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Ligong Lu
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2020 – today
- 2024
- [j8]Jianjun Zhu, Cheng Wang, Yi Zhang, Meixiao Zhan, Wei Zhao, Sitong Teng, Ligong Lu, Gaojun Teng:
3D/2D Vessel Registration Based on Monte Carlo Tree Search and Manifold Regularization. IEEE Trans. Medical Imaging 43(5): 1727-1739 (2024) - 2023
- [j7]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:
Deep Learning for Detection of Intracranial Aneurysms from Computed Tomography Angiography Images. J. Digit. Imaging 36(1): 114-123 (2023) - [j6]Xiujuan Liu, Jun Mao, Ning Sun, Xiangrong Yu, Lei Chai, Ye Tian, Jianming Wang, Jianchao Liang, Haiquan Tao, Zhishun Wang, Ligong Lu:
Comparison Between the Stereoscopic Virtual Reality Display System and Conventional Computed Tomography Workstation in the Diagnosis and Characterization of Cerebral Arteriovenous Malformations. J. Digit. Imaging 36(4): 1910-1918 (2023) - 2022
- [j5]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:
Two-stage hybrid network for segmentation of COVID-19 pneumonia lesions in CT images: a multicenter study. Medical Biol. Eng. Comput. 60(9): 2721-2736 (2022) - [j4]Jianping Huang, Zefang Lin, Yingyin Chen, Xiao Zhang, Wei Zhao, Jie Zhang, Yong Li, Xu He, Meixiao Zhan, Ligong Lu, Xiaofei Jiang, Yongjun Peng:
DBFU-Net: Double branch fusion U-Net with hard example weighting train strategy to segment retinal vessel. PeerJ Comput. Sci. 8: e871 (2022) - [j3]Haoran Lai, Sirui Fu, Jie Zhang, Jianyun Cao, Qianjin Feng, Ligong Lu, Meiyan Huang:
Prior Knowledge-Aware Fusion Network for Prediction of Macrovascular Invasion in Hepatocellular Carcinoma. IEEE Trans. Medical Imaging 41(10): 2644-2657 (2022) - [c5]Peng Ren, Xingyue Liu, Shuxin Zheng, Lijun Liao, Xin Li, Ligong Lu, Xia Wang, Ruoyu Wang, Ming Sheng:
A Hybrid Medical Causal Inference Platform Based on Data Lake. HIS 2022: 136-144 - 2021
- [j2]Zefang Lin, Jianping Huang, Yingyin Chen, Xiao Zhang, Wei Zhao, Yong Li, Ligong Lu, Meixiao Zhan, Xiaofei Jiang, Xiong Liang:
A high resolution representation network with multi-path scale for retinal vessel segmentation. Comput. Methods Programs Biomed. 208: 106206 (2021) - [j1]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:
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study. IEEE J. Biomed. Health Informatics 25(7): 2353-2362 (2021) - [c4]Guifang Zhang, Hon-Cheng Wong, Cheng Wang, Jianjun Zhu, Ligong Lu, Gaojun Teng:
A Temporary Transformer Network for Guide- Wire Segmentation. CISP-BMEI 2021: 1-5 - [c3]Jianjun Zhu, Cheng Wang, Guifang Zhang, Sitong Anna Teng, Ligong Lu, Gaojun Teng:
A Multi-Stage Guidewire Tip Tracking Framework for Cardiovascular Robotic Interventions. CISP-BMEI 2021: 1-6 - [c2]Meiqing Pan, Zhenchao Tang, Sirui Fu, Wei Mu, Jie Zhang, Xiaoqun Li, Hui Zhang, Ligong Lu, Jie Tian:
Deep learning-based aggressive progression prediction from CT images of hepatocellular carcinoma. Medical Imaging: Computer-Aided Diagnosis 2021
2010 – 2019
- 2019
- [c1]Jingwei Wei, Sirui Fu, Shauitong Zhang, Jie Zhang, Dongsheng Gu, Xiaoqun Li, Xudong Chen, Xiaofeng He, Jianfeng Yan, Ligong Lu, Jie Tian:
Development and validation of a radiomics-based method for macrovascular invasion prediction in hepatocellular carcinoma with prognostic implication. Medical Imaging: Computer-Aided Diagnosis 2019: 109501N
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