Christopher Reeder

6PUBLICATIONS
21CO-AUTHORS
Context learningCardiology (incl. cardiovascular diseases)Disease surveillanceComputational physiologyNeural networks
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Publications (6)

|Mar 20, 2026
Predicting Recurrence and Outcomes After Stressor-Associated Atrial Fibrillation Using ECG-Based Deep Learning.

Julian S Haimovich, Samuel Friedman, Christopher Reeder

|Feb 22, 2025
A deep learning digital biomarker to detect hypertension and stratify cardiovascular risk from the electrocardiogram.

Mostafa A Al-Alusi, Samuel F Friedman, Shinwan Kany

|Jan 11, 2025
Unsupervised deep learning of electrocardiograms enables scalable human disease profiling.

Sam F Friedman, Shaan Khurshid, Rachael A Venn

|Jun 06, 2023
Genetic Susceptibility to Atrial Fibrillation Identified via Deep Learning of 12-Lead Electrocardiograms.

Xin Wang, Shaan Khurshid, Seung Hoan Choi

|Aug 12, 2022
One Clinician Is All You Need-Cardiac Magnetic Resonance Imaging Measurement Extraction: Deep Learning Algorithm Development.

Pulkit Singh, Julian Haimovich, Christopher Reeder

|Nov 08, 2021
ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation.

Shaan Khurshid, Samuel Friedman, Christopher Reeder

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Frequent Collaborators

5 joint publications

Shaan Khurshid

5 joint publications

Patrick T Ellinor

5 joint publications

Jennifer E Ho

5 joint publications

Steven A Lubitz