0FECCD5E-8486-4DB7-8F98-7198A5E13FCEUsing Machine Learning to Identify Noninvasive Motion-Based Biomarkers of Cardiac FunctionResearch GrantEP/K030523/1798CB33D-C79E-4578-83F2-72606407192CEPSRCINCOME_ACTUAL312999F32E1CCD-5330-4094-A2FF-E01448D01B2FFunctional Imaging and Modeling of the Heart - 8th International Conference, FIMH 2015, Maastricht, The Netherlands, June 25-27, 2015. Proceedings6cb4c19bdccff3e26a79c5c650c10685Bai W2015-01-01http://dx.doi.org/10.1007/978-3-319-20309-6_1978-3-319-20308-92190-5738http://dx.doi.org/10.1007/978-3-319-20309-6_1Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects3-11Book Chapter585d66cad2c1f1.17418991