The ‘Digital Twin’to enable the vision of precision cardiology J Corral-Acero, F Margara, M Marciniak, C Rodero, F Loncaric, Y Feng, ... European heart journal 41 (48), 4556-4564, 2020 | 438 | 2020 |
An efficient cardiac mapping strategy for radiofrequency catheter ablation with active learning Y Feng, Z Guo, Z Dong, XY Zhou, KW Kwok, S Ernst, SL Lee International journal of computer assisted radiology and surgery 12, 1199-1207, 2017 | 17 | 2017 |
Deep Multi-label Multi-instance Classification on 12-Lead ECG Y Feng, E Vigmond Computing in Cardiology 2020, 2020 | 11 | 2020 |
Detection of focal source and arrhythmogenic substrate from body surface potentials to guide atrial fibrillation ablation Y Feng, CH Roney, JD Bayer, SA Niederer, M Hocini, EJ Vigmond PLoS Computational Biology 18 (3), e1009893, 2022 | 5 | 2022 |
A novel method to correct repolarization time estimation from unipolar electrograms distorted by standard filtering P Langfield, Y Feng, LR Bear, J Duchateau, R Sebastian, E Abell, ... Medical Image Analysis 72, 102075, 2021 | 5 | 2021 |
Robust Atrial Ectopic Beat Classification from Surface ECG using Second-order Blind Source Separation Y Feng, C Roney, M Hocini, S Niederer, E Vigmond Computing in Cardiology 2020, 2020 | 3 | 2020 |
Atrial Periodic Source Spectrum from Preoperative Body Surface Potentials Predicts Long-term Recurrence of Atrial Fibrillation Y Feng, R Dubois, M Hocini, EJ Vigmond IEEE Transactions on Biomedical Engineering, 2023 | | 2023 |
Spatiotemporal machine learning on scanner-free body surface potential imaging aided by multiscale modeling for personalized atrial fibrillation treatment Y Feng PhD thesis, Université de Bordeaux, 2021 | | 2021 |
Noninvasive One-Year Ablation Outcome Prediction for Paroxysmal Atrial Fibrillation using Trajectories of Activation from Body Surface Potential Maps Y Feng, M Saha, M Hocini, E Vigmond Computing in Cardiology 2019, 2019 | | 2019 |