Area of research
Radiology, Nuclear Medicine and Imaging · Epidemiology
Research interest
Research focused on Artificial intelligence and Biomarker, with related work in Generative model, Effective diffusion coefficient, Fluid-attenuated inversion recovery. Notable publications include 'Deep learning evaluation of biomarkers from echocardiogram videos', 'Metadata-conditioned generative models to synthesize anatomically-plausible 3D brain MRIs', and 'Abstract 8: Hypoperfusion Lesion And Target Mismatch Prediction In Acute Ischemic Stroke From Baseline Mr Diffusion Imaging Using A 3d Convolutional Neural Network'.
Metadata-conditioned generative models to synthesize anatomically-plausible 3D brain MRIs
Developing prognostic deep learning models in IPF using OSIC dataset.
Abstract 8: Hypoperfusion Lesion And Target Mismatch Prediction In Acute Ischemic Stroke From Baseline Mr Diffusion Imaging Using A 3d Convolutional Neural Network
Deep learning evaluation of biomarkers from echocardiogram videos
Abstract WP79: The Value of Pre-Training for Deep Learning Acute Stroke Triaging Models