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Multi-lead electrocardiogram (ECG) provides clinical information of heartbeats from several fixed viewpoints determined by the lead positioning.
Electrocardiography in practice
Ashton Graybiel, Paul Dudley White, et al · 1946
Earlier work this paper cites.
Spatial vector electrocardiography: A method for calculating the spatial electrical vectors of the heart from conventional leads
Robert P Grant · 1950
Earlier work this paper cites.
An accurate, clinically practical system for spatial vectorcardiography
Ernest Frank · 1956
Earlier work this paper cites.
A sequential angular lead presentation
Robert B Case, William A Tansey, and Allen H Mogtader · 1979
Earlier work this paper cites.
Vectorcardiogram synthesized from a 12-lead ECG: Superiority of the inverse Dower matrix
Lars Edenbrandt and Olle Pahlm · 1988
Earlier work this paper cites.
Vectorcardiogram synthesized from a 12-lead ECG: superiority of the inverse Dower matrix
Lars Edenbrandt and Olle Pahlm · 1988
Earlier work this paper cites.
Reconstruction of the Frank vectorcardiogram from standard electrocardiographic leads: Diagnostic comparison of different methods
JA Kors, G Van Herpen, et al · 1990
Earlier work this paper cites.
Panoramic display of the orderly sequenced 12-lead ECG
Stanley T Anderson, Olle Pahlm, et al · 1994
Earlier work this paper cites.
Nutzung der EKG-Signaldatenbank CARDIODAT der PTB über das Internet
R Bousseljot, D Kreiseler, and A Schnabel · 1995
Earlier work this paper cites.
PhysioNet: A web-based resource for the study of physiologic signals
George B Moody, Roger G Mark, and Ary L Goldberger · 2001
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, et al · 2014
Earlier work this paper cites.
Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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Stochastic backpropagation and variational inference in deep latent Gaussian models
Danilo Jimenez Rezende, Shakir Mohamed, et al · 2014
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Fast R-CNN
Ross Girshick · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2015
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Mask R-CNN
Kaiming He, Georgia Gkioxari, et al · 2017
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ECG heartbeat classification: A deep transferable representation
Mohammad Kachuee, Shayan Fazeli, and Majid Sarrafzadeh · 2018
A transfer learning based super-resolution microscopy for biopsy slice images: the joint methods perspective
Jintai Chen, Haochao Ying, et al · 2020
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Flow-Mixup: Classifying multi-labeled medical images with corrupted labels
Jintai Chen, Hongyun Yu, et al · 2020
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Comparison of spatial temporal representations of the vectorcardiogram using digital image processing
Ittalo dos Santos Silva, José Raimundo Barbosa, et al · 2020
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KD3A: Unsupervised multi-source decentralized domain adaptation via knowledge distillation
Hao-Zhe Feng, Zhaoyang You, et al · 2020
Later among the works it cites.
Improving ECG classification using generative adversarial networks
Tomer Golany, Gal Lavee, et al · 2020
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Feasibility of ECG reconstruction from minimal lead sets using convolutional neural networks
Maksymilian Matyschik, Henry Mauranen, et al · 2020
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, et al · 2020
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Reconstruction of 12-lead electrocardiogram from a three-lead patch-type device using a LSTM network
Jangjay Sohn, Seungman Yang, Joonnyong Lee, et al · 2020
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