Qian Yu

发表

Machine learning-based CT radiomics model for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection: A multicenter study

X. Qi, J. Lei, Zicheng Jiang, 2020, medRxiv.

Multicenter cohort study demonstrates more consolidation in upper lungs on initial CT increases the risk of adverse clinical outcome in COVID-19 patients

Z. Zhao, Songqiao Liu, Qian Yu, 2020, Theranostics.

Dynamic evolution of COVID-19 on chest computed tomography: experience from Jiangsu Province of China

Zhen Zhao, Yizhou Yu, Shenghong Ju, 2020, European Radiology.

Altered amplitude of low‐frequency fluctuation in basal ganglia correlates to pulmonary ventilation function in COPD patients: A resting‐state fMRI study

Chun-Qiang Lu, Qian Yu, Yuancheng Wang, 2019, Brain and behavior.

Radiomics Analysis on Multiphase Contrast-Enhanced CT: A Survival Prediction Tool in Patients With Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization

Guanyu Yang, Chun-Qiang Lu, Qian Yu, 2020, Frontiers in Oncology.

Distribution Atlas of COVID-19 Pneumonia on Computed Tomography: A Deep Learning Based Description

Qian Yu, Yuancheng Wang, Shan Huang, 2021, Phenomics.

Radiomics-based method for diagnosis of calciphylaxis in patients with chronic kidney disease using computed tomography.

Shenghong Ju, Jinqiang Liu, Qian Yu, 2021, Quantitative imaging in medicine and surgery.

Adding Value of Chest CT Images to a Personalized Prognostic Model in Acute Respiratory Distress Syndrome: A Retrospective Study

Shenghong Ju, Qian Yu, Yuancheng Wang, 2021 .

Measuring Brown Fat Using MRI and Implications in the Metabolic Syndrome

Qian Yu, Yuancheng Wang, Shan Huang, 2020, Journal of magnetic resonance imaging : JMRI.

An imaging-based artificial intelligence model for non-invasive grading of hepatic venous pressure gradient in cirrhotic portal hypertension

Chengyan Wang, Chun-Qiang Lu, Shenghong Ju, 2022, Cell reports. Medicine.

Comparison of MRI and CT for the Prediction of Microvascular Invasion in Solitary Hepatocellular Carcinoma Based on a Non‐Radiomics and Radiomics Method: Which Imaging Modality Is Better?

Chun-Qiang Lu, Qian Yu, S. Ju, 2021, Journal of magnetic resonance imaging : JMRI.

Preoperative Microvascular Invasion Prediction to Assist in Surgical Plan for Single Hepatocellular Carcinoma: Better Together with Radiomics

Chun-Qiang Lu, Shenghong Ju, Qian Yu, 2022, Annals of Surgical Oncology.

Spleen volume-based non-invasive tool for predicting hepatic decompensation in people with compensated cirrhosis (CHESS1701)

Chun-Qiang Lu, Shenghong Ju, Xianghui Qi, 2022, JHEP reports : innovation in hepatology.

Non-invasive score using non-contrast-enhanced MRI for identification of clinically significant portal hypertension (CHESS1802): a prospective, multicentre study

J. Lei, Shenghong Ju, Tianyu Tang, 2019, The Lancet.

Deep Convolutional Neural Network-aided Detection of Portal Hypertension in Patients With Cirrhosis.

Xiaoshun He, Zaiyi Liu, Jie Tian, 2020, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

Predicting Microvascular Invasion in Hepatocellular Carcinoma Using CT-based Radiomics Model.

Shenghong Ju, Qian Yu, Tao Zhang, 2023, Radiology.

Carvedilol to prevent decompensation of liver cirrhosis in patients with clinically signiﬁcant portal hypertension stratiﬁed by novel non-invasive model

Fang Wang, Y. Hiasa, Y. Wong, 2023 .

An imaging-based machine learning model outperforms clinical risk scores for prognosis of cirrhotic variceal bleeding

Shenghong Ju, Qian Yu, Chuanjun Xu, 2023, European Radiology.