Search Results - "Alhusseini, Mahmood I."

Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death by 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.

“…Susceptibility to VT/VF (ventricular tachycardia/fibrillation) is difficult to predict in patients with ischemic cardiomyopathy either by clinical tools or by…”
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Three dimensional reconstruction to visualize atrial fibrillation activation patterns on curved atrial geometry by Abad, Ricardo, Collart, Orvil, Ganesan, Prasanth, Rogers, A J, Alhusseini, Mahmood I, Rodrigo, Miguel, Narayan, Sanjiv M, Rappel, Wouter-Jan

“…The rotational activation created by spiral waves may be a mechanism for atrial fibrillation (AF), yet it is unclear how activation patterns obtained from…”
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Online webinar training to analyse complex atrial fibrillation maps: A randomized trial by 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

“…Specific tools have been recently developed to map atrial fibrillation (AF) and help guide ablation. However, when used in clinical practice, panoramic AF maps…”
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Characterizing Electrogram Signal Fidelity and the Effects of Signal Contamination on Mapping Human Persistent Atrial Fibrillation by Vidmar, David, Alhusseini, Mahmood I, Narayan, Sanjiv M, Rappel, Wouter-Jan

“…Determining accurate intracardiac maps of atrial fibrillation (AF) in humans can be difficult, owing primarily to various sources of contamination in…”
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Machine Learning–Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes by 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

“…Machine learning is a promising approach to personalize atrial fibrillation management strategies for patients after catheter ablation. Prior atrial…”
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Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial Fibrillation by 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.

“…Advances in ablation for atrial fibrillation (AF) continue to be hindered by ambiguities in mapping, even between experts. We hypothesized that convolutional…”
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Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomography by 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

“…Structural changes in the left atrium (LA) modestly predict outcomes in patients undergoing catheter ablation for atrial fibrillation (AF). Machine learning…”
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Atrial fibrillation signatures on intracardiac electrograms identified by deep learning by Rodrigo, Miguel, Alhusseini, Mahmood I., Rogers, Albert J., Krittanawong, Chayakrit, Thakur, Sumiran, Feng, Ruibin, Ganesan, Prasanth, Narayan, Sanjiv M.

“…Automatic detection of atrial fibrillation (AF) by cardiac devices is increasingly common yet suboptimally groups AF, flutter or tachycardia (AT) together as…”
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Identification and Characterization of Sites Where Persistent Atrial Fibrillation Is Terminated by Localized Ablation by 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

“…BACKGROUND:The mechanisms by which persistent atrial fibrillation (AF) terminates via localized ablation are not well understood. To address the hypothesis…”
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Termination of persistent atrial fibrillation by ablating sites that control large atrial areas by 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

“…Abstract Aims  Persistent atrial fibrillation (AF) has been explained by multiple mechanisms which, while they conflict, all agree that more disorganized AF is…”
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Interaction of Localized Drivers and Disorganized Activation in Persistent Atrial Fibrillation: Reconciling Putative Mechanisms Using Multiple Mapping Techniques by 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

“…BACKGROUND:Mechanisms for persistent atrial fibrillation (AF) are unclear. We hypothesized that putative AF drivers and disorganized zones may interact…”
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Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation by 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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Wavefront Field Mapping Reveals a Physiologic Network Between Drivers Where Ablation Terminates Atrial Fibrillation by 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

“…BACKGROUND:Localized drivers are proposed mechanisms for persistent atrial fibrillation (AF) from optical mapping of human atria and clinical studies of AF,…”
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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 by Rodrigo, Miguel, Rogers, Albert Joseph, Ganesan, Prasanth, Deb, Brototo, Alhusseini, Mahmood I., Narayan, Sanjiv M.

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Deep Neural Network Trained on Surface ECG Improves Diagnostic Accuracy of Prior Myocardial Infarction Over Q Wave Analysis by Yildirim, Ozal, Baloglu, Ulas B, Talo, Muhammed, Ganesan, Prasanth, Tung, Jagteshwar S, Kang, Guson, Tooley, James, Alhusseini, Mahmood I., Baykaner, Tina, Wang, Paul J., Perez, Marco V., Tereshchenko, Larisa, Narayan, Sanjiv M., Rogers, Albert J

“…Clinical screening of myocardial infarction is important for preventative treatment and risk stratification in cardiology practice, however current detection…”
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B-PO04-062 COMPARING THE ACCURACY OF FEATURES TO IDENTIFY ATRIAL FIBRILLATION ON INTRACARDIAC ELECTROGRAMS by 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 by 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 by 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 by Rodrigo, Miguel, Joseph Rogers, Albert, Ganesan, Prash, Krittanawong, Chayakrit, Baykaner, Tina, Alhusseini, Mahmood I., Narayan, Sanjiv M.

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PO-683-08 MACHINED-LEARNED PHYSIOLOGICAL SIGNATURES OF SUDDEN CARDIAC DEATH by 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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