Shane Edward Loeffler - Joint Sch Nanosci & Nanoengn, Univ N Carolina

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Bio

Currently I am modeling Ischemia using reaction-diffusion equations to predict ischemic events using artificial intelligence in conjunction with a simplified device.

Research Interests

Papers共 20 篇Author StatisticsCo-AuthorSimilar Experts

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PO-04-144 ABLATION LESIONS THEMSELVES CAN LEAD TO ATRIAL FIBRILLATION (AF) RECURRENCE: A STUDY EMPLOYING PERSONALIZED DIGITAL TWINS (DTS) DERIVED FROM LATE GADOLINIUM ENHANCEMENT (LGE) MRIS

Carolyna Yamamoto Alves Pinto,Kensuke Sakata,Syed Yusuf Ali,Shane E. Loeffler,Adityo Prakosa,Eugene G. Kholmovski,Natalia A. Trayanova

Heart Rhythmno. 5 (2024): S443

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Revealing the atrial substrate: A deep learning approach to predict the atrial substrate using 12-lead ECG analysis

Ishan Vatsaraj,Yazan Mohsen,Shane Loeffler,Marc Horlitz,Florian Stoeckigt,Natalia A. Trayanova

Journal of Electrocardiology (2024): 13

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PO-02-151 THE LESION OF PULMONARY VEIN ISOLATION PLAYS AN IMPORTANT ROLE IN ELIMINATING ROTOR SUBSTRATES: A STUDY USING PERSONALIZED LGE-MRI-BASED DIGITAL TWINS

Kensuke Sakata,Carolyna Yamamoto Alves Pinto,Syed Yusuf Ali,Shane E. Loeffler,Brock M. Tice,Ryan Bradley,Adityo Prakosa,Eugene G. Kholmovski,Natalia A. Trayanova

Heart Rhythmno. 5 (2024): S250

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Assessing the Arrhythmogenic Propensity of Fibrotic Substrate Using Digital Twins to Inform a Mechanisms-Based Atrial Fibrillation Ablation Strategy

Kensuke Sakata,Ryan P. Bradley,Adityo Prakosa,Carolyna A. P. Yamamoto,Syed Yusuf Ali,Shane Loeffler,Brock M. Tice,Patrick M. Boyle,Eugene G. Kholmovski,Ritu Yadav,Sunil Kumar Sinha,Joseph E. Marine,Hugh Calkins,David D. Spragg,Natalia A. Trayanova

NATURE CARDIOVASCULAR RESEARCHno. 7 (2024)

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Optimizing the Distribution of Ablation Lesions to Prevent Postablation Atrial Tachycardia: A Personalized Digital-Twin Study

Kensuke Sakata,Ryan P. Bradley,Adityo Prakosa,Carolyna A.P. Yamamoto,Syed Yusuf Ali,Shane Loeffler,Eugene G. Kholmovski,Sunil Kumar Sinha, Joseph E. Marine,Hugh Calkins,David D. Spragg,Natalia A. Trayanova

JACC Clinical Electrophysiology (2024)

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Graph Fourier Neural Kernels (G-Funk): Learning Solutions of Nonlinear Diffusive Parametric PDEs on Multiple Domains

Shane E. Loeffler, Zan Ahmad, Syed Yusuf Ali, Carolyna Yamamoto, Dan M. Popescu, Alana Yee, Yash Lal,Natalia Trayanova,Mauro Maggioni

arxiv（2024）

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Po-05-027 determining reentrant drivers using graph neural networks based on late gadolinium enhancement magnetic resonance imaging

Shane E. Loeffler, Yash Lal, Alana Yee,Carolyna Yamamoto Alves Pinto,Syed Yusuf Ali,Kensuke Sakata,Adityo Prakosa,Eugene G. Kholmovski,Natalia A. Trayanova

Heart Rhythmno. 5 (2024): S563

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PO-02-054 EARLY DETECTION OF ATRIAL FUNCTIONAL MITRAL REGURGITATION IN ATRIAL FIBRILLATION PATIENTS USING ECG AND DEEP LEARNING

Yazan Mohsen,Ishan Vatsaraj,Shane E. Loeffler,Dennis Rottlaender,Marc Horlitz,Florian Stoeckigt,Natalia A. Trayanova

Heart rhythmno. 5 (2024): S280-S281

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MP-483492-009 REVEALING THE ATRIAL SUBSTRATE: A MULTIMODAL DEEP LEARNING APPROACH TO PREDICT THE ATRIAL SUBSTRATE USING 12-LEAD ECG ANALYSIS

Ishan Vatsaraj,Yazan Mohsen,Shane E. Loeffler,Marc Horlitz,Florian Stoeckigt,Natalia A. Trayanova

Heart rhythmno. 5 (2024): S64-S65

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Unipolar Voltage Electroanatomic Mapping Detects Structural Atrial Remodeling Identified by LGE-MRI

Syed Yusuf Ali, Yazan Mohsen, Yuncong Mao, Kensuke Sakata,Eugene G Kholmovski, Adityo Prakosa, Carolyna Yamamoto,Shane Loeffler, Marianna Elia, Ghazal Zandieh, Florian Stöckigt,Marc Horlitz,Sunil Kumar Sinha, Joseph Marine,Hugh Calkins,Philipp Sommer, Vanessa Sciacca,Thomas Fink,Christian Sohns,David Spragg,Natalia Trayanova

Heart rhythm (2024)

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