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Riemannian Prediction of Anatomical Diagnoses in Congenital Heart Disease based on 12-lead ECGs

Alkan, M., Veldtman, G. and Deligianni, F. (2024) Riemannian Prediction of Anatomical Diagnoses in Congenital Heart Disease based on 12-lead ECGs. In: IEEE International Symposium on Biomedical Imaging 2024, Athens, Greece, 27-30 May 2024, (Accepted for Publication)

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Abstract

No abstract available.

Item Type:Conference Proceedings
Status:Accepted for Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Alkan, Mr Muhammet and Veldtman, Professor Gruschen and Deligianni, Dr Fani
Authors: Alkan, M., Veldtman, G., and Deligianni, F.
College/School:College of Science and Engineering > School of Computing Science

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Funder and Project Information
Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
315206Privacy-Preserved Human Motion Analysis for Healthcare ApplicationsFani DeligianniEngineering and Physical Sciences Research Council (EPSRC)EP/W01212X/1Computing Science
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