Area of research
Radiology, Nuclear Medicine and Imaging · Ophthalmology
Research interest
Research interests include Medicine, Artificial intelligence, Diabetic retinopathy, Optical coherence tomography angiography, Optical coherence tomography, and Computer science.
Artificial intelligence in the diagnosis of uveal melanoma: advances and applications
Clinical Applications of Artificial Intelligence in Uveal Melanoma
Colour fusion effect on deep learning classification of uveal melanoma
Deep learning-based optical coherence tomography angiography image construction using spatial vascular connectivity network
Assessing spectral effectiveness in color fundus photography for deep learning classification of retinopathy of prematurity
Differential Capillary and Large Vessel Analysis Improves OCTA Classification of Diabetic Retinopathy
OCTA-ReVA: an open-source toolbox for comprehensive retinal vessel feature analysis in optical coherence tomography angiography
Differential artery-vein analysis improves the OCTA classification of diabetic retinopathy
Optimizing the OCTA layer fusion option for deep learning classification of diabetic retinopathy
Normalized Blood Flow Index in Optical Coherence Tomography Angiography Provides a Sensitive Biomarker of Early Diabetic Retinopathy
An open-source deep learning network AVA-Net for arterial-venous area segmentation in optical coherence tomography angiography
Deep learning for artery–vein classification in optical coherence tomography angiography
COMPARATIVE ANALYSIS OF OCT AND OCT ANGIOGRAPHY CHARACTERISTICS IN EARLY DIABETIC RETINOPATHY