Xiaoming Li
Third Military Medical University
18 Papers
Xiaoming Li is an academic researcher from Third Military Medical University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 2, co-authored 5 publications.
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Papers
Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images
Jun Wang,Yiming Bao,Yaofeng Wen,Hongbing Lu,Hu Luo,Yunfei Xiang,Xiaoming Li,Chen Liu,Dahong Qian +8 more
TL;DR: A conceptually simple framework that can efficiently predict whether or not a CT scan contains pneumonia while simultaneously identifying pneumonia types between COVID-19 and Interstitial Lung Disease (ILD) caused by other viruses is proposed.
CT imaging changes of corona virus disease 2019(COVID-19): a multi-center study in Southwest China.
Xiaoming Li,Wenbing Zeng,Xiang Li,Haonan Chen,Linping Shi,Xinghui Li,Hongnian Xiang,Yang Cao,Hui Chen,Chen Liu,Jian Wang +10 more
TL;DR: The imaging pattern of multifocal peripheral ground glass or mixed consolidation is highly suspicious of COVID-19, that can quickly change over a short period of time.
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation
Geng-Xin Xu,Chen Liu,Jun Liu,Zhongxiang Ding,Feng Shi,Man Guo,Wei Zhao,Xiaoming Li,Ying Wei,Yaozong Gao,Chuan-Xian Ren,Dinggang Shen +11 more
TL;DR: Wang et al. as mentioned in this paper proposed a novel domain adaptation (DA) method with two components to address the problems including class imbalance between mild and severe infections, domain distribution discrepancy between sites, and presence of heterogeneous features.
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Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation.
Geng-Xin Xu,Chen Liu,Jun Liu,Zhongxiang Ding,Feng Shi,Man Guo,Wei Zhao,Xiaoming Li,Ying Wei,Yaozong Gao,Chuan-Xian Ren,Dinggang Shen +11 more
TL;DR: Wang et al. as mentioned in this paper proposed a novel domain adaptation (DA) method with two components to address the problems including class imbalance between mild and severe infections, domain distribution discrepancy between sites, and presence of heterogeneous features.
Preoperative Prediction of Microvascular Invasion Risk Grades in Hepatocellular Carcinoma Based on Tumor and Peritumor Dual-Region Radiomics Signatures
Fang Hu,Yuhan Zhang,Man Li,Chen Liu,Handan Zhang,Xiaoming Li,Sanyuan Liu,Xiaofei Hu,Jian Wang +8 more
TL;DR: The radiomics signatures of the dual regions for tumor and peritumor on AP and PVP images are of significance to predict MVI, according to AP, PVP, T1WI, and HBP images.
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