Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death von Rogers, Albert J., Selvalingam, Anojan, Alhusseini, Mahmood I., Krummen, David E., Corrado, Cesare, Abuzaid, Firas, Baykaner, Tina, Meyer, Christian, Clopton, Paul, Giles, Wayne, Bailis, Peter, Niederer, Steven, Wang, Paul J., Rappel, Wouter-Jan, Zaharia, Matei, Narayan, Sanjiv M.

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

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Online webinar training to analyse complex atrial fibrillation maps: A randomized trial von Mesquita, João, Maniar, Natasha, Baykaner, Tina, Rogers, Albert J, Swerdlow, Mark, Alhusseini, Mahmood I, Shenasa, Fatemah, Brizido, Catarina, Matos, Daniel, Freitas, Pedro, Santos, Ana Rita, Rodrigues, Gustavo, Silva, Claudia, Rodrigo, Miguel, Dong, Yan, Clopton, Paul, Ferreira, António M, Narayan, Sanjiv M

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Characterizing Electrogram Signal Fidelity and the Effects of Signal Contamination on Mapping Human Persistent Atrial Fibrillation von Vidmar, David, Alhusseini, Mahmood I, Narayan, Sanjiv M, Rappel, Wouter-Jan

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Machine Learning–Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes von Tang, Siyi, Razeghi, Orod, Kapoor, Ridhima, Alhusseini, Mahmood I., Fazal, Muhammad, Rogers, Albert J., Rodrigo Bort, Miguel, Clopton, Paul, Wang, Paul J., Rubin, Daniel L., Narayan, Sanjiv M., Baykaner, Tina

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Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial Fibrillation von Alhusseini, Mahmood I., Abuzaid, Firas, Rogers, Albert J., Zaman, Junaid A.B., Baykaner, Tina, Clopton, Paul, Bailis, Peter, Zaharia, Matei, Wang, Paul J., Rappel, Wouter-Jan, Narayan, Sanjiv M.

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Atrial fibrillation signatures on intracardiac electrograms identified by deep learning von Rodrigo, Miguel, Alhusseini, Mahmood I., Rogers, Albert J., Krittanawong, Chayakrit, Thakur, Sumiran, Feng, Ruibin, Ganesan, Prasanth, Narayan, Sanjiv M.

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Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomography von Razeghi, Orod, Kapoor, Ridhima, Alhusseini, Mahmood I, Fazal, Muhammad, Tang, Siyi, Roney, Caroline H, Rogers, Albert J, Lee, Anson, Wang, Paul J, Clopton, Paul, Rubin, Daniel L, Narayan, Sanjiv M, Niederer, Steven, Baykaner, Tina

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Identification and Characterization of Sites Where Persistent Atrial Fibrillation Is Terminated by Localized Ablation von Zaman, Junaid A.B, Sauer, William H, Alhusseini, Mahmood I, Baykaner, Tina, Borne, Ryan T, Kowalewski, Christopher A.B, Busch, Sonia, Zei, Paul C, Park, Shirley, Viswanathan, Mohan N, Wang, Paul J, Brachmann, Johannes, Krummen, David E, Miller, John M, Rappel, Wouter Jan, Narayan, Sanjiv M, Peters, Nicholas S

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Termination of persistent atrial fibrillation by ablating sites that control large atrial areas von Bhatia, Neal K, Rogers, Albert J, Krummen, David E, Hossainy, Samir, Sauer, William, Miller, John M, Alhusseini, Mahmood I, Peszek, Adam, Armenia, Erin, Baykaner, Tina, Brachmann, Johannes, Turakhia, Mintu P, Clopton, Paul, Wang, Paul J, Rappel, Wouter-Jan, Narayan, Sanjiv M

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Interaction of Localized Drivers and Disorganized Activation in Persistent Atrial Fibrillation: Reconciling Putative Mechanisms Using Multiple Mapping Techniques von Kowalewski, Christopher A.B, Shenasa, Fatemah, Rodrigo, Miguel, Clopton, Paul, Meckler, Gabriela, Alhusseini, Mahmood I, Swerdlow, Mark A, Joshi, Vijay, Hossainy, Samir, Zaman, Junaid A.B, Baykaner, Tina, Rogers, Albert J, Brachmann, Johannes, Miller, John M, Krummen, David E, Sauer, William H, Peters, Nicholas S, Wang, Paul J, Narayan, Sanjiv M

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Wavefront Field Mapping Reveals a Physiologic Network Between Drivers Where Ablation Terminates Atrial Fibrillation von Leef, George, Shenasa, Fatemah, Bhatia, Neal K, Rogers, Albert J, Sauer, William, Miller, John M, Swerdlow, Mark, Tamboli, Mallika, Alhusseini, Mahmood I, Armenia, Erin, Baykaner, Tina, Brachmann, Johannes, Turakhia, Mintu P, Atienza, Felipe, Rappel, Wouter-Jan, Wang, Paul J, Narayan, Sanjiv M

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Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation von Alhusseini, Mahmood I., Abuzaid, Firas, Rogers, Albert J., Zaman, Junaid A. B., Baykaner, Tina, Clopton, Paul, Bailis, Peter, Zaharia, Matei, Wang, Paul J., Rappel, Wouter-Jan, Narayan, Sanjiv M.

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PO-685-04 DIFFERING DISTRIBUTION OF PREMATURE ATRIAL COMPLEXES THAT DO AND DO NOT PRECIPITATE SPONTANEOUS ATRIAL FIBRILLATION BY NON-INVASIVE IMAGING von Rodrigo, Miguel, Rogers, Albert Joseph, Ganesan, Prasanth, Deb, Brototo, Alhusseini, Mahmood I., Narayan, Sanjiv M.

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B-PO04-062 COMPARING THE ACCURACY OF FEATURES TO IDENTIFY ATRIAL FIBRILLATION ON INTRACARDIAC ELECTROGRAMS von Rodrigo, Miguel, Rogers, Albert Joseph, Ganesan, Prash, Krittanawong, Chayakrit, Alhusseini, Mahmood I., Narayan, Sanjiv M.

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B-PO02-044 ELECTROGRAM FINGERPRINTS OF ATRIAL FIBRILLATION von Rodrigo, Miguel, Rogers, Albert Joseph, Ganesan, Prash, Alhusseini, Mahmood I., Krittanawong, Chayakrit, Narayan, Sanjiv M.

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B-PO05-140 DEEP LEARNING IDENTIFIES ELECTROGRAM SIGNATURES FOR ATRIAL FIBRILLATION von Rodrigo, Miguel, Joseph Rogers, Albert, Alhusseini, Mahmood I., Krittanawong, Chayakrit, Ganesan, Prash, Narayan, Sanjiv M.

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B-AB16-04 DEEP LEARNING IMPROVES ON CLASSICAL FEATURES FOR IDENTIFYING ATRIAL TACHYARRHYTHMIAS FROM INTRACARDIAC ELECTROGRAMS von Rodrigo, Miguel, Joseph Rogers, Albert, Ganesan, Prash, Krittanawong, Chayakrit, Baykaner, Tina, Alhusseini, Mahmood I., Narayan, Sanjiv M.

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DH-575-01 MACHINE LEARNING-ENABLED MULTIMODAL FUSION OF INTRA-ATRIAL AND BODY SURFACE SIGNALS IN PREDICTION OF ATRIAL FIBRILLATION ABLATION OUTCOMES von Tang, Siyi, Razeghi, Orod, Kapoor, Ridhima, Alhusseini, Mahmood I., Fazal, Muhammad, Rogers, Albert Joseph, Rodrigo, Miguel, Wang, Paul J., Rubin, Daniel, Narayan, Sanjiv M., Baykaner, Tina

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PO-683-08 MACHINED-LEARNED PHYSIOLOGICAL SIGNATURES OF SUDDEN CARDIAC DEATH von Deb, Brototo, Selvalingam, Anojan, Alhusseini, Mahmood I., Rogers, Albert Joseph, Ganesan, Prasanth, Feng, Ruibin, Ruiperez-Campillo, Samuel, Bhatia, Neal Kumar, Baykaner, Tina, Narayan, Sanjiv M.

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