Fangzhou Liao

According to our database, Fangzhou Liao authored at least 11 papers between 2017 and 2021.

Collaborative distances:

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

2021

Multi-stage learning for segmentation of aortic dissections using a prior aortic anatomy simplification.

Duanduan Chen, Xuyang Zhang, Yuqian Mei, Fangzhou Liao, Huanming Xu, Zhenfeng Li, Qianjiang Xiao, Wei Guo, Hongkun Zhang, Tianyi Yan, Jiang Xiong, Yiannis Ventikos

Medical Image Anal., 2021

2020

Automatic Identification of Coronary Arteries in Coronary Computed Tomographic Angiography.

Cheng-Jun Zhang, Denghui Xia, Chao Zheng, Jianyong Wei, Yu Cui, Yanzhen Qu, Fangzhou Liao

IEEE Access, 2020

Automatic Cerebral Artery System Labeling Using Registration and Key Points Tracking.

Mengjun Shen, Jianyong Wei, Jitao Fan, Jianlong Tan, Zhenchang Wang, Zhenghan Yang, Penggang Qiao, Fangzhou Liao

Proceedings of the Knowledge Science, Engineering and Management, 2020

2019

Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network.

Fangzhou Liao, Ming Liang, Zhe Li, Xiaolin Hu, Sen Song

IEEE Trans. Neural Networks Learn. Syst., 2019

Estimation of the Volume of the Left Ventricle From MRI Images Using Deep Neural Networks.

Fangzhou Liao, Xi Chen, Xiaolin Hu, Sen Song

IEEE Trans. Cybern., 2019

2018

Adversarial Attacks and Defences Competition.

Alexey Kurakin, Ian J. Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe

CoRR, 2018

Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser.

Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Boosting Adversarial Attacks With Momentum.

Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, Jianguo Li

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network.

Fangzhou Liao, Ming Liang, Zhe Li, Xiaolin Hu, Sen Song

CoRR, 2017

Discovering Adversarial Examples with Momentum.

Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Xiaolin Hu, Jun Zhu

CoRR, 2017

Reservoir Computing with a Small-World Network for Discriminating Two Sequential Stimuli.

Ke Bai, Fangzhou Liao, Xiaolin Hu

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017