Sanjiv M. Narayan

According to our database, Sanjiv M. Narayan authored at least 18 papers between 1999 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease.

J. Weston Hughes, James E. Tooley, Jessica Torres Soto, Anna Ostropolets, Tim Poterucha, Matthew Christensen, Neal Yuan, Ben Ehlert, Dhamanpreet Kaur, Guson Kang, Albert J. Rogers, Sanjiv M. Narayan, Pierre Elias, David Ouyang, Euan A. Ashley, James Zou, Marco V. Perez

npj Digit. Medicine, 2023

Defining the Predictive Ceiling of Electrogram Features Alone for Predicting Outcomes From Atrial Fibrillation Ablation.

Maxime Pedron, Prasanth Ganesan, Ruibin Feng, Brototo Deb, Hui Chang, Samuel Ruipérez-Campillo, Sulaiman Somani, Yaanik Desai, Albert J. Rogers, Paul Clopton, Sanjiv M. Narayan

Proceedings of the Computing in Cardiology, 2023

2022

Atrial fibrillation signatures on intracardiac electrograms identified by deep learning.

Miguel Rodrigo, Mahmood I. Alhusseini, Albert J. Rogers, Chayakrit Krittanawong, Sumiran Thakur, Ruibin Feng, Prasanth Ganesan, Sanjiv M. Narayan

Comput. Biol. Medicine, 2022

Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data.

Florence E. van Lieshout, Roel C. Klein, Maarten Z. Kolk, Kylian van Geijtenbeek, Romy Vos, Samuel Ruipérez-Campillo, Ruibin Feng, Brototo Deb, Prasanth Ganesan, Reinoud Knops, Ivana Isgum, Sanjiv M. Narayan, Erik J. Bekkers, Bob D. de Vos, Fleur V. Y. Tjong

Proceedings of the Computing in Cardiology, 2022

Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels.

Roel C. Klein, Florence E. van Lieshout, Maarten Z. Kolk, Kylian van Geijtenbeek, Romy Vos, Samuel Ruipérez-Campillo, Ruibin Feng, Brototo Deb, Prasanth Ganesan, Reinoud Knops, Ivana Isgum, Sanjiv M. Narayan, Erik J. Bekkers, Bob D. de Vos, Fleur V. Y. Tjong

Proceedings of the Computing in Cardiology, 2022

2021

Intra-cardiac Signatures of Atrial Arrhythmias Identified by Machine Learning and Traditional Features.

Miguel Rodrigo, Benjamin Pagano, Sumiran Takur, Alejandro Liberos, Rafael Sebastián, Sanjiv M. Narayan

Proceedings of the Functional Imaging and Modeling of the Heart, 2021

Deep Neural Network Trained on Surface ECG Improves Diagnostic Accuracy of Prior Myocardial Infarction Over Q Wave Analysis.

Özal Yildirim, Ulas Baran Baloglu, Muhammed Talo, Prasanth Ganesan, Jagteshwar S. Tung, Guson Kang, James E. Tooley, Mahmood I. Alhusseini, Tina Baykaner, Paul J. Wang, Marco V. Perez, Larisa Tereshchenko, Sanjiv M. Narayan, Albert J. Rogers

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Automatic quality electrogram assessment improves phase-based reentrant activity identification in atrial fibrillation.

Alejandro Costoya-Sánchez, Andreu M. Climent, Ismael Hernández-Romero, Alejandro Liberos, Francisco Fernández-Avilés, Sanjiv M. Narayan, Felipe Atienza, María S. Guillem, Miguel Rodrigo

Comput. Biol. Medicine, 2020

2019

Automatic Quality Electrogram Assessment Improves Reentrant Activity Identification in Atrial Fibrillation.

Alejandro Costoya-Sánchez, Andreu M. Climent, Ismael Hernández-Romero, Alejandro Liberos, Francisco Fernández-Avilés, Sanjiv M. Narayan, Felipe Atienza, María S. Guillem, Miguel Rodrigo

Proceedings of the 46th Computing in Cardiology, 2019

Temporal Stability of Dominant Frequency as Predictor of Atrial Fibrillation Recurrence.

Alejandro Costoya-Sánchez, Andreu M. Climent, Ismael Hernández-Romero, Alejandro Liberos, Francisco Fernández-Avilés, Sanjiv M. Narayan, Felipe Atienza, María S. Guillem, Miguel Rodrigo

Proceedings of the 46th Computing in Cardiology, 2019

2016

Comparison of Detailed and Simplified Models of Human Atrial Myocytes to Recapitulate Patient Specific Properties.

Daniel M. Lombardo, Flavio H. Fenton, Sanjiv M. Narayan, Wouter-Jan Rappel

PLoS Comput. Biol., 2016

2013

A three-dimensional finite element model of human atrial anatomy: New methods for cubic Hermite meshes with extraordinary vertices.

Matthew J. Gonzales, Gregory M. Sturgeon, Adarsh Krishnamurthy, Johan Hake, René Jonas, Paul Stark, Wouter-Jan Rappel, Sanjiv M. Narayan, Yongjie Zhang, William Paul Segars, Andrew D. McCulloch

Medical Image Anal., 2013

Patient-specific models of cardiac biomechanics.

Adarsh Krishnamurthy, Christopher T. Villongco, Joyce Chuang, Lawrence R. Frank, Vishal Nigam, Ernest Belezzuoli, Paul Stark, David E. Krummen, Sanjiv M. Narayan, Jeffrey H. Omens, Andrew D. McCulloch, Roy Kerckhoffs

J. Comput. Phys., 2013

Adaptive frequency tracking of the baseline ECG identifies the site of atrial fibrillation termination by catheter ablation.

Andréa Buttu, Etienne Pruvot, Jérôme Van Zaen, Alain Viso, Andrei Forclaz, Patrizio Pascale, Sanjiv M. Narayan, Jean-Marc Vesin

Biomed. Signal Process. Control., 2013

2012

An atlas-based geometry pipeline for cardiac Hermite model construction and diffusion tensor reorientation.

Yongjie Zhang, Xinghua Liang, Jun Ma, Yiming Jing, Matthew J. Gonzales, Christopher T. Villongco, Adarsh Krishnamurthy, Lawrence R. Frank, Vishal Nigam, Paul Stark, Sanjiv M. Narayan, Andrew D. McCulloch

Medical Image Anal., 2012

2011

Pathogenesis of AF: Impact on intracardiac signals.

Ashok J. Shah, Rémi Dubois, Shinsuke Miyazaki, Amir S. Jadidi, Daniel Scherr, Stephen B. Wilton, Laurent Roten, Patrizio Pascale, Michala Pedersen, Nicolas Derval, Sebastien Knecht, Frédéric Sacher, Pierre Jaïs, Sanjiv M. Narayan, Mélèze Hocini, Michel Haïssaguerre

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2004

Temporal and spatial phase analyses of the electrocardiogram stratify intra-atrial and intra-ventricular organization.

Sanjiv M. Narayan, Valmik Bhargava

IEEE Trans. Biomed. Eng., 2004

1999

Spectral analysis of periodic fluctuations in electrocardiographic repolarization.

Sanjiv M. Narayan, Joseph M. Smith

IEEE Trans. Biomed. Eng., 1999