Area of research
Materials Chemistry · Pulmonary and Respiratory Medicine
Research interest
Research focused on Prostate cancer and Terpenoid, with related work in Stereochemistry, Prostatectomy, Radiomics. Notable publications include 'Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study', 'Machine learning-based radiomics model to predict benign and malignant PI-RADS v2.1 category 3 lesions: a retrospective multi-center study', and 'An adaptive AI-based virtual reality sports system for adolescents with excess body weight: a randomized controlled trial'.
An adaptive AI-based virtual reality sports system for adolescents with excess body weight: a randomized controlled trial
Machine learning-based radiomics model to predict benign and malignant PI-RADS v2.1 category 3 lesions: a retrospective multi-center study
Detecting Adverse Pathology of Prostate Cancer With a Deep Learning Approach Based on a <scp>3D</scp> Swin‐Transformer Model and Biparametric <scp>MRI</scp>: A Multicenter Retrospective Study
Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study
Rhodauricanol A, an analgesic diterpenoid with an unprecedented 5/6/5/7 tetracyclic system featuring a unique 16-oxa-tetracyclo[11.2.1.01,5.07,13]hexadecane core from Rhododendron dauricum
Highly Oxygenated Dimeric Grayanane Diterpenoids as Analgesics: <scp>TRPV1</scp> and <scp>TRPA1</scp> Dual Antagonists from <i>Rhododendron molle</i>
Exploring the catalytic function and active sites of a novel C-glycosyltransferase from Anemarrhena asphodeloides