Papers A Clinically Interpretable Computer-Vision Based Method for Quantifying Gait in Parkinson’s Disease Published: 12 Aug 2021 Posters Assessment of Parkinson’s Disease Severity using Machine Learning Presented at the CNS Summit 2019 Real Time Quality Control for Subjective Endpoints in Clinical Trials Presented at the MDS Congress 2020 Bayesian Estimation of Gait Cadence from Monocular Video Presented at the MDS Congress 2020 Master Theses Extracting neuromotor biomarkers of Parkinson’s Disease from video data* Ms Tanmaiyii Rao Queen Mary, University of London Efficient remote assessment in Parkinson's Disease: maximizing information from simplified assessment procedures* Mr Jingxuan Tang The University of Warwick *Awarded Distinction
