Huanhuan Liu
Shanghai Jiao Tong University
30 Papers
53 Citations
Huanhuan Liu is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Medicine & Magnetic resonance imaging. The author has an hindex of 11, co-authored 22 publications.
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Papers
Clinical and CT imaging features of the COVID-19 pneumonia: Focus on pregnant women and children.
TL;DR: The pulmonary involvement in children with COVID-19 was mild with a focal GGO or consolidation, and the clinically-diagnosed cases were vulnerable to more pulmonary involvement.
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Clinical and CT Imaging Features of the COVID-19 Pneumonia: Focus on Pregnant Women and Children
TL;DR: Atypical clinical findings of pregnant women with COVID-19 could increase the difficulty in initial identification, and CT was the modality of choice for early detection, severity assessment, and timely therapeutic effects evaluation for the cases with epidemic and clinical features of COVID, with or without laboratory confirmation.
Development and validation of a MRI-based radiomics signature for prediction of KRAS mutation in rectal cancer
Yanfen Cui,Huanhuan Liu,Jialiang Ren,Xiaosong Du,Lei Xin,Dandan Li,Xiaotang Yang,Dengbin Wang +7 more
TL;DR: The proposed T2WI-based radiomics signature has a moderate performance to predict KRAS status, and may be useful for supplementing genomic analysis to determine KRAS expression in rectal cancer patients.
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A deep learning model integrating mammography and clinical factors facilitates the malignancy prediction of BI-RADS 4 microcalcifications in breast cancer screening
Huanhuan Liu,Yanhong Chen,Yuzhen Zhang,Lijun Wang,Ran Luo,Haoting Wu,Chenqing Wu,Huiling Zhang,Weixiong Tan,Hongkun Yin,Dengbin Wang +10 more
TL;DR: In this article, the authors investigated the value of full-field digital mammography-based deep learning (DL) in predicting malignancy of Breast Imaging Reporting and Data System (BI-RADS) 4 microcalcifications.
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CT radiomics facilitates more accurate diagnosis of COVID-19 pneumonia: compared with CO-RADS.
Huanhuan Liu,Hua Ren,Zengbin Wu,He Xu,Shuhai Zhang,Jinning Li,Liang Hou,Runmin Chi,Hui Zheng,Yanhong Chen,Shaofeng Duan,Huimin Li,Zongyu Xie,Dengbin Wang +13 more
TL;DR: Wang et al. as discussed by the authors investigated the value of chest CT radiomics for diagnosing COVID-19 pneumonia, and developed an open-source diagnostic tool with the constructed radiomics model.