Takip et
Mahmood Alhusseini
Mahmood Alhusseini
stanford.edu üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Clinical implications of ablation of drivers for atrial fibrillation: a systematic review and meta-analysis
T Baykaner, AJ Rogers, GL Meckler, J Zaman, R Navara, M Rodrigo, ...
Circulation: Arrhythmia and Electrophysiology 11 (5), e006119, 2018
992018
Machine learning to classify intracardiac electrical patterns during atrial fibrillation: machine learning of atrial fibrillation
MI Alhusseini, F Abuzaid, AJ Rogers, JAB Zaman, T Baykaner, P Clopton, ...
Circulation: Arrhythmia and Electrophysiology 13 (8), e008160, 2020
572020
Identification and characterization of sites where persistent atrial fibrillation is terminated by localized ablation
JAB Zaman, WH Sauer, MI Alhusseini, T Baykaner, RT Borne, ...
Circulation: Arrhythmia and Electrophysiology 11 (1), e005258, 2018
552018
Two independent mapping techniques identify rotational activity patterns at sites of local termination during persistent atrial fibrillation
M Alhusseini, D Vidmar, GL Meckler, CA Kowalewski, F Shenasa, ...
Journal of cardiovascular electrophysiology 28 (6), 615-622, 2017
532017
Machine learned cellular phenotypes in cardiomyopathy predict sudden death
AJ Rogers, A Selvalingam, MI Alhusseini, DE Krummen, C Corrado, ...
Circulation Research 128 (2), 172-184, 2021
422021
Machine learning–enabled multimodal fusion of intra-atrial and body surface signals in prediction of atrial fibrillation ablation outcomes
S Tang, O Razeghi, R Kapoor, MI Alhusseini, M Fazal, AJ Rogers, ...
Circulation: Arrhythmia and Electrophysiology 15 (8), e010850, 2022
392022
Interaction of localized drivers and disorganized activation in persistent atrial fibrillation: reconciling putative mechanisms using multiple mapping techniques
CAB Kowalewski, F Shenasa, M Rodrigo, P Clopton, G Meckler, ...
Circulation: Arrhythmia and Electrophysiology 11 (6), e005846, 2018
372018
Noninvasive assessment of complexity of atrial fibrillation: correlation with contact mapping and impact of ablation
M Rodrigo, AM Climent, I Hernández-Romero, A Liberos, T Baykaner, ...
Circulation: Arrhythmia and Electrophysiology 13 (3), e007700, 2020
362020
Comparing phase and electrographic flow mapping for persistent atrial fibrillation
M Swerdlow, M Tamboli, MI Alhusseini, N Moosvi, AJ Rogers, G Leef, ...
Pacing and Clinical Electrophysiology 42 (5), 499-507, 2019
222019
Spatial relationship of organized rotational and focal sources in human atrial fibrillation to autonomic ganglionated plexi
T Baykaner, TA Zografos, JAB Zaman, I Pantos, M Alhusseini, R Navara, ...
International journal of cardiology 240, 234-239, 2017
182017
Termination of persistent atrial fibrillation by ablating sites that control large atrial areas
NK Bhatia, AJ Rogers, DE Krummen, S Hossainy, W Sauer, JM Miller, ...
EP Europace 22 (6), 897-905, 2020
152020
Non-invasive spatial mapping of frequencies in atrial fibrillation: Correlation with contact mapping
M Rodrigo, K Waddell, S Magee, AJ Rogers, M Alhusseini, ...
Frontiers in Physiology 11, 611266, 2021
132021
High salinity permittivity models for water cut sensing
MJ Black, M Alhusseini, MN Noui-Mehidi
IEEE Transactions on Instrumentation and Measurement 62 (10), 2805-2811, 2013
132013
Atrial fibrillation signatures on intracardiac electrograms identified by deep learning
M Rodrigo, MI Alhusseini, AJ Rogers, C Krittanawong, S Thakur, R Feng, ...
Computers in biology and medicine 145, 105451, 2022
102022
Wavefront field mapping reveals a physiologic network between drivers where ablation terminates atrial fibrillation
G Leef, F Shenasa, NK Bhatia, AJ Rogers, W Sauer, JM Miller, ...
Circulation: Arrhythmia and Electrophysiology 12 (8), e006835, 2019
102019
Spatial relationship of sites for atrial fibrillation drivers and atrial tachycardia in patients with both arrhythmias
T Baykaner, JAB Zaman, AJ Rogers, R Navara, M AlHusseini, RT Borne, ...
International journal of cardiology 248, 188-195, 2017
102017
Machine learned cellular phenotypes predict outcome in ischemic cardiomyopathy
AJ Rogers, A Selvalingam, MI Alhusseini, DE Krummen, C Corrado, ...
Circulation research 128 (2), 172, 2020
92020
Online webinar training to analyse complex atrial fibrillation maps: A randomized trial
J Mesquita, N Maniar, T Baykaner, AJ Rogers, M Swerdlow, MI Alhusseini, ...
Plos one 14 (7), e0217988, 2019
72019
System and method to maintain health using personal digital phenotypes
SM Narayan, M Alhusseini
US Patent 11,786,174, 2023
52023
Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomography
O Razeghi, R Kapoor, MI Alhusseini, M Fazal, S Tang, CH Roney, ...
Journal of cardiovascular electrophysiology 34 (5), 1164-1174, 2023
52023
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