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Deep-Learning to predict outcome of CRT based on pulsed-wave Doppler, clinical biomarkers and pacemaker settings

Year: 2025

Type: conference-paper

Source: IEEE International Ultrasonics Symposium

DOI: 10.1109/ius62464.2025.11201532

Authors: Paulo Tostes, Ahmed S. Beela, Somayeh Akbari, Helena Williams, Joost Lumens, Jan D’hooge

Institutions: KU Leuven, Maastricht University

Language: English

Topic: Cardiac pacing and defibrillation studies

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4415368142

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Cites: 17

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