Area of research
Epidemiology · Pulmonary and Respiratory Medicine
Research interest
Research focused on Stroke (engine) and Magnetic resonance imaging, with related work in Triage, Disease, Perfusion. Notable publications include 'Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data', 'Small vessel disease burden predicts functional outcomes in patients with acute ischemic stroke using machine learning', and 'Arterial Spin Labeling‐Based MRI Estimation of Penumbral Tissue in Acute Ischemic Stroke'.
Small vessel disease burden predicts functional outcomes in patients with acute ischemic stroke using machine learning
<scp>MRI</scp> Assessment of Brain Frailty and Clinical Outcome in Patients With Acute Posterior Perforating Artery Infarction
Arterial Spin Labeling‐Based <scp>MRI</scp> Estimation of Penumbral Tissue in Acute Ischemic Stroke
Efficacy and Safety of Finerenone for Prevention of Cardiovascular Events in Type 2 Diabetes Mellitus With Chronic Kidney Disease: A Meta-analysis of Randomized Controlled Trials
Effect of PCSK9 Monoclonal Antibody Versus Placebo/Ezetimibe on Atrial Fibrillation in Patients at High Cardiovascular Risk: A Meta-Analysis of 26 Randomized Controlled Trials
FLAIR vessel hyperintensities predict functional outcomes in patients with acute ischemic stroke treated with medical therapy
Impact of the Alberta Stroke Program CT Score subregions on long-term functional outcomes in acute ischemic stroke: Results from two multicenter studies in China
Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data