Research program title
Ultrasound imaging and machine learning in diagnosis and surgical guidance
Hassan Rivaz and Paul Martineau
A clear trend in the past decade has been the significant rise in the use of computers and machine learning techniques in medicine. Extensive use of medical image computing has helped clinicians transcend many limitations of conventional medicine. The general focus of this research program lies in the same paradigm: to develop novel medical image computing and machine learning techniques for diagnosis of shoulder and knee pathologies, two common musculoskeletal conditions. New ultrasound imaging techniques that are based on computationally efficient optimization techniques will be developed in this research program. In addition, new machine learning techniques that are robust to outliers and several sources of error in real clinical data will be developed.
Academic qualifications required
PhD in Electrical and Computer Engineering, Computer Science or Biomedical Engineering. Excellent publication record.