OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Explainable Machine Learning to Predict Anchored Reentry Substrate Created by Persistent Atrial Fibrillation Ablation in Computational Models
Savannah Bifulco, Fima Macheret, Griffin D Scott, et al.
Journal of the American Heart Association (2023) Vol. 12, Iss. 16
Open Access | Times Cited: 13
Savannah Bifulco, Fima Macheret, Griffin D Scott, et al.
Journal of the American Heart Association (2023) Vol. 12, Iss. 16
Open Access | Times Cited: 13
Showing 13 citing articles:
Artificial intelligence in cardiovascular medicine: clinical applications
Thomas F. Lüscher, Florian A. Wenzl, Fabrizio D’Ascenzo, et al.
European Heart Journal (2024) Vol. 45, Iss. 40, pp. 4291-4304
Closed Access | Times Cited: 25
Thomas F. Lüscher, Florian A. Wenzl, Fabrizio D’Ascenzo, et al.
European Heart Journal (2024) Vol. 45, Iss. 40, pp. 4291-4304
Closed Access | Times Cited: 25
Rotor Location During Atrial Fibrillation: A Framework Based on Data Fusion and Information Quality
Miguel A. Becerra, Diego H. Peluffo-Ordóñez, Johana Elizabeth Vela, et al.
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3665-3665
Open Access
Miguel A. Becerra, Diego H. Peluffo-Ordóñez, Johana Elizabeth Vela, et al.
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3665-3665
Open Access
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)
Massimo Salvi, Madhav R. Acharya, Silvia Seoni, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 3
Closed Access | Times Cited: 4
Massimo Salvi, Madhav R. Acharya, Silvia Seoni, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 3
Closed Access | Times Cited: 4
Multiphysics simulations reveal haemodynamic impacts of patient‐derived fibrosis‐related changes in left atrial tissue mechanics
Alejandro Gonzalo, Christoph M. Augustin, Savannah Bifulco, et al.
The Journal of Physiology (2024)
Open Access | Times Cited: 2
Alejandro Gonzalo, Christoph M. Augustin, Savannah Bifulco, et al.
The Journal of Physiology (2024)
Open Access | Times Cited: 2
Personalized biomechanical insights in atrial fibrillation: opportunities & challenges
Åshild Telle, Clarissa Bargellini, Yaacoub Chahine, et al.
Expert Review of Cardiovascular Therapy (2023) Vol. 21, Iss. 11, pp. 817-837
Closed Access | Times Cited: 5
Åshild Telle, Clarissa Bargellini, Yaacoub Chahine, et al.
Expert Review of Cardiovascular Therapy (2023) Vol. 21, Iss. 11, pp. 817-837
Closed Access | Times Cited: 5
Patient-specific multi-physics simulations of fibrotic changes in left atrial tissue mechanics impact on hemodynamics
Alejandro Gonzalo, Christoph M. Augustin, Savannah Bifulco, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Alejandro Gonzalo, Christoph M. Augustin, Savannah Bifulco, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Impact of Effective Refractory Period Personalization on Arrhythmia Vulnerability in Patient-Specific Atrial Computer Models
Patricia Martínez Díaz, Albert Dasí, Christian Goetz, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Patricia Martínez Díaz, Albert Dasí, Christian Goetz, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Impact of Effective Refractory Period Personalisation on Arrhythmia Vulnerability in Patient-Specific Atrial Computer Models
Patricia Martínez Díaz, Albert Dasí, Christian Goetz, et al.
EP Europace (2024) Vol. 26, Iss. 10
Open Access | Times Cited: 1
Patricia Martínez Díaz, Albert Dasí, Christian Goetz, et al.
EP Europace (2024) Vol. 26, Iss. 10
Open Access | Times Cited: 1
Computational Medicine: What Electrophysiologists Should Know to Stay Ahead of the Curve
Matthew J Magoon, Babak Nazer, Nazem Akoum, et al.
Current Cardiology Reports (2024)
Closed Access | Times Cited: 1
Matthew J Magoon, Babak Nazer, Nazem Akoum, et al.
Current Cardiology Reports (2024)
Closed Access | Times Cited: 1
Machine learning model for predicting left atrial thrombus or spontaneous echo contrast in non-valvular atrial fibrillation patients based on multimodal echocardiographic parameters
Decai Zeng, Shuai Chang, Xiaofeng Zhang, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Decai Zeng, Shuai Chang, Xiaofeng Zhang, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Simulation-free prediction of atrial fibrillation inducibility with the fibrotic kernel signature
Tomás Banduc, Luca Azzolin, Martin Manninger, et al.
Medical Image Analysis (2024) Vol. 99, pp. 103375-103375
Closed Access
Tomás Banduc, Luca Azzolin, Martin Manninger, et al.
Medical Image Analysis (2024) Vol. 99, pp. 103375-103375
Closed Access
Mathematical models and artificial intelligence for studying the ventricular dyssynchrony and improving the effectiveness of cardiac resynchronization therapy
Tatiana Nesterova, Vasily Kabak, Д. С. Лебедев, et al.
Russian Journal of Cardiology (2024) Vol. 29, Iss. 4S, pp. 6194-6194
Open Access
Tatiana Nesterova, Vasily Kabak, Д. С. Лебедев, et al.
Russian Journal of Cardiology (2024) Vol. 29, Iss. 4S, pp. 6194-6194
Open Access
Computational Modeling and Simulation of the Fibrotic Human Atria
Savannah Bifulco, Patrick M. Boyle
Methods in molecular biology (2023), pp. 105-115
Closed Access | Times Cited: 1
Savannah Bifulco, Patrick M. Boyle
Methods in molecular biology (2023), pp. 105-115
Closed Access | Times Cited: 1
