Multiview machine learning using an atlas of cardiac cycle motion

Autor: Puyol-Antón, Esther, Sinclair, Matthew, Gerber, Bernhard, Amzulescu, Mihaela Silvia, Langet, Hélène, De Craene, Mathieu, Aljabar, Paul, Schnabel, Julia A., Piro, Paolo, King, Andrew P.

Publikováno v: Puyol-Antón, E, Sinclair, M, Gerber, B, Amzulescu, M S, Langet, H, De Craene, M, Aljabar, P, Schnabel, J A, Piro, P & King, A P 2018, ' Multiview machine learning using an atlas of cardiac cycle motion ', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10663 LNCS, pp. 3-11 . https://doi.org/10.1007/978-3-319-75541-0_1

A cardiac motion atlas provides a space of reference in which the cardiac motion fields of a cohort of subjects can be directly compared. From such atlases, descriptors can be learned for subsequent diagnosis and characterization of disease. Traditio

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https://kclpure.kcl.ac.uk/ws/files/97906100/Learning_associations_between_clinical_Firstonline15March2018_GREEN_AAM.pdf