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The application of deep learning methods in S-ICD screening—a promising approach?

The application of deep learning methods in S-ICD screening—a promising approach?
The application of deep learning methods in S-ICD screening—a promising approach?
Elrefai, Mohamed Hassan
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Abouelasaad, Mohamed
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Wiles, B.
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Dunn, Anthony James
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Coniglio, Stefano
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Zemkoho, Alain
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Roberts, P.
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Elrefai, Mohamed Hassan
4d86f2a6-1a92-450d-b3c0-91e6482ff9e9
Abouelasaad, Mohamed
62c5bd28-9c5f-4287-8b63-b25b2a2b7966
Wiles, B.
b93f43dc-7721-42ff-8d22-de0f41a18572
Dunn, Anthony James
161d9c8e-6813-4909-95ea-6c11bbbca287
Coniglio, Stefano
03838248-2ce4-4dbc-a6f4-e010d6fdac67
Zemkoho, Alain
30c79e30-9879-48bd-8d0b-e2fbbc01269e
Roberts, P.
c0b2254d-e9cc-4285-82b1-a8a4594a2038

Elrefai, Mohamed Hassan, Abouelasaad, Mohamed, Wiles, B., Dunn, Anthony James, Coniglio, Stefano, Zemkoho, Alain and Roberts, P. (2012) The application of deep learning methods in S-ICD screening—a promising approach? European Journal of Arrhythmia & Electrophysiology.

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Published date: 9 October 2012
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Identifiers

Local EPrints ID: 508589
URI: http://eprints.soton.ac.uk/id/eprint/508589
PURE UUID: c4428867-0c3d-4a1d-9a67-e53b092bea84
ORCID for Anthony James Dunn: ORCID iD orcid.org/0009-0006-1179-117X
ORCID for Stefano Coniglio: ORCID iD orcid.org/0000-0001-9568-4385
ORCID for Alain Zemkoho: ORCID iD orcid.org/0000-0003-1265-4178

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Date deposited: 27 Jan 2026 18:06
Last modified: 28 Jan 2026 03:40

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Contributors

Author: Mohamed Hassan Elrefai
Author: Mohamed Abouelasaad
Author: B. Wiles
Author: Anthony James Dunn ORCID iD
Author: Stefano Coniglio ORCID iD
Author: Alain Zemkoho ORCID iD
Author: P. Roberts

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