Commentary: EP-PINNs: Cardiac electrophysiology characterisation using physics-informed neural networks

Stefan Meier; Jordi Heijman

doi:10.3389/fcvm.2022.1003652

Commentary: EP-PINNs: Cardiac electrophysiology characterisation using physics-informed neural networks

Stefan Meier
, Jordi Heijman^*

^*Corresponding author for this work

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

Original language	English
Article number	1003652
Number of pages	4
Journal	Frontiers in Cardiovascular Medicine
Volume	9
DOIs	https://doi.org/10.3389/fcvm.2022.1003652
Publication status	Published - 24 Aug 2022

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10.3389/fcvm.2022.1003652Licence: CC BY

Cite this

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title = "Commentary: EP-PINNs: Cardiac electrophysiology characterisation using physics-informed neural networks",

author = "Stefan Meier and Jordi Heijman",

note = "Funding Information: This work was supported by the Netherlands Organization for Scientific Research (NWO/ZonMW Vidi 09150171910029 to JH). ",

year = "2022",

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doi = "10.3389/fcvm.2022.1003652",

language = "English",

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AU - Meier, Stefan

AU - Heijman, Jordi

N1 - Funding Information: This work was supported by the Netherlands Organization for Scientific Research (NWO/ZonMW Vidi 09150171910029 to JH).

PY - 2022/8/24

Y1 - 2022/8/24

U2 - 10.3389/fcvm.2022.1003652

DO - 10.3389/fcvm.2022.1003652

M3 - Comment/Letter to the editor

C2 - 36093140

SN - 2297-055X

VL - 9

JO - Frontiers in Cardiovascular Medicine

JF - Frontiers in Cardiovascular Medicine

M1 - 1003652

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