Addressing contemporary threats in anonymised healthcare data using privacy engineering by Sanjiv M. Narayan, Nitin Kohli, Megan M. Martin

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Future Directions for Mapping Atrial Fibrillation by Junaid AB Zaman, Andrew A Grace, Sanjiv M Narayan

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Comparison of Detailed and Simplified Models of Human Atrial Myocytes to Recapitulate Patient Specific Properties. by Daniel M Lombardo, Flavio H Fenton, Sanjiv M Narayan, Wouter-Jan Rappel

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MACHINE LEARNING FOR THE IDENTIFICATION AND CLASSIFICATION OF CLINICAL PHENOTYPES IN PATIENTS WITH AN IMPLANTABLE CARDIOVERTER-DEFIBRILLATOR: TOWARDS PERSONALISED ICD PATIENT CARE by Maarten Kolk, Sanjiv M. Narayan, Paul Clopton, Reinoud Knops, Fleur V. Tjong

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Predicting acute termination and non-termination during ablation of human atrial fibrillation using quantitative indices by Cole Kappel, Michael Reiss, Miguel Rodrigo, Prasanth Ganesan, Sanjiv M. Narayan, Wouter-Jan Rappel

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ARTIFICIAL INTELLIGENCE FOR THE PREDICTION OF VENTRICULAR ARRHYTHMIAS AND SUDDEN CARDIAC DEATH USING ELECTROPHYSIOLOGICAL SIGNALS: A SYSTEMATIC REVIEW AND META-ANALYSIS by Maarten Kolk, Brototo Deb, Samuel Ruiperez-Campillo, Paul Clopton, Sanjiv M. Narayan, Reinoud Knops, Fleur V. Tjong

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What Cannot Be Missed: Important Publications on Electrophysiology in 2021 by Sanjiv M Narayan, Hugh Calkins, Andrew Grace, Gregory YH Lip, Ken Ellenbogen, Pier D Lambiase, Demosthenes G Katritsis

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What Cannot Be Missed: Important Publications on Electrophysiology in 2020 by Sanjiv M Narayan, Hugh Calkins, Andrew Grace, Ken Ellenbogen, Gregory YH Lip, Pier D Lambiase, Demosthenes G Katritsis

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What Cannot Be Missed: Important Publications on Electrophysiology in 2019 by Andrew Grace, Hugh Calkins, Ken Ellenbogen, Pier D Lambiase, Gregory YH Lip, Sanjiv M Narayan, Demosthenes G Katritsis

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Three dimensional reconstruction to visualize atrial fibrillation activation patterns on curved atrial geometry. by Ricardo Abad, Orvil Collart, Prasanth Ganesan, A J Rogers, Mahmood I Alhusseini, Miguel Rodrigo, Sanjiv M Narayan, Wouter-Jan Rappel

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What Cannot be Missed: Important Publications on Electrophysiology in 2023 by Andrew Grace, Gregory YH Lip, Pier D Lambiase, Sanjiv M Narayan, Hugh Calkins, Yutao Guo, Ken Ellenbogen, Demosthenes G Katritsis

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Angiotensin-Converting Enzyme Inhibition as a Potential Risk Factor for Periprosthetic Joint Infection Following Total Knee Arthroplasty by Rishi Trikha, MD, Nicolas Cevallos, BS, Alan L. Zhang, MD, Sanjiv M. Narayan, MD, PhD, Christos Photopoulos, MD, Alexandra Stavrakis, MD, Nicholas M. Bernthal, MD

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Multimodal explainable artificial intelligence identifies patients with non-ischaemic cardiomyopathy at risk of lethal ventricular arrhythmias by Maarten Z. H. Kolk, Samuel Ruipérez-Campillo, Cornelis P. Allaart, Arthur A. M. Wilde, Reinoud E. Knops, Sanjiv M. Narayan, Fleur V. Y. Tjong, DEEP RISK investigators

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Machine learning of electrophysiological signals for the prediction of ventricular arrhythmias: systematic review and examination of heterogeneity between studiesResearch in contex... by Maarten Z.H. Kolk, Brototo Deb, Samuel Ruipérez-Campillo, Neil K. Bhatia, Paul Clopton, Arthur A.M. Wilde, Sanjiv M. Narayan, Reinoud E. Knops, Fleur V.Y. Tjong

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Novel Domain Knowledge-Encoding Algorithm Enables Label-Efficient Deep Learning for Cardiac CT Segmentation to Guide Atrial Fibrillation Treatment in a Pilot Dataset by Prasanth Ganesan, Ruibin Feng, Brototo Deb, Fleur V. Y. Tjong, Albert J. Rogers, Samuel Ruipérez-Campillo, Sulaiman Somani, Paul Clopton, Tina Baykaner, Miguel Rodrigo, James Zou, Francois Haddad, Matei Zaharia, Sanjiv M. Narayan

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Dynamic prediction of malignant ventricular arrhythmias using neural networks in patients with an implantable cardioverter-defibrillatorResearch in context by Maarten Z.H. Kolk, Samuel Ruipérez-Campillo, Laura Alvarez-Florez, Brototo Deb, Erik J. Bekkers, Cornelis P. Allaart, Anne-Lotte C.J. Van Der Lingen, Paul Clopton, Ivana Išgum, Arthur A.M. Wilde, Reinoud E. Knops, Sanjiv M. Narayan, Fleur V.Y. Tjong

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Segmenting computed tomograms for cardiac ablation using machine learning leveraged by domain knowledge encoding by Ruibin Feng, Brototo Deb, Prasanth Ganesan, Fleur V. Y. Tjong, Fleur V. Y. Tjong, Albert J. Rogers, Samuel Ruipérez-Campillo, Samuel Ruipérez-Campillo, Sulaiman Somani, Paul Clopton, Tina Baykaner, Miguel Rodrigo, Miguel Rodrigo, James Zou, Francois Haddad, Matei Zahari, Sanjiv M. Narayan

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Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram by Albert J. Rogers, Neal K. Bhatia, Sabyasachi Bandyopadhyay, James 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

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