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of 929
pro vyhledávání: '"Leeson, Paul"'
Autor:
Reynaud, Hadrien, Meng, Qingjie, Dombrowski, Mischa, Ghosh, Arijit, Day, Thomas, Gomez, Alberto, Leeson, Paul, Kainz, Bernhard
To make medical datasets accessible without sharing sensitive patient information, we introduce a novel end-to-end approach for generative de-identification of dynamic medical imaging data. Until now, generative methods have faced constraints in term
Externí odkaz:
http://arxiv.org/abs/2406.00808
Autor:
Gevaert, Andreas B., Adams, Volker, Bahls, Martin, Bowen, T. Scott, Cornelissen, Veronique, Dörr, Marcus, Hansen, Dominique, Kemps, Hareld M.C., Leeson, Paul, Van Craenenbroeck, Emeline M., Kränkel, Nicolle
The benefit of regular physical activity and exercise training for the prevention of cardiovascular and metabolic diseases is undisputed. Many molecular mechanisms mediating exercise effects have been deciphered. Personalised exercise prescription ca
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A72114
https://tud.qucosa.de/api/qucosa%3A72114/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A72114/attachment/ATT-0/
Autor:
Reynaud, Hadrien, Qiao, Mengyun, Dombrowski, Mischa, Day, Thomas, Razavi, Reza, Gomez, Alberto, Leeson, Paul, Kainz, Bernhard
Image synthesis is expected to provide value for the translation of machine learning methods into clinical practice. Fundamental problems like model robustness, domain transfer, causal modelling, and operator training become approachable through synt
Externí odkaz:
http://arxiv.org/abs/2303.12644
Autor:
Reynaud, Hadrien, Vlontzos, Athanasios, Dombrowski, Mischa, Lee, Ciarán, Beqiri, Arian, Leeson, Paul, Kainz, Bernhard
Causally-enabled machine learning frameworks could help clinicians to identify the best course of treatments by answering counterfactual questions. We explore this path for the case of echocardiograms by looking into the variation of the Left Ventric
Externí odkaz:
http://arxiv.org/abs/2206.01651
Autor:
Reynaud, Hadrien, Vlontzos, Athanasios, Hou, Benjamin, Beqiri, Arian, Leeson, Paul, Kainz, Bernhard
Cardiac ultrasound imaging is used to diagnose various heart diseases. Common analysis pipelines involve manual processing of the video frames by expert clinicians. This suffers from intra- and inter-observer variability. We propose a novel approach
Externí odkaz:
http://arxiv.org/abs/2107.00977
Autor:
Chisholm, Alison, Tucker, Katherine L, Crawford, Carole, Green, Marcus, Greenfield, Sheila, Hodgkinson, James, Lavallee, Layla, Leeson, Paul, Mackillop, Lucy, McCourt, Christine, Sandall, Jane, Wilson, Hannah, Chappell, Lucy C, McManus, Richard J, Hinton, Lisa
Publikováno v:
In Pregnancy Hypertension: An International Journal of Women's Cardiovascular Health March 2024 35:88-95
Akademický článek
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Akademický článek
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