Nathan T Riek

5PUBLICATIONS
25CO-AUTHORS
Adversarial machine learningEpidemiological modellingRespiratory diseasesChild and adolescent developmentCardiology (incl. cardiovascular diseases)
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Publications (5)

|May 22, 2026
Novel machine learning fusion architectures integrating electrocardiogram representations: applications to acute coronary event detection.

|Sep 23, 2025
Artificial intelligence-driven electrocardiogram analysis for risk stratification in pulmonary embolism.

Tanmay A Gokhale, Nathan T Riek, Brent Medoff

|Jan 13, 2025
Electrocardiogram-based machine learning for risk stratification of patients with suspected acute coronary syndrome.

Zeineb Bouzid, Ervin Sejdic, Christian Martin-Gill

|Jul 01, 2023
Feedback Related Negativity Amplitude is Greatest Following Deceptive Feedback in Autistic Adolescents.

Nathan T Riek, Busra T Susam, Caitlin M Hudac

|Jun 29, 2023
Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction.

Salah S Al-Zaiti, Christian Martin-Gill, Jessica K Zègre-Hemsey

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Frequent Collaborators

4 joint publications

Murat Akcakaya

3 joint publications

Salah S Al-Zaiti

3 joint publications

Christian Martin-Gill

3 joint publications

Jessica K Zègre-Hemsey