Sanjiv M Narayan

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Stanford University

United States

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Recent Grants

Grant: Close

Machine Learning in Atrial Fibrillation

Open Date: 2020-04-01

Close Date: 2025-03-31

Grant: Close

The Maintenance of Human Atrial Fibrillation

Open Date: 2010-09-01

Close Date: 2020-07-31

Grant: Close

The Dynamics of Human Atrial Fibrillation

Open Date: 2005-12-01

Close Date: 2024-06-30

Grant: Close

The Pathophysiology of T-wave Alternans

Open Date: 2001-09-17

Close Date: 2006-08-31

Grant: Close

NATIONAL BIOMEDICAL COMPUTATION RESOURCE

Open Date: 1994-04-15

Close Date: 2014-04-30

Articles (21)

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Collaborators (10)

Reinoud E. Knops

NETHERLANDS

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Enrico Caiani

Istituto Auxologico Italiano

ITALY

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Kristen K. Patton

University of Washington

UNITED STATES

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Janet K Han

University of California

UNITED STATES

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Fleur V Y Tjong

NETHERLANDS

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Junaid Zaman

Imperial College London

UNITED KINGDOM

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Emma Svennberg

Karolinska University Hospital

SWEDEN

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Lee Eckhardt

Professor of Medicine

University of Wisconsin-Madison

UNITED STATES

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Ulrich Schotten

Prof., Head of Dept.

University of Maastricht

NETHERLANDS

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Prashanthan Sanders

AUSTRALIA

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Sanjiv M Narayan

Research Interests

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Contact this professor

Recent Grants

Articles (21)

Artificial intelligence and real-time directional guidance in arrhythmia management

2025 International Expert Practical Guide on the Use of the Pentaspline Pulsed Field Ablation System in Atrial Fibrillation Ablation Procedures

Access to digital health technologies: personalized framework and global perspectives

Arrhythmia Research at a Tipping Point: The Need for Disruptive Science and Technology

Learning AI for busy clinicians: Staying ahead

Mechanistic Insights From Trials of Atrial Fibrillation Ablation: Charting a Course for the Future

Navigating the Ebb and Flow of Atrial Fibrillation

Novel Domain Knowledge-Encoding Algorithm Enables Label-Efficient Deep Learning for Cardiac CT Segmentation to Guide Atrial Fibrillation Treatment in a Pilot Dataset

Catheter Ablation as First-Line Therapy in Persistent Atrial Fibrillation

Quantifying a spectrum of clinical response in atrial tachyarrhythmias using spatiotemporal synchronization of electrograms

The digital journey: 25 years of digital development in electrophysiology from an Europace perspective

Reduction in long-term mortality using remote device monitoring in a large real-world population of patients with implantable defibrillators

Can Machine Learning Disrupt the Prediction of Sudden Death?

Future Directions for Mapping Atrial Fibrillation

Machine learning of adipose tissue in atrial fibrillation

Mapping Atrial Fibrillation After Surgical Therapy to Guide Endocardial Ablation

Atrial fibrillation signatures on intracardiac electrograms identified by deep learning

What Cannot Be Missed: Important Publications on Electrophysiology in 2021

Perpendicular catheter orientation during papillary muscle ablation results in larger, deeper lesions

Identifying Atrial Fibrillation Mechanisms for Personalized Medicine

Collaborators (10)

Reinoud E. Knops

Enrico Caiani

Kristen K. Patton

Janet K Han

Fleur V Y Tjong

Junaid Zaman

Emma Svennberg

Lee Eckhardt

Ulrich Schotten

Prashanthan Sanders

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