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Rethinking multiscale cardiac electrophysiology with machine learning
  and predictive modelling

Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling

9 October 2018
C. Cantwell
Yumnah Mohamied
Konstantinos N. Tzortzis
Stef Garasto
C. Houston
R. Chowdhury
F. Ng
Anil A. Bharath
N. Peters
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Papers citing "Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling"

3 / 3 papers shown
Title
Estimation of fibre architecture and scar in myocardial tissue using
  electrograms: an in-silico study
Estimation of fibre architecture and scar in myocardial tissue using electrograms: an in-silico study
Konstantinos Ntagiantas
E. Pignatelli
N. Peters
C. Cantwell
R. Chowdhury
Anil A. Bharath
21
1
0
06 Dec 2022
pyABC: Efficient and robust easy-to-use approximate Bayesian computation
pyABC: Efficient and robust easy-to-use approximate Bayesian computation
Yannik Schälte
Emmanuel Klinger
Emad Alamoudi
Jan Hasenauer
11
22
0
24 Mar 2022
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,906
0
13 Jun 2015
1