Area of research
Radiology, Nuclear Medicine and Imaging · Endocrinology, Diabetes and Metabolism
Research interest
Research interests include Medicine, Magnetic resonance imaging, Computer science, Perfusion, Nuclear medicine, and Artificial intelligence.
Abstract 8: Hypoperfusion Lesion And Target Mismatch Prediction In Acute Ischemic Stroke From Baseline Mr Diffusion Imaging Using A 3d Convolutional Neural Network
Low-count whole-body PET with deep learning in a multicenter and externally validated study
Applying Deep Learning to Accelerated Clinical Brain Magnetic Resonance Imaging for Multiple Sclerosis
Author Correction: Low-count whole-body PET with deep learning in a multicenter and externally validated study
Abstract P319: Can Deep Learning Find the Ischemic Core on CT? Transfer Learning From Pre-Trained MRI-Based Networks
Abstract P325: Validation of Deep Learning Based Critical Hypoperfusion and Ischemic Core Prediction in a Multicenter External Randomized Controlled Trial
Joint multi‐contrast variational network reconstruction (jVN) with application to rapid 2D and 3D imaging
Abstract WP79: The Value of Pre-Training for Deep Learning Acute Stroke Triaging Models
Abstract WMP19: Prediction of Subacute Infarction in Acute Ischemic Stroke Using Baseline Multi-modal MRI and Deep Learning
ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI