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Bernhard Kainz

ThinkSono, Imperial College London and King's College London

London

United Kingdom

Imperial College London - Department of Computing

180 Queen's Gate

London, SW7 2AZ

United Kingdom

Friedrich-Alexander Erlangen-Nürnberg

  • ThinkSono, Imperial College London and King's College London

  • Imperial College London - Department of Computing

  • Friedrich-Alexander Erlangen-Nürnberg

SCHOLARLY PAPERS

2

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156

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Scholarly Papers (2)

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1.

Remote Expert Review Can Significantly Improve Deep Vein Thrombosis Clinical Pathway with AI-Guided Ultrasound Acquisition

Number of pages: 25 Posted: 05 Jul 2024
Giancarlo Speranza, Sven Mischkewitz, Fouad Al-Noor and Bernhard Kainz
New York University (NYU) - NYU Langone Health, ThinkSono - ThinkSono GmbH, ThinkSono, King's College London and ThinkSono, Imperial College London and King's College London
Downloads 82 (790,029)

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artificial intelligence, point of care ultrasound, deep vein thrombosis, venous thromboembolism, compression ultrasound

2.

Non-Invasive Diagnosis of Deep Vein Thrombosis From Ultrasound With Machine Learning

Number of pages: 56 Posted: 12 Jan 2021
Bernhard Kainz, Antonios Makropoulos, Jonas Oppenheimer, Christopher Deane, Sven Mischkewitz, Fouad Al-Noor, Andrew C. Rawdin, Matthew D. Stevenson, Mattias P. Heinrich‬ and Nicola Curry
ThinkSono, Imperial College London and King's College London, ThinkSono, King's College London, ThinkSono GmbH, Oxford Haemophilia and Thrombosis Centre, ThinkSono - ThinkSono GmbH, ThinkSono, King's College London, University of Sheffield - School of Health and Related Research, University of Sheffield - School of Health and Related Research, University of Lübeck - Institute of Medical Informatics and Oxford Haemophilia and Thrombosis Centre
Downloads 74 (844,901)

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