Xingzhi Xie - researchr alias

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Viewing Publication 1 - 5 from 5

2022

Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT ImagesJianhong Cheng, Wei Zhao, Jin Liu 0012, Xingzhi Xie, Shangjie Wu, Liangliang Liu 0001, Hailin Yue, Junjian Li, Jianxin Wang 0001, Jun Liu 0075. tcbb, 19(5):2723-2736, 2022. [doi]

2021

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT imagesKelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Yinghuan Shi, Feng Shi, Yang Gao 0001, Jun Liu, Junfeng Zhang, Dinggang Shen. PR, 113:107828, 2021. [doi]

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learningZekun Li, Wei Zhao, Feng Shi 0001, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao 0001, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen. mia, 69:101978, 2021. [doi]

An AI-based radiomics nomogram for disease prognosis in patients with COVID-19 pneumonia using initial CT images and clinical indicatorsMudan Zhang, Xianchun Zeng, Chencui Huang, Jun Liu, Xinfeng Liu, Xingzhi Xie, Rongpin Wang. ijmi, 154:104545, 2021. [doi]

SCOAT-Net: A novel network for segmenting COVID-19 lung opacification from CT imagesShixuan Zhao, Zhidan Li, Yang Chen, Wei Zhao, Xingzhi Xie, Jun Liu, Di Zhao, Yongjie Li. PR, 119:108109, 2021. [doi]

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