"Feasibility of a longitudinal statistical atlas model to study aortic ..."

Froso Sophocleous et al. (2022)

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DOI: 10.1016/J.COMPBIOMED.2022.105326

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type: Journal Article

metadata version: 2022-10-02

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Froso Sophocleous, Alexandre Bône, Andrew I. U. Shearn, Mari Nieves Velasco Forte, Jan L. Bruse, Massimo Caputo, Giovanni Biglino:
Feasibility of a longitudinal statistical atlas model to study aortic growth in congenital heart disease. Comput. Biol. Medicine 144: 105326 (2022)

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