Work

Interpretable Machine Learning Model for Characterizing Hemodynamic Biomarkers in Bicuspid Aortic Valve induced Aortic Dilation

Year: 2025

Type: conference-paper

Study design: Observational Study

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: 10.58530/2025/5275

Authors: Pamela Franco, Julio Sotelo, Andrea Guala, Lydia Dux-Santoy, Juan Garrido-Oliver, Arturo Evangelista, José Rodríguez-Palomares

Language: English

Topic: Aortic Disease and Treatment Approaches

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4414235238

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