Reza Akbari Movahed
- PhD Student in Computing Science
Glasgow, Glasgow City, Scotland, United Kingdom, Sir Alwyn William Building, G12 8QN
https://orcid.org/0000-0002-3163-3893
Research title: Bayesian Deep Atlases for Cardiac Motion Abnormality Assessment by Integrating Imaging and Metadata
Research Summary
My research interst lies in using machine learning and deep learning techniques in biomedical and medicine applications to discover novel biological information and biomarkers for various diseases based on different biomedical data which can be used for the optimum treatment amd diagnosis selection. Currently, I am working on cardiac motion abnormality assessment based on the sequences of cardiac magnetic resonance (CMR) images using novel probabisltic deep learning models, which can be used by cardiologists and health care centers to facilitate and improve the early identification of heart motion abnormality which is strongly correlated with Cardiovascular diseases (CVDs).
