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A novel unsupervised machine learning clustering strategy to identify PET/MR biomarkers in arrhythmogenic cardiomyopathy

Year: 2025

Type: conference-paper

Source: Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

DOI: 10.58530/2025/1887

Authors: Brunnhilde Ponsi, Hatem Necib, Lara Marteau, Aurélien Monnet, Thomas Carlier, Thomas Eugène, Jean-Michel Serfaty, Nicolas Piriou

Language: English

Topic: Cardiovascular Effects of Exercise

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4414234869

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