LF-NET: A Low-Frequency Self-Supervised Model for Coronary Artery Disease Detection From Phonocardiogram Signals.
- DOI
- 10.1109/jbhi.2026.3747289
- Published
- 2026 Oct 26
- Container
- IEEE journal of biomedical and health informatics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/jbhi.2026.3747289,
title = {LF-NET: A Low-Frequency Self-Supervised Model for Coronary Artery Disease Detection From Phonocardiogram Signals.},
author = {Fynn M and Marocchi M and Rashid J and Mandana K and Rong Y and Saha G},
year = {2026},
journal = {IEEE journal of biomedical and health informatics},
doi = {10.1109/jbhi.2026.3747289},
url = {https://doi.org/10.1109/jbhi.2026.3747289}
}RIS
TY - JOUR TI - LF-NET: A Low-Frequency Self-Supervised Model for Coronary Artery Disease Detection From Phonocardiogram Signals. AU - Fynn M AU - Marocchi M AU - Rashid J AU - Mandana K AU - Rong Y AU - Saha G PY - 2026 JO - IEEE journal of biomedical and health informatics DO - 10.1109/jbhi.2026.3747289 UR - https://doi.org/10.1109/jbhi.2026.3747289 ER -
APA
M, F., M, M., J, R., K, M., Y, R., & G, S. (2026). LF-NET: A Low-Frequency Self-Supervised Model for Coronary Artery Disease Detection From Phonocardiogram Signals.. IEEE journal of biomedical and health informatics. https://doi.org/10.1109/jbhi.2026.3747289
Source records
- pubmed · retrieved 2026-11-10T13:43:58.750Z