Area of research
Radiology, Nuclear Medicine and Imaging · Pathology and Forensic Medicine
Research interest
Research interests include Ultrasound Imaging and Elastography, Breast Lesions and Carcinomas, Hepatocellular Carcinoma Treatment and Prognosis, and AI in cancer detection.
Exploring the Application of Contrast-Enhanced Ultrasound in ACR BI-RADS 4A Lesions (≤ 2 cm): A Prospective Multicenter Study in China.
Chinese Association of Ultrasound in Medicine and Engineering, Superficial Organs and Peripheral Vessels Committee Expert Consensus on Selected Common Clinical Issues in Parathyroid Ultrasound (2024 Edition)
Contrast-enhanced ultrasound enables precision diagnosis of preoperative muscle invasion in bladder cancer: a prospective study.
Correlation Analysis of Lower Limb Venous Dilation in Patients With Diabetic Foot Ulcers.
Ultrasound strain elastography to improve diagnostic performance of breast lesions by reclassifying BI-RADS 3 and 4a lesions: a multicentre diagnostic study
Rho GTPase-activating protein 1 promotes hepatocellular carcinoma progression via modulation by CircPIP5K1A/MiR-101-3p.
ZEB1-mediated biogenesis of circNIPBL sustains the metastasis of bladder cancer via Wnt/β-catenin pathway
Preoperative prediction of macrotrabecular-massive hepatocellular carcinoma based on B-Mode US and CEUS.
A Practical CEUS Thyroid Reporting System for Thyroid Nodules
Extracting keyframes of breast ultrasound video using deep reinforcement learning
Targeting PI3K<i>γ</i>/AKT Pathway Remodels LC3‐Associated Phagocytosis Induced Immunosuppression After Radiofrequency Ablation
A Practical CEUS Thyroid Reporting System for Thyroid Nodules.
Targeting PI3Kγ/AKT Pathway Remodels LC3-Associated Phagocytosis Induced Immunosuppression After Radiofrequency Ablation.
A Flexible and Fully Autonomous Breast Ultrasound Scanning System
Diagnosis of hepatocellular carcinoma using deep network with multi-view enhanced patterns mined in contrast-enhanced ultrasound data
Enhancing Performance of Breast Ultrasound in Opportunistic Screening Women by a Deep Learning-Based System: A Multicenter Prospective Study
Gail model and fifth edition of ultrasound BI‐RADS help predict axillary lymph node metastasis in breast cancer—A multicenter prospective study
Can Ultrasound Elastography Help Better Manage Mammographic BI-RADS Category 4 Breast Lesions?
2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS
Deep Learning-Based Radiomics of B-Mode Ultrasonography and Shear-Wave Elastography: Improved Performance in Breast Mass Classification
Differently Charged Super-Paramagnetic Iron Oxide Nanoparticles Preferentially Induced M1-Like Phenotype of Macrophages
Deep Learning-Based Radiomics of B-Mode Ultrasonography and Shear-Wave Elastography: Improved Performance in Breast Mass Classification.
Shape Matters: Comprehensive Analysis of Star-Shaped Lipid Nanoparticles
The Utility of the Fifth Edition of the BI-RADS Ultrasound Lexicon in Category 4 Breast Lesions: A Prospective Multicenter Study in China
Risk-predicted dual nomograms consisting of clinical and ultrasound factors for downgrading BI-RADS category 4a breast lesions - A multiple centre study
Variability in the interpretation of grey-scale ultrasound features in assessing thyroid nodules: A systematic review and meta-analysis.
Association of survival and genomic mutation signature with immunotherapy in patients with hepatocellular carcinoma.
Gail Model Improves the Diagnostic Performance of the Fifth Edition of Ultrasound BI-RADS for Predicting Breast Cancer: A Multicenter Prospective Study
Ultrasound Molecular Imaging as a Potential Non-invasive Diagnosis to Detect the Margin of Hepatocarcinoma via CSF-1R Targeting.
Can Combined Screening of Ultrasound and Elastography Improve Breast Cancer Identification Compared with MRI in Women with Dense Breasts-a Multicenter Prospective Study