Area of research
Radiology, Nuclear Medicine and Imaging · Artificial Intelligence
Research interest
Research focused on Nomogram and Colorectal cancer, with related work in Coronavirus disease 2019 (COVID-19), Acarbose, Observational study. Notable publications include 'Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning', 'The Role of Imaging in the Detection and Management of COVID-19: A Review', and 'Effects of acarbose on cardiovascular and diabetes outcomes in patients with coronary heart disease and impaired glucose tolerance (ACE): a randomised, double-blind,...'.
Ferroptosis and its role in osteoarthritis: mechanisms, biomarkers, and therapeutic perspectives
Fault detection and fault-tolerant control of autonomous steering system for intelligent vehicles combining Bi-LSTM and SPRT
Spin mapping of intralayer antiferromagnetism and field-induced spin reorientation in monolayer CrTe2
The pathological risk score: A new deep learning‐based signature for predicting survival in cervical cancer
Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study
Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A multicentre study
A two-center radiomic analysis for differentiating major depressive disorder using multi-modality MRI data under different parcellation methods
The Role of Imaging in the Detection and Management of COVID-19: A Review
Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer
Multiparametric MRI and Whole Slide Image-Based Pretreatment Prediction of Pathological Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer: A Multicenter Radiopathomic Study
Deep learning radiomics of ultrasonography: Identifying the risk of axillary non-sentinel lymph node involvement in primary breast cancer
Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning
Radiomics-Based Pretherapeutic Prediction of Non-response to Neoadjuvant Therapy in Locally Advanced Rectal Cancer
Identification of Cognitive Dysfunction in Patients with T2DM Using Whole Brain Functional Connectivity
Building CT Radiomics Based Nomogram for Preoperative Esophageal Cancer Patients Lymph Node Metastasis Prediction
Radiomics analysis allows for precise prediction of epilepsy in patients with low-grade gliomas
Association Between TGF-β1 Polymorphisms and Asthma Susceptibility Among the Chinese: A Meta-Analysis
Effects of acarbose on cardiovascular and diabetes outcomes in patients with coronary heart disease and impaired glucose tolerance (ACE): a randomised, double-blind, placebo-controlled trial
2D and 3D CT Radiomics Features Prognostic Performance Comparison in Non-Small Cell Lung Cancer
A multi-view deep convolutional neural networks for lung nodule segmentation
Grading of Gliomas by Using Radiomic Features on Multiple Magnetic Resonance Imaging (MRI) Sequences
Manipulation of and Sustained Effects on the Human Brain Induced by Different Modalities of Acupuncture: An fMRI Study