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Yingjing Feng
Yingjing Feng
Postdoctoral Research Fellow, University of Birmingham
Verified email at bham.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
4502020
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
192017
Deep Multi-label Multi-instance Classification on 12-Lead ECG
Y Feng, E Vigmond
Computing in Cardiology 2020, 2020
112020
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
52022
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
52021
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
32020
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
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Articles 1–9