Deep learning-based insights on T:R ratio behaviour during prolonged screening for S-ICD eligibility
Deep learning-based insights on T:R ratio behaviour during prolonged screening for S-ICD eligibility
Elrefai, Mohamed
28916fea-4687-4d4b-99aa-961e73b710ab
Abouelasaad, Mohamed
62c5bd28-9c5f-4287-8b63-b25b2a2b7966
Wiles, Benedict M.
a42ba978-24c3-4533-8eca-498102004477
Dunn, Anthony J.
161d9c8e-6813-4909-95ea-6c11bbbca287
Coniglio, Stefano
03838248-2ce4-4dbc-a6f4-e010d6fdac67
Zemkoho, Alain B.
30c79e30-9879-48bd-8d0b-e2fbbc01269e
Roberts, Paul R.
193431e8-f9d5-48d6-8f62-ed9052b2571d
13 May 2022
Elrefai, Mohamed
28916fea-4687-4d4b-99aa-961e73b710ab
Abouelasaad, Mohamed
62c5bd28-9c5f-4287-8b63-b25b2a2b7966
Wiles, Benedict M.
a42ba978-24c3-4533-8eca-498102004477
Dunn, Anthony J.
161d9c8e-6813-4909-95ea-6c11bbbca287
Coniglio, Stefano
03838248-2ce4-4dbc-a6f4-e010d6fdac67
Zemkoho, Alain B.
30c79e30-9879-48bd-8d0b-e2fbbc01269e
Roberts, Paul R.
193431e8-f9d5-48d6-8f62-ed9052b2571d
Elrefai, Mohamed, Abouelasaad, Mohamed, Wiles, Benedict M., Dunn, Anthony J., Coniglio, Stefano, Zemkoho, Alain B. and Roberts, Paul R.
(2022)
Deep learning-based insights on T:R ratio behaviour during prolonged screening for S-ICD eligibility.
Journal of Interventional Cardiac Electrophysiology.
(doi:10.1007/s10840-022-01245-6).
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Accepted/In Press date: 4 May 2022
Published date: 13 May 2022
Identifiers
Local EPrints ID: 478394
URI: http://eprints.soton.ac.uk/id/eprint/478394
ISSN: 1383-875X
PURE UUID: c52c95ce-8d8b-43a6-857b-935685232ae9
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Date deposited: 29 Jun 2023 16:56
Last modified: 17 Mar 2024 03:40
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Contributors
Author:
Mohamed Elrefai
Author:
Mohamed Abouelasaad
Author:
Benedict M. Wiles
Author:
Anthony J. Dunn
Author:
Paul R. Roberts
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