Paul Clopton

Medicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 22 papers. Top paper: “Machine Learning–Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes”.

Machine Learning–Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes

Circulation Arrhythmia and Electrophysiology(2022)10.1161/circep.122.010850

N/A

2.0DataRank · unranked

78 citations

Orod Razeghi, Ridhima Kapoor, Mahmood Alhusseini, Muhammad Fazal, Albert J. Rogers +7 more

Machine learning of electrophysiological signals for the prediction of ventricular arrhythmias: systematic review and examination of heterogeneity between studies

EBioMedicine(2023)10.1016/j.ebiom.2023.104462

N/A

0.590DataRank · unranked

50 citations

Brototo Deb, Samuel Ruipérez-Campillo, Neil K. Bhatia, Paul Clopton, Arthur A.M. Wilde +4 more

Automatic left atrial segmentation from cardiac CT using computer graphics imaging and deep learning

European Heart Journal(2022)10.1093/eurheartj/ehac544.472

N/A

0.135DataRank · unranked

1 citations

B Deb, Prasanth Ganesan, Albert J. Rogers, Samuel Ruipérez-Campillo, Paul Clopton +6 more

Machine learned clusters explain heterogeneity in outcomes from map-guided ablation of Atrial Fibrillation results from the large PROspective STanford AF Registry (ProSTAR)

European Heart Journal(2022)10.1093/eurheartj/ehac544.474

N/A

0DataRank · unranked

1 citations

Albert J. Rogers, N K Bhatia, Tina Baykaner, Mintu P. Turakhia, Paul Clopton +6 more

Artificial intelligence to reduce artifact in cardiac electrophysiological signals

European Heart Journal(2022)10.1093/eurheartj/ehac544.422

N/A

0DataRank · unranked

0 citations

B Deb, Renjian Feng, Prasanth Ganesan, Fleur V.Y. Tjong, Paul Clopton +3 more

Novel electrogram featurization reveals a spectrum of response to ablation from atrial tachycardia to types of atrial fibrillation

European Heart Journal(2022)10.1093/eurheartj/ehac544.471

N/A

0DataRank · unranked

0 citations

Albert J. Rogers, B Deb, Renhai Feng, Samuel Ruipérez-Campillo, Fleur V.Y. Tjong +5 more

Spatiotemporal signatures of response to atrial fibrillation ablation

European Heart Journal(2022)10.1093/eurheartj/ehac544.601

N/A

0DataRank · unranked

0 citations

Albert J. Rogers, B Deb, Renhai Feng, M Rodrigo, Samuel Ruipérez-Campillo +6 more

Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomography

Journal of Cardiovascular Electrophysiology(2023)10.1111/jce.15890

N/A

0DataRank · unranked

31 citations

Ridhima Kapoor, Mahmood Alhusseini, Muhammad Fazal, Siyi Tang, Caroline H. Roney +9 more

Dynamic prediction of malignant ventricular arrhythmias using neural networks in patients with an implantable cardioverter-defibrillator

EBioMedicine(2023)10.1016/j.ebiom.2023.104937

N/A

0DataRank · unranked

30 citations

Samuel Ruipérez-Campillo, Laura Alvarez-Florez, Brototo Deb, Erik J. Bekkers, Cornelis P. Allaart +8 more

Quantifying a spectrum of clinical response in atrial tachyarrhythmias using spatiotemporal synchronization of electrograms

EP Europace(2023)10.1093/europace/euad055

N/A

0DataRank · unranked

19 citations

Brototo Deb, Ruibin Feng, Miguel Rodrigo, Samuel Ruipérez-Campillo, Albert J. Rogers +7 more

Segmenting computed tomograms for cardiac ablation using machine learning leveraged by domain knowledge encoding

Frontiers in Cardiovascular Medicine(2023)10.3389/fcvm.2023.1189293

N/A

0DataRank · unranked

4 citations

Brototo Deb, Prasanth Ganesan, Fleur V.Y. Tjong, Albert J. Rogers, Samuel Ruipérez-Campillo +9 more

Sleep apnea independently predicts incident atrial fibrillation in the young - Implications for targeted screening

European Heart Journal(2023)10.1093/eurheartj/ehad655.450

N/A

0DataRank · unranked

1 citations

Sunil K. Vasireddi, N K Bhatia, Albert J. Rogers, Paul Clopton, Sanjiv M. Narayan +1 more

Novel scoring system for predicting mortality in patients with ventricular arrhythmias: Analysis from a 24,000 patient cohort

European Heart Journal(2023)10.1093/eurheartj/ehad655.638

N/A

0DataRank · unranked

0 citations

Albert J. Rogers, Fleur V.Y. Tjong, Sonali Somani, Yaanik Desai, Zahra Azizi +5 more

Predicting success of atrial fibrillation ablation: comparing machine learning approaches of intracardiac electrograms

European Heart Journal(2023)10.1093/eurheartj/ehad655.517

N/A

0DataRank · unranked

0 citations

Prasanth Ganesan, Brototo Deb, Samuel Ruipérez-Campillo, H J Chang, Paul Clopton +6 more

Novel Domain Knowledge-Encoding Algorithm Enables Label-Efficient Deep Learning for Cardiac CT Segmentation to Guide Atrial Fibrillation Treatment in a Pilot Dataset

Diagnostics(2024)10.3390/diagnostics14141538

N/A

0DataRank · unranked

3 citations

Ruibin Feng, Brototo Deb, Fleur V.Y. Tjong, Albert J. Rogers, Samuel Ruipérez-Campillo +9 more

Women Trainees in Electrophysiology and the Effect of Role Models

Circulation Arrhythmia and Electrophysiology(2024)10.1161/circep.123.012577

N/A

0DataRank · unranked

2 citations

S Greif, Ramya Vajapey, Christine M. Albert, Zaid Aziz, Nitish Badhwar +29 more

Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram

npj Digital Medicine(2025)10.1038/s41746-024-01407-y

N/A

0DataRank · unranked

7 citations

Neal K. Bhatia, Sabyasachi Bandyopadhyay, James Tooley, Rayan Ansari, Vyom Thakkar +13 more

Identification of atrial myopathy and atrial fibrillation recurrence after ablation using 3D left atrial phasic strain from retrospective gated computed tomography

European Heart Journal - Imaging Methods and Practice(2025)10.1093/ehjimp/qyaf027

N/A

0DataRank · unranked

4 citations

Orod Razeghi, Tiffany M G Baptiste, Angela Lee, José Alonso Solís-Lemus, Cristóbal Rodero +11 more

Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death

Circulation Research(2020)10.1161/circresaha.120.317345

N/A

0DataRank · unranked

54 citations

Anojan Selvalingam, Mahmood Alhusseini, David E. Krummen, Cesare Corrado, Firas Abuzaid +11 more

Predicting dementia in patients with atrial fibrillation using machine learning of a large multimodal registry

EP Europace(2025)10.1093/europace/euaf085.294

N/A

0DataRank · unranked

0 citations

Sabyasachi Bandyopadhyay, Prasanth Ganesan, H J Chang, Renhai Feng, Kathryn Brennan +5 more

Termination of persistent atrial fibrillation by ablating sites that control large atrial areas

EP Europace(2020)10.1093/europace/euaa018

N/A

0DataRank · unranked

17 citations

Albert J. Rogers, David E. Krummen, Samir Hossainy, William H. Sauer, John M. Miller +11 more

Extent of atrium with 1:1 electrogram activation predicts response to ablation of atrial fibrillation

EP Europace(2021)10.1093/europace/euab116.260

N/A

0DataRank · unranked

0 citations

Neal K. Bhatia, Rogers Aj, David E. Krummen, PENG NAN WANG, Paul Clopton +3 more