Area of research
Radiology, Nuclear Medicine and Imaging · Pulmonary and Respiratory Medicine
Research interest
Research interests include Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment, COVID-19 diagnosis using AI, and COVID-19 Clinical Research Studies.
Characterization and warning criteria of metro rail corrugation based on vibration and noise data fusion
Ferroptosis-related proteins ALOX15 and HMOX1 are upregulated and associated with inflammation in patients with diabetic nephropathy: a prospective cross-sectional study
Comprehensive analysis of TRIM56’s prognostic value and immune infiltration in Pan-Cancer
<i>In vitro</i> and clinical evaluation of platelet-rich plasma combined with angioplasty in diabetic foot treatment
Habitat Imaging With Tumoral and Peritumoral Radiomics for Prediction of Lung Adenocarcinoma Invasiveness on Preoperative Chest CT: A Multicenter Study
Realizing real-time optical molecular imaging in peripheral nerve tissue via Rhodamine B
ALKBH5 deletion ameliorates inflammation by regulating IRF3 signaling in an m6A-dependent manner after myocardial infarction
Overexpression of serum HMGB1 and IDO in esophageal squamous cell carcinoma patients: potential clinical auxiliary diagnostic markers and immunotherapeutic targets
Computed Tomography-derived intratumoral and peritumoral radiomics in predicting EGFR mutation in lung adenocarcinoma
Lung radiomics features for characterizing and classifying COPD stage based on feature combination strategy and multi-layer perceptron classifier
Clinical significance of serum IgM and IgG levels in COVID-19 patients in Hubei Province, China
Chest CT for Typical Coronavirus Disease 2019 (COVID-19) Pneumonia: Relationship to Negative RT-PCR Testing
Relation Between Chest CT Findings and Clinical Conditions of Coronavirus Disease (COVID-19) Pneumonia: A Multicenter Study
Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction
The Potential of Radiomics Nomogram in Non-invasively Prediction of Epidermal Growth Factor Receptor Mutation Status and Subtypes in Lung Adenocarcinoma
Toward automatic prediction of <i>EGFR</i> mutation status in pulmonary adenocarcinoma with 3D deep learning
Development and validation of a radiomics nomogram for identifying invasiveness of pulmonary adenocarcinomas appearing as subcentimeter ground-glass opacity nodules
Preoperative prediction of microvascular invasion of hepatocellular carcinoma with IVIM diffusion-weighted MR imaging and Gd-EOB-DTPA-enhanced MR imaging
Infectious Bronchitis Virus S2 Expressed from Recombinant Virus Confers Broad Protection Against Challenge