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Tina Baykaner
Tina Baykaner
Bestätigte E-Mail-Adresse bei stanford.edu
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Zitiert von
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Ablation of rotor and focal sources reduces late recurrence of atrial fibrillation compared with trigger ablation alone: extended follow-up of the CONFIRM trial (Conventional …
SM Narayan, T Baykaner, P Clopton, A Schricker, GG Lalani, ...
Journal of the American College of Cardiology 63 (17), 1761-1768, 2014
3892014
Initial independent outcomes from focal impulse and rotor modulation ablation for atrial fibrillation: multicenter FIRM registry
JM Miller, RC Kowal, V Swarup, JP Daubert, EG Daoud, JD Day, ...
Journal of cardiovascular electrophysiology 25 (9), 921-929, 2014
2112014
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
902018
Predicting determinants of atrial fibrillation or flutter for therapy elucidation in patients at risk for thromboembolic events (PREDATE AF) study
JM Nasir, W Pomeroy, A Marler, M Hann, T Baykaner, R Jones, R Stoll, ...
Heart Rhythm 14 (7), 955-961, 2017
902017
Stability of rotors and focal sources for human atrial fibrillation: focal impulse and rotor mapping (FIRM) of AF sources and fibrillatory conduction
V Swarup, T Baykaner, A Rostamian, JP Daubert, J Hummel, ...
Journal of cardiovascular electrophysiology 25 (12), 1284-1292, 2014
762014
Safety and efficacy of zero fluoroscopy transseptal puncture with different approaches
T Baykaner, KK Quadros, A Thosani, B Yasmeh, R Mitra, E Liu, W Belden, ...
Pacing and Clinical Electrophysiology 43 (1), 12-18, 2020
522020
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
522018
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
492020
Targeted ablation at stable atrial fibrillation sources improves success over conventional ablation in high-risk patients: a substudy of the CONFIRM Trial
T Baykaner, P Clopton, GG Lalani, AA Schricker, DE Krummen, ...
Canadian Journal of Cardiology 29 (10), 1218-1226, 2013
382013
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
362021
Modifying ventricular fibrillation by targeted rotor substrate ablation: proof‐of‐concept from experimental studies to clinical VF
DE Krummen, J Hayase, SP Vampola, G Ho, AA Schricker, GG Lalani, ...
Journal of cardiovascular electrophysiology 26 (10), 1117-1126, 2015
362015
Mapping and ablating stable sources for atrial fibrillation: summary of the literature on Focal Impulse and Rotor Modulation (FIRM)
T Baykaner, GG Lalani, A Schricker, DE Krummen, SM Narayan
Journal of Interventional Cardiac Electrophysiology 40, 237-244, 2014
362014
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
352018
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
322020
Safety and efficacy of minimal-versus zero-fluoroscopy radiofrequency catheter ablation for atrial fibrillation: a multicenter, prospective study
PC Zei, KK Quadros, P Clopton, A Thosani, J Ferguson, C Brodt, ...
The Journal of Innovations in Cardiac Rhythm Management 11 (11), 4281, 2020
282020
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
252022
Shared decision making in cardiac electrophysiology procedures and arrhythmia management
MK Chung, A Fagerlin, PJ Wang, TB Ajayi, LA Allen, T Baykaner, ...
Circulation: Arrhythmia and Electrophysiology 14 (12), e007958, 2021
242021
Recurrent post-ablation paroxysmal atrial fibrillation shares substrates with persistent atrial fibrillation: an 11-center study
JAB Zaman, T Baykaner, P Clopton, V Swarup, RC Kowal, JP Daubert, ...
Clinical Electrophysiology 3 (4), 393-402, 2017
242017
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
212019
Ablation of focal impulses and rotational sources: What can be learned from differing procedural outcomes?
SM Narayan, M Rodrigo, CAB Kowalewski, F Shenasa, GL Meckler, ...
Current Cardiovascular Risk Reports 11, 1-9, 2017
192017
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