Variational auto-encoders improve explainability over currently employed heatmap methods for deep learning-based interpretation of the electrocardiogram

Rutger R. Van De Leur; Rutger J. Hassink; Rene Van Es

doi:10.1093/ehjdh/ztac063

Variational auto-encoders improve explainability over currently employed heatmap methods for deep learning-based interpretation of the electrocardiogram

Rutger R. Van De Leur
, Rutger J. Hassink
, Rene Van Es^*

^*Corresponding author for this work

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

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Original language	English
Pages (from-to)	502-504
Number of pages	3
Journal	European Heart Journal - Digital Health
Volume	3
Issue number	4
DOIs	https://doi.org/10.1093/ehjdh/ztac063
Publication status	Published - Dec 2022

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10.1093/ehjdh/ztac063Licence: CC BY-NC

ztac063Final published version, 181 KBLicence: CC BY-NC

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@article{794df94fa5054fe098569d50c2c448a7,

title = "Variational auto-encoders improve explainability over currently employed heatmap methods for deep learning-based interpretation of the electrocardiogram",

author = "\{Van De Leur\}, \{Rutger R.\} and Hassink, \{Rutger J.\} and \{Van Es\}, Rene",

year = "2022",

month = dec,

doi = "10.1093/ehjdh/ztac063",

language = "English",

volume = "3",

pages = "502--504",

journal = "European Heart Journal - Digital Health",

issn = "2634-3916",

publisher = "Oxford University Press",

number = "4",

}

Variational auto-encoders improve explainability over currently employed heatmap methods for deep learning-based interpretation of the electrocardiogram. / Van De Leur, Rutger R.; Hassink, Rutger J.; Van Es, Rene.
In: European Heart Journal - Digital Health, Vol. 3, No. 4, 12.2022, p. 502-504.

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

TY - JOUR

T1 - Variational auto-encoders improve explainability over currently employed heatmap methods for deep learning-based interpretation of the electrocardiogram

AU - Van De Leur, Rutger R.

AU - Hassink, Rutger J.

AU - Van Es, Rene

PY - 2022/12

Y1 - 2022/12

UR - https://www.scopus.com/pages/publications/85153867574

U2 - 10.1093/ehjdh/ztac063

DO - 10.1093/ehjdh/ztac063

M3 - Comment/Letter to the editor

AN - SCOPUS:85153867574

SN - 2634-3916

VL - 3

SP - 502

EP - 504

JO - European Heart Journal - Digital Health

JF - European Heart Journal - Digital Health

IS - 4

ER -

Variational auto-encoders improve explainability over currently employed heatmap methods for deep learning-based interpretation of the electrocardiogram

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