Ligong Lu

According to our database, Ligong Lu authored at least 10 papers between 2019 and 2023.

Collaborative distances:

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

2023

Comparison Between the Stereoscopic Virtual Reality Display System and Conventional Computed Tomography Workstation in the Diagnosis and Characterization of Cerebral Arteriovenous Malformations.

Xiujuan Liu, Jun Mao, Ning Sun, Xiangrong Yu, Lei Chai, Ye Tian, Jianming Wang, Jianchao Liang, Haiquan Tao, Zhishun Wang, Ligong Lu

J. Digit. Imaging, August, 2023

Deep Learning for Detection of Intracranial Aneurysms from Computed Tomography Angiography Images.

Xiujuan Liu, Jun Mao, Ning Sun, Xiangrong Yu, Lei Chai, Ye Tian, Jianming Wang, Jianchao Liang, Haiquan Tao, Lihua Yuan, Jiaming Lu, Yang Wang, Bing Zhang, Kaihua Wu, Yiding Wang, Mengjiao Chen, Zhishun Wang, Ligong Lu

J. Digit. Imaging, February, 2023

2022

Prior Knowledge-Aware Fusion Network for Prediction of Macrovascular Invasion in Hepatocellular Carcinoma.

Haoran Lai, Sirui Fu, Jie Zhang, Jianyun Cao, Qianjin Feng, Ligong Lu, Meiyan Huang

IEEE Trans. Medical Imaging, 2022

DBFU-Net: Double branch fusion U-Net with hard example weighting train strategy to segment retinal vessel.

Jianping Huang, Zefang Lin, Yingyin Chen, Xiao Zhang, Wei Zhao, Jie Zhang, Yong Li, Xu He, Meixiao Zhan, Ligong Lu, Xiaofei Jiang, Yongjun Peng

PeerJ Comput. Sci., 2022

Two-stage hybrid network for segmentation of COVID-19 pneumonia lesions in CT images: a multicenter study.

Yaxin Shang, Zechen Wei, Hui Hui, Xiaohu Li, Liang Li, Yongqiang Yu, Ligong Lu, Li Li, Hongjun Li, Qi Yang, Meiyun Wang, Meixiao Zhan, Wei Wang, Guanghao Zhang, Xiangjun Wu, Li Wang, Jie Liu, Jie Tian, Yunfei Zha

Medical Biol. Eng. Comput., 2022

A Hybrid Medical Causal Inference Platform Based on Data Lake.

Peng Ren, Xingyue Liu, Shuxin Zheng, Lijun Liao, Xin Li, Ligong Lu, Xia Wang, Ruoyu Wang, Ming Sheng

Proceedings of the Health Information Science - 11th International Conference, 2022

2021

A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study.

Siwen Wang, Di Dong, Liang Li, Hailin Li, Yan Bai, Yahua Hu, Yuanyi Huang, Xiangrong Yu, Sibin Liu, Xiaoming Qiu, Ligong Lu, Meiyun Wang, Yunfei Zha, Jie Tian

IEEE J. Biomed. Health Informatics, 2021

A high resolution representation network with multi-path scale for retinal vessel segmentation.

Zefang Lin, Jianping Huang, Yingyin Chen, Xiao Zhang, Wei Zhao, Yong Li, Ligong Lu, Meixiao Zhan, Xiaofei Jiang, Xiong Liang

Comput. Methods Programs Biomed., 2021

Deep learning-based aggressive progression prediction from CT images of hepatocellular carcinoma.

Meiqing Pan, Zhenchao Tang, Sirui Fu, Wei Mu, Jie Zhang, Xiaoqun Li, Hui Zhang, Ligong Lu, Jie Tian

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2019

Development and validation of a radiomics-based method for macrovascular invasion prediction in hepatocellular carcinoma with prognostic implication.

Jingwei Wei, Sirui Fu, Shauitong Zhang, Jie Zhang, Dongsheng Gu, Xiaoqun Li, Xudong Chen, Xiaofeng He, Jianfeng Yan, Ligong Lu, Jie Tian

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019