Spectral analysis of periodic fluctuations in electrocardiographic repolarization. - Sanjiv M. Narayan; Joseph M. Smith (IEEE Trans. Biomed. Eng., 1999)

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)

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; et al. (EMBC, 2011)

An atlas-based geometry pipeline for cardiac Hermite model construction and diffusion tensor reorientation. - Yongjie Zhang 001; 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)

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)

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)

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 001; William Paul Segars; Andrew D. McCulloch (Medical Image Anal., 2013)

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)

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 (CinC, 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 (CinC, 2019)

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)

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; et al. (CinC, 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 (FIMH, 2021)

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; et al. (CinC, 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; et al. (CinC, 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)

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 (CinC, 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; et al. (npj Digit. Medicine, 2023)

Can Generative AI Learn Physiological Waveform Morphologies? A Study on Denoising Intracardiac Signals in Ischemic Cardiomyopathy. - 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 (EMBC, 2024)

Successful cardiac resynchronization therapy reduces negative septal work in patient-specific models of dyssynchronous heart failure. - 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 (PLoS Comput. Biol., 2024)

Electrophysiologically-Characterized Digital Twins from Intracavitary Recordings During Atrial Fibrillation. - María Termenón-Rivas; Giada S. Romitti; Sanjiv M. Narayan; Alejandro Liberos; Miguel Rodrigo (FIMH (1), 2025)

ConvexECG: Lightweight and Explainable Neural Networks for Personalized, Continuous Cardiac Monitoring. - Rayan Ansari; John Cao; Sabyasachi Bandyopadhyay; Sanjiv M. Narayan; Albert J. Rogers; Mert Pilanci (ICASSP, 2025)

Addressing contemporary threats in anonymised healthcare data using privacy engineering. - Sanjiv M. Narayan; Nitin Kohli; Megan M. Martin (npj Digit. Medicine, 2025)

Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram. - 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; et al. (npj Digit. Medicine, 2025)

A Denoising VAE for Intracardiac Time Series in Ischemic Cardiomyopathy. - 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; et al. (CoRR, 2025)