Area of research
Biomedical Engineering · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Nanoplatforms for cancer theranostics, Radiomics and Machine Learning in Medical Imaging, Glioma Diagnosis and Treatment, and Lung Cancer Treatments and Mutations.
Traditional pediatric massage enhanced the skeletal muscle mass in OVA-exposed adolescent rats via regulating SCFAs-FFAR2-IGF-1/AKT pathway
Histogram Analysis of Advanced Diffusion-weighted MRI Models for Evaluating the Grade and Proliferative Activity of Meningiomas.
Hemodynamics of distal cerebral arteries are associated with functional outcomes in symptomatic ischemic stroke in middle cerebral artery territory: A four-dimensional flow cardiovascular magnetic resonance study.
Identification of two distinct molecular endotypes in cough-variant asthma based on sputum transcriptomics and clinical pathophysiological features
Analysis of clinical effect of comprehensive nursing on patients with slow transit constipation after laparoscopic surgery
Development of a Preoperative Prediction Model Based on Spectral CT to Evaluate Axillary Lymph Node With Macrometastases in Clinical T1/2N0 Invasive Breast Cancer.
Anatomical location-related hemodynamic variations are associated with atherosclerosis in the middle cerebral artery: a preliminary cross-sectional 4D flow and 3D vessel wall MRI study.
Development and validation of machine learning models for diagnosis and prognosis of lung adenocarcinoma, and immune infiltration analysis
IL-22 activates the PI3K-AKT pathway to promote colorectal cancer cell proliferation and metastasis
The value of diffusion-weighted imaging in the natural history of meningiomas: a predictor of tumor growth.
Targeted nanotheranostics for the treatment of epilepsy through in vivo hijacking of locally activated macrophages.
Whole-tumor histogram models based on quantitative maps from synthetic MRI for predicting axillary lymph node status in invasive ductal breast cancer.
Tumor-targeting polymer nanohybrids with amplified ROS generation for combined photodynamic and chemodynamic therapy.
T1 and ADC histogram parameters may be an in vivo biomarker for predicting the grade, subtype, and proliferative activity of meningioma.
Non-invasively Discriminating the Pathological Subtypes of Non-small Cell Lung Cancer with Pretreatment 18F-FDG PET/CT Using Deep Learning
Histogram analysis of mono-exponential, bi-exponential and stretched-exponential diffusion-weighted MR imaging in predicting consistency of meningiomas.
Perfluorooctyl bromide nanoemulsions holding MnO<sub>2</sub> nanoparticles with dual-modality imaging and glutathione depletion enhanced HIFU-eliciting tumor immunogenic cell death.
Tumor-targeting biomimetic sonosensitizer-conjugated iron oxide nanocatalysts for combinational chemodynamic-sonodynamic therapy of colorectal cancer.
Versatile nanocomposite augments high-intensity focused ultrasound for high-efficacy sonodynamic therapy of glioma
Iodine map histogram metrics in early-stage breast cancer: prediction of axillary lymph node metastasis status.
MRI features of responsible contacts in vascular compressive trigeminal neuralgia and prediction modeling.
Prediction and management of strangulated bowel obstruction: a multi-dimensional model analysis.
Predicting Chemo-Radiotherapy Sensitivity With Concordant Survival Benefit in Non-Small Cell Lung Cancer via Computed Tomography Derived Radiomic Features
Imaging characteristics of esophageal cancer in multi-slice spiral CT and barium meal radiography and their early diagnostic value
Segmentation of HE-stained meningioma pathological images based on pseudo-labels.
Nuclei segmentation of HE stained histopathological images based on feature global delivery connection network.
Perfluorooctyl bromide nanoemulsions holding MnO2 nanoparticles with dual-modality imaging and glutathione depletion enhanced HIFU-eliciting tumor immunogenic cell death
A Novel MRI-Based Risk Stratification Algorithm for Predicting Postoperative Recurrence of Meningioma: More Benefits to Patients.
Mutant IDH1 Enhances Temozolomide Sensitivity via Regulation of the ATM/CHK2 Pathway in Glioma
Histogram analysis in predicting the grade and histological subtype of meningiomas based on diffusion kurtosis imaging.