Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research focused on Artificial intelligence and Adaptation (eye), with related work in Inpainting, Segmentation, Dasatinib. Notable publications include 'Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives', 'Contextual-Based Image Inpainting: Infer, Match, and Translate', and 'Projections of the Stroke Burden at the Global, Regional, and National Levels up to 2050 Based on the Global Burden of Disease Study 2021'.
Artificial intelligence-assisted detection of nasopharyngeal carcinoma on endoscopic images: a national, multicentre, model development and validation study
Projections of the Stroke Burden at the Global, Regional, and National Levels up to 2050 Based on the Global Burden of Disease Study 2021
Development and Validation of a Deep-Learning Network for Detecting Congenital Heart Disease from Multi-View Multi-Modal Transthoracic Echocardiograms
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
Classification-aware Semi-supervised Domain Adaptation
Contextual-Based Image Inpainting: Infer, Match, and Translate
Chemoproteomics‐Aided Medicinal Chemistry for the Discovery of EPHA2 Inhibitors
Development of a heterologous enzyme-linked immunosorbent assay for organophosphorus pesticides with phage-borne peptide