Search Results - "Galazis, C"

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  1. 1

    Using AI and passive medical radiometry for diagnostics (MWR) of venous diseases by Levshinskii, V, Galazis, C., Losev, A., Zamechnik, T., Kharybina, T., Vesnin, S., Goryanin, I.

    “…•First time Passive Medical Radiometry (MWR) and AI have been used to identify venous disease patients with sensitivity above 0.8 and a specificity above 0.7…”
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    Journal Article
  2. 2

    An artificial intelligence-based landmark model for early detection of aortic stenosis in Cardiac MRI by Vimalesvaran, K, Sanchez, A, Zaman, S, Galazis, C, Varela, M, Linton, N, Howard, J P, Cole, G D, Bharath, A A

    Published in European heart journal (28-10-2024)
    “…Abstract Background The utilisation of ratiometric intensity measures from cardiac magnetic resonance imaging (CMR) offers a promising biomarker for the…”
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    Journal Article
  3. 3

    automatic detection of aortic valve pathology using 3-chamber cine MRI by On, Y, Vimalesvaran, K, Galazis, C, Zaman, S, Howard, J, Linton, N, Peters, N, Cole, G, Bharath, A A, Varela, M

    “…Abstract Funding Acknowledgements Type of funding sources: None. Introduction The assessment of aortic valve pathology using magnetic resonance imaging (MRI)…”
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    Journal Article
  4. 4

    Framework for large-scale automatic curation of heterogeneous cardiac MRI (ACUR MRI) by Galazis, C, Vimalesvaran, K, Zaman, S, Petri, C, Howard, J, Linton, N, Peters, N, Cole, G, Bharath, AA, Varela, M

    “…Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): UKRI CDT in AI for Healthcare…”
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    Journal Article
  5. 5

    Automatic Aortic Valve Pathology Detection from 3-Chamber Cine MRI with Spatio-Temporal Attention Maps by On, Y, Vimalesvaran, K, Galazis, C, Zaman, S, Howard, J, Linton, N, Peters, N, Cole, G, Bharath, A. A, Varela, M

    Published 12-04-2023
    “…The assessment of aortic valve pathology using magnetic resonance imaging (MRI) typically relies on blood velocity estimates acquired using phase contrast (PC)…”
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    Journal Article