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Christopher Reeder

6PUBLICATIONS

21CO-AUTHORS

Context learningCardiology (incl. cardiovascular diseases)Disease surveillanceComputational physiologyNeural networks

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Publications (6)

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|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

3 joint publications

Paolo Di Achille

3 joint publications

Anthony Philippakis

3 joint publications

Christopher D Anderson

3 joint publications

Puneet Batra

3 joint publications

Pulkit Singh

3 joint publications

Emily S Lau

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

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