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IEEE Transactions on Bio-Medical Engineering|May 26, 2025
ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial InfarctionNathan T Riek, Murat Akcakaya, Zeineb Bouzid, et al.
Journal of Affective Disorders|July 14, 2025
Decoding depression: Event related potential dynamics and predictive neural signatures of depression severityBradly T Stone, Phillip C Desrochers, Masoud Nateghi, et al.
IEEE Transactions on Bio-Medical Engineering|August 11, 2025
Adversarial Debiasing for Equitable and Fair Detection of Acute Coronary Syndrome using 12-Lead ECGRui Qi Ji, Nathan T Riek, Zeineb Bouzid, et al.
Scientific Data|February 11, 2026
Seismocardiography Pig Hypovolemia Dataset for Signal Quality Indexing and Validated Cardiac TimingsMichael J Cho, Cem O Yaldiz, Afra Nawar, et al.
Physiological Measurement|March 18, 2026
Non-invasive hemodynamic monitoring during hemorrhage and blood transfusion: Opportunities and challengesParham Rezaei, Sina Masoumi Shahrbabak, John Vandenberge, et al.
Computers in Biology and Medicine|April 9, 2026
Establishing generalizability of wearable-enabled blood volume decompensation status estimation algorithms using transfer learningDemet Tangolar, Zeineb Bouzid, Cem Okan Yaldiz, et al.
Research Square|February 13, 2023
Machine Learning for the ECG Diagnosis and Risk Stratification of Occlusion Myocardial Infarction at First Medical ContactSalah Al-Zaiti, Christian Martin-Gill, Jessica Zégre-Hemsey, et al.
Physiological Measurement|August 2, 2025
Prescreening depression using wearable electrocardiogram and photoplethysmogram data from a psycholinguistic experimentSajjad Karimi, Masoud Nateghi, Gabriela I Cestero, et al.
European Heart Journal|January 13, 2025
Electrocardiogram-based machine learning for risk stratification of patients with suspected acute coronary syndromeZeineb Bouzid, Ervin Sejdic, Christian Martin-Gill, et al.
Nature Medicine|June 29, 2023
Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarctionSalah S Al-Zaiti, Christian Martin-Gill, Jessica K Zègre-Hemsey, et al.
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