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ORCIDSanjiv M. Narayan
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2020 – today
- 2024
[i1]Rayan Ansari, John Cao, Sabyasachi Bandyopadhyay, Sanjiv M. Narayan, Albert J. Rogers, Mert Pilanci:
ConvexECG: Lightweight and Explainable Neural Networks for Personalized, Continuous Cardiac Monitoring. CoRR abs/2409.12493 (2024)- 2023
- [j10]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:
A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease. npj Digit. Medicine 6 (2023) - [c8]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:
Defining the Predictive Ceiling of Electrogram Features Alone for Predicting Outcomes From Atrial Fibrillation Ablation. CinC 2023: 1-4 - 2022
- [j9]Miguel Rodrigo, Mahmood I. Alhusseini, Albert J. Rogers, Chayakrit Krittanawong, Sumiran Thakur, Ruibin Feng, Prasanth Ganesan, Sanjiv M. Narayan:
Atrial fibrillation signatures on intracardiac electrograms identified by deep learning. Comput. Biol. Medicine 145: 105451 (2022) - [c7]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:
Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels. CinC 2022: 1-4 - [c6]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:
Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data. CinC 2022: 1-4 - 2021
- [c5]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:
Deep Neural Network Trained on Surface ECG Improves Diagnostic Accuracy of Prior Myocardial Infarction Over Q Wave Analysis. CinC 2021: 1-4 - [c4]Miguel Rodrigo, Benjamin Pagano, Sumiran Takur, Alejandro Liberos, Rafael Sebastián, Sanjiv M. Narayan:
Intra-cardiac Signatures of Atrial Arrhythmias Identified by Machine Learning and Traditional Features. FIMH 2021: 671-678 - 2020
- [j8]Alejandro Costoya-Sánchez, Andreu M. Climent, Ismael Hernández-Romero, Alejandro Liberos, Francisco Fernández-Avilés, Sanjiv M. Narayan, Felipe Atienza, María S. Guillem, Miguel Rodrigo:
Automatic quality electrogram assessment improves phase-based reentrant activity identification in atrial fibrillation. Comput. Biol. Medicine 117: 103593 (2020)
2010 – 2019
- 2019
- [c3]Alejandro Costoya-Sánchez, Andreu M. Climent, Ismael Hernández-Romero, Alejandro Liberos, Francisco Fernández-Avilés, Sanjiv M. Narayan, Felipe Atienza, María S. Guillem, Miguel Rodrigo:
Temporal Stability of Dominant Frequency as Predictor of Atrial Fibrillation Recurrence. CinC 2019: 1-4 - [c2]Alejandro Costoya-Sánchez, Andreu M. Climent, Ismael Hernández-Romero, Alejandro Liberos, Francisco Fernández-Avilés, Sanjiv M. Narayan, Felipe Atienza, María S. Guillem, Miguel Rodrigo:
Automatic Quality Electrogram Assessment Improves Reentrant Activity Identification in Atrial Fibrillation. CinC 2019: 1-4 - 2016
- [j7]Daniel M. Lombardo, Flavio H. Fenton, Sanjiv M. Narayan, Wouter-Jan Rappel:
Comparison of Detailed and Simplified Models of Human Atrial Myocytes to Recapitulate Patient Specific Properties. PLoS Comput. Biol. 12(8) (2016) - 2013
- [j6]Andréa Buttu, Etienne Pruvot, Jérôme Van Zaen, Alain Viso, Andrei Forclaz, Patrizio Pascale, Sanjiv M. Narayan, Jean-Marc Vesin:
Adaptive frequency tracking of the baseline ECG identifies the site of atrial fibrillation termination by catheter ablation. Biomed. Signal Process. Control. 8(6): 969-980 (2013) - [j5]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:
Patient-specific models of cardiac biomechanics. J. Comput. Phys. 244: 4-21 (2013) - [j4]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:
A three-dimensional finite element model of human atrial anatomy: New methods for cubic Hermite meshes with extraordinary vertices. Medical Image Anal. 17(5): 525-537 (2013) - 2012
- [j3]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:
An atlas-based geometry pipeline for cardiac Hermite model construction and diffusion tensor reorientation. Medical Image Anal. 16(6): 1130-1141 (2012) - 2011
- [c1]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:
Pathogenesis of AF: Impact on intracardiac signals. EMBC 2011: 5523-5526
2000 – 2009
- 2004
- [j2]Sanjiv M. Narayan, Valmik Bhargava:
Temporal and spatial phase analyses of the electrocardiogram stratify intra-atrial and intra-ventricular organization. IEEE Trans. Biomed. Eng. 51(10): 1749-1764 (2004)
1990 – 1999
- 1999
- [j1]Sanjiv M. Narayan, Joseph M. Smith:
Spectral analysis of periodic fluctuations in electrocardiographic repolarization. IEEE Trans. Biomed. Eng. 46(2): 203-212 (1999)
Coauthor Index
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