Mahmood Alhusseini

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 9 papers. Top paper: “Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death”.

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

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

Deep neural network trained on surface ECG improves diagnostic accuracy of prior myocardial infarction over Q wave analysis

European Heart Journal(2020)10.1093/ehjci/ehaa946.3440

N/A

0DataRank · unranked

3 citations

Joseph Tung, James Tooley, Neal K. Bhatia, Guson Kang, Mahmood Alhusseini +7 more

Non-invasive Spatial Mapping of Frequencies in Atrial Fibrillation: Correlation With Contact Mapping

Frontiers in Physiology(2021)10.3389/fphys.2020.611266

N/A

0DataRank · unranked

13 citations

Kian Waddell, Sarah Magee, Albert J. Rogers, Mahmood Alhusseini, Ismael Hernández‐Romero +4 more

Three dimensional reconstruction to visualize atrial fibrillation activation patterns on curved atrial geometry

PLoS ONE(2021)10.1371/journal.pone.0249873

N/A

0DataRank · unranked

4 citations

Orvil Collart, Prasanth Ganesan, Albert J. Rogers, Mahmood Alhusseini, Miguel Rodrigo +3 more

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

0DataRank · unranked

78 citations

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

Atrial fibrillation signatures on intracardiac electrograms identified by deep learning

Computers in Biology and Medicine(2022)10.1016/j.compbiomed.2022.105451

N/A

0DataRank · unranked

26 citations

Mahmood Alhusseini, Albert J. Rogers, Chayakrit Krittanawong, Sumiran Thakur, Ruibin Feng +3 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

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