhou, Jinghui Fang, Xiaowen Liang, Ruobing Huang, Alejandro Frangi, Zhiyi Chen, Dong Ni

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

Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANS.

Jiamin Liang, Xin Yang, Haoming Li, Yi Wang, Manh The Van, Haoran Dou, Chaoyu Chen, Jinghui Fang, Xiaowen Liang, Zixin Mai, Guowen Zhu, Zhiyi Chen, Dong Ni

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020