Zobrazeno 1 - 9 of 9 pro vyhledávání: '"Akis Linardos"'
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Akademický článek
Federated learning for multi-center imaging diagnostics: a simulation study in cardiovascular disease
Autor: Akis Linardos, Kaisar Kushibar, Sean Walsh, Polyxeni Gkontra, Karim Lekadir
Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Deep learning models can enable accurate and efficient disease diagnosis, but have thus far been hampered by the data scarcity present in the medical world. Automated diagnosis studies have been constrained by underpowered single-center data
Externí odkaz: https://doaj.org/article/1a6fa45fb83e4018859617ded4560dfd
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2
Data synthesis and adversarial networks
Autor: Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Diaz, Karim Lekadir
Publikováno v: Medical Image Analysis. 84
Despite technological and medical advances, the detection, interpretation, and treatment of cancer based on imaging data continue to pose significant challenges. These include inter-observer variability, class imbalance, dataset shifts, inter- and in
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53b8c365717a76d782745d9887c106dd
https://doi.org/10.1016/j.media.2022.102704
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5
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease
Autor: Kaisar Kushibar, Sean Walsh, Karim Lekadir, Akis Linardos, Polyxeni Gkontra
Publikováno v: Research Square
Deep learning models can enable accurate and efficient disease diagnosis, but have thus far been hampered by the data scarcity present in the medical world. Automated diagnosis studies have been constrained by underpowered single-center datasets, and
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b13e888bc1363bbcb2e083370eb7178
http://arxiv.org/abs/2107.03901
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6
Federated learning for multi-center imaging diagnostics: a simulation study in cardiovascular disease
Autor: Akis Linardos, Kaisar Kushibar, Sean Walsh, Polyxeni Gkontra, Karim Lekadir
Publikováno v: Scientific reports. 12(1)
Deep learning models can enable accurate and efficient disease diagnosis, but have thus far been hampered by the data scarcity present in the medical world. Automated diagnosis studies have been constrained by underpowered single-center datasets, and
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c383476c1534059e2ce8d6dd13d3805
https://pubmed.ncbi.nlm.nih.gov/35241683
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7
Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools
Autor: Oliver Diaz, Laura Igual, Petia Radeva, Akis Linardos, Polyxeni Gkontra, Kaisar Kushibar, Lidia Garrucho, Fred W. Prior, Richard Osuala, Karim Lekadir
Publikováno v: Dipòsit Digital de la UB
Universidad de Barcelona
The vast amount of data produced by today's medical imaging systems has led medical professionals to turn to novel technologies in order to efficiently handle their data and exploit the rich information present in them. In this context, artificial in
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f8a7294e75a73231d9f91872c655450
http://hdl.handle.net/2445/184093
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