Area of research
Artificial Intelligence · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Artificial intelligence, Pattern recognition (psychology), Computer science, Medicine, Radiomics, and Shearlet.
Molecular heterogeneity of CD30+ peripheral T-cell lymphoma with prognostic significance and therapeutic implications: a retrospective multi-centre study
Radiomics model based on MRI to differentiate spinal multiple myeloma from metastases: A two-center study
Deep Learning Model Based on Dual-Modal Ultrasound and Molecular Data for Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer
Type II collagen facilitates gouty arthritis by regulating MSU crystallisation and inflammatory cell recruitment
Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation
Sonoelastomics for Breast Tumor Classification: A Radiomics Approach with Clustering-Based Feature Selection on Sonoelastography
Joint sparse coding based spatial pyramid matching for classification of color medical image
Shearlet-based texture feature extraction for classification of breast tumor in ultrasound image