Physics-informed Fully Connected and Recurrent Neural Networks for Cardiac Electrophysiology Modelling

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Access to Document

@inbook{f8ea8f85bf8e412382756e321f4d4a39,

title = "Physics-informed Fully Connected and Recurrent Neural Networks for Cardiac Electrophysiology Modelling",

author = "Iulia Nazarov and Ihsane Olakorede and Ahmed Qureshi and Shaheim Ogbomo-Harmitt and Oleg Aslanidi",

year = "2022",

month = dec,

doi = "10.22489/CinC.2022.188",

language = "English",

isbn = "2325-887X",

volume = "49",

booktitle = "2022 Computing in Cardiology",

publisher = "IEEE Computer Society",

address = "United States",

}

TY - CHAP

T1 - Physics-informed Fully Connected and Recurrent Neural Networks for Cardiac Electrophysiology Modelling

AU - Nazarov, Iulia

AU - Olakorede, Ihsane

AU - Qureshi, Ahmed

AU - Ogbomo-Harmitt, Shaheim

AU - Aslanidi, Oleg

PY - 2022/12

Y1 - 2022/12

U2 - 10.22489/CinC.2022.188

DO - 10.22489/CinC.2022.188

M3 - Conference paper

SN - 2325-887X

VL - 49

BT - 2022 Computing in Cardiology

PB - IEEE Computer Society

ER -