Rethinking multiscale cardiac electrophysiology with machine learning
and predictive modelling

Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling

9 October 2018

Yumnah Mohamied

Konstantinos N. Tzortzis

Anil A. Bharath

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Papers citing "Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling"

4 / 4 papers shown

Title
Estimation of fibre architecture and scar in myocardial tissue using electrograms: an in-silico studyBiomedical Signal Processing and Control (BSPC), 2022 Konstantinos Ntagiantas E. Pignatelli N. Peters C. Cantwell R. Chowdhury Anil A. Bharath 226 3 0 06 Dec 2022
Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning Xiajun Jiang Zhiyuan Li R. Missel Md Shakil Zaman B. Zenger W. Good Rob S. MacLeod J. Sapp Linwei Wang MedIm 137 2 0 06 Oct 2022
pyABC: Efficient and robust easy-to-use approximate Bayesian computationJournal of Open Source Software (JOSS), 2022 Yannik Schälte Emmanuel Klinger Emad Alamoudi Jan Hasenauer 181 37 0 24 Mar 2022
Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network Antônio H. Ribeiro Manoel Horta Ribeiro Gabriela M. M. Paixão D. Oliveira P. R. Gomes Jéssica A. Canazart M. Pifano Wagner Meira Thomas B. Schon A. L. Ribeiro 81 8 0 28 Nov 2018