Sanjiv M. Narayan

27 papers Misc 1Journal 16Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Reducing diverse sources of noise in ventricular electrical signals using variational autoencoders.
Expert Syst. Appl.
Samuel Ruipérez-Campillo, Alain Ryser, Thomas M. Sutter, Brototo Deb, Ruibin Feng, Prasanth Ganesan, Kelly A. Brennan, Albert J. Rogers, Maarten Z. Kolk, Fleur V. Y. Tjong, Sanjiv M. Narayan, Julia E. Vogt
2025 J jnl
A Denoising VAE for Intracardiac Time Series in Ischemic Cardiomyopathy.
CoRR
Samuel Ruipérez-Campillo, Alain Ryser, Thomas M. Sutter, Ruibin Feng, Prasanth Ganesan, Brototo Deb, Kelly A. Brennan, Maxime Pedron, Albert J. Rogers, Maarten Z. Kolk, Fleur V. Y. Tjong, Sanjiv M. Narayan, Julia E. Vogt
2025 J jnl
Addressing contemporary threats in anonymised healthcare data using privacy engineering.
npj Digit. Medicine
Sanjiv M. Narayan, Nitin Kohli, Megan M. Martin
2025 Misc conf
ConvexECG: Lightweight and Explainable Neural Networks for Personalized, Continuous Cardiac Monitoring.
ICASSP
Rayan Ansari, John Cao, Sabyasachi Bandyopadhyay, Sanjiv M. Narayan, Albert J. Rogers, Mert Pilanci
2025 — conf
Electrophysiologically-Characterized Digital Twins from Intracavitary Recordings During Atrial Fibrillation.
FIMH (1)
María Termenón-Rivas, Giada S. Romitti, Sanjiv M. Narayan, Alejandro Liberos, Miguel Rodrigo
2025 J jnl
Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram.
npj Digit. Medicine
Albert J. Rogers, Neal K. Bhatia, Sabyasachi Bandyopadhyay, James E. Tooley, Rayan Ansari, Vyom Thakkar, Justin Xu, Jessica Torres Soto, Jagteshwar S. Tung, Mahmood I. Alhusseini, Paul Clopton, Reza Sameni, Gari D. Clifford, J. Weston Hughes, Euan A. Ashley, Marco V. Perez, Matei Zaharia, Sanjiv M. Narayan
2024 — conf
Can Generative AI Learn Physiological Waveform Morphologies? A Study on Denoising Intracardiac Signals in Ischemic Cardiomyopathy.
EMBC
Samuel Ruipérez-Campillo, Alain Ryser, Thomas M. Sutter, Ruibin Feng, Prasanth Ganesan, Brototo Deb, Kelly A. Brennan, Maarten Z. Kolk, Fleur V. Y. Tjong, Albert J. Rogers, Sanjiv M. Narayan, Julia E. Vogt
2024 J jnl
ConvexECG: Lightweight and Explainable Neural Networks for Personalized, Continuous Cardiac Monitoring.
CoRR
Rayan Ansari, John Cao, Sabyasachi Bandyopadhyay, Sanjiv M. Narayan, Albert J. Rogers, Mert Pilanci
2024 J jnl
Successful cardiac resynchronization therapy reduces negative septal work in patient-specific models of dyssynchronous heart failure.
PLoS Comput. Biol.
Amanda Craine, Adarsh Krishnamurthy, Christopher T. Villongco, Kevin Vincent, David E. Krummen, Sanjiv M. Narayan, Roy C. P. Kerckhoffs, Jeffrey H. Omens, Francisco Contijoch, Andrew D. McCulloch
2023 J jnl
A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease.
npj Digit. Medicine
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 A. Elias, David Ouyang, Euan A. Ashley, James Zou, Marco V. Perez
2023 — conf
Defining the Predictive Ceiling of Electrogram Features Alone for Predicting Outcomes From Atrial Fibrillation Ablation.
CinC
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
2022 J jnl
Atrial fibrillation signatures on intracardiac electrograms identified by deep learning.
Comput. Biol. Medicine
Miguel Rodrigo, Mahmood I. Alhusseini, Albert J. Rogers, Chayakrit Krittanawong, Sumiran Thakur, Ruibin Feng, Prasanth Ganesan, Sanjiv M. Narayan
2022 — conf
Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data.
CinC
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
2022 — conf
Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels.
CinC
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
2021 — conf
Deep Neural Network Trained on Surface ECG Improves Diagnostic Accuracy of Prior Myocardial Infarction Over Q Wave Analysis.
CinC
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
2021 — conf
Intra-cardiac Signatures of Atrial Arrhythmias Identified by Machine Learning and Traditional Features.
FIMH
Miguel Rodrigo, Benjamin Pagano, Sumiran Takur, Alejandro Liberos, Rafael Sebastián, Sanjiv M. Narayan
2020 J jnl
Automatic quality electrogram assessment improves phase-based reentrant activity identification in atrial fibrillation.
Comput. Biol. Medicine
Alejandro Costoya-Sánchez, Andreu M. Climent, Ismael Hernández-Romero, Alejandro Liberos, Francisco Fernández-Avilés, Sanjiv M. Narayan, Felipe Atienza, María S. Guillem, Miguel Rodrigo
2019 — conf
Automatic Quality Electrogram Assessment Improves Reentrant Activity Identification in Atrial Fibrillation.
CinC
Alejandro Costoya-Sánchez, Andreu M. Climent, Ismael Hernández-Romero, Alejandro Liberos, Francisco Fernández-Avilés, Sanjiv M. Narayan, Felipe Atienza, María S. Guillem, Miguel Rodrigo
2019 — conf
Temporal Stability of Dominant Frequency as Predictor of Atrial Fibrillation Recurrence.
CinC
Alejandro Costoya-Sánchez, Andreu M. Climent, Ismael Hernández-Romero, Alejandro Liberos, Francisco Fernández-Avilés, Sanjiv M. Narayan, Felipe Atienza, María S. Guillem, Miguel Rodrigo
2016 J jnl
Comparison of Detailed and Simplified Models of Human Atrial Myocytes to Recapitulate Patient Specific Properties.
PLoS Comput. Biol.
Daniel M. Lombardo, Flavio H. Fenton, Sanjiv M. Narayan, Wouter-Jan Rappel
2013 J jnl
A three-dimensional finite element model of human atrial anatomy: New methods for cubic Hermite meshes with extraordinary vertices.
Medical Image Anal.
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
2013 J jnl
Adaptive frequency tracking of the baseline ECG identifies the site of atrial fibrillation termination by catheter ablation.
Biomed. Signal Process. Control.
Andréa Buttu, Etienne Pruvot, Jérôme Van Zaen, Alain Viso, Andrei Forclaz, Patrizio Pascale, Sanjiv M. Narayan, Jean-Marc Vesin
2013 J jnl
Patient-specific models of cardiac biomechanics.
J. Comput. Phys.
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
2012 J jnl
An atlas-based geometry pipeline for cardiac Hermite model construction and diffusion tensor reorientation.
Medical Image Anal.
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
2011 — conf
Pathogenesis of AF: Impact on intracardiac signals.
EMBC
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
2004 J jnl
Temporal and spatial phase analyses of the electrocardiogram stratify intra-atrial and intra-ventricular organization.
IEEE Trans. Biomed. Eng.
Sanjiv M. Narayan, Valmik Bhargava
1999 J jnl
Spectral analysis of periodic fluctuations in electrocardiographic repolarization.
IEEE Trans. Biomed. Eng.
Sanjiv M. Narayan, Joseph M. Smith