Hasil Pencarian - Akshayaa Vaidyanathan

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  1. 1
    Machine Learning to Identify Patients at Risk of Developing New-Onset Atrial Fibrillation after Coronary Artery Bypass

    Machine Learning to Identify Patients at Risk of Developing New-Onset Atrial Fibrillation after Coronary Artery Bypass oleh Orlando Parise, Gianmarco Parise, Akshayaa Vaidyanathan, Mariaelena Occhipinti, Ali Gharaviri, Cecilia Tetta, Elham Bidar, Bart Maesen, Jos G. Maessen, Mark La Meir, Sandro Gelsomino

    Diterbitkan 2023-02-01
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  2. 2
    Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in Multicentric Medical Imaging (C-DistriM)

    Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in Multicentric Medical Imaging (C-DistriM) oleh Fadila Zerka, Visara Urovi, Akshayaa Vaidyanathan, Samir Barakat, Ralph T. H. Leijenaar, Sean Walsh, Hanif Gabrani-Juma, Benjamin Miraglio, Henry C. Woodruff, Michel Dumontier, Philippe Lambin

    Diterbitkan 2020-01-01
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  3. 3
    An externally validated fully automated deep learning algorithm to classify COVID-19 and other pneumonias on chest computed tomography

    An externally validated fully automated deep learning algorithm to classify COVID-19 and other pneumonias on chest computed tomography oleh Akshayaa Vaidyanathan, Julien Guiot, Fadila Zerka, Flore Belmans, Ingrid Van Peufflik, Louis Deprez, Denis Danthine, Gregory Canivet, Philippe Lambin, Sean Walsh, Mariaelena Occhipinti, Paul Meunier, Wim Vos, Pierre Lovinfosse, Ralph T.H. Leijenaar

    Diterbitkan 2022-05-01
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  4. 4
    External validation of a radiomic signature to predict p16 (HPV) status from standard CT images of anal cancer patients

    External validation of a radiomic signature to predict p16 (HPV) status from standard CT images of anal cancer patients oleh Ralph T. H. Leijenaar, Sean Walsh, Akshayaa Vaidyanathan, Lorenzo Aliboni, Victoria Lopez Sanchez, Michelle Leech, Ronan Joyce, Charles Gillham, Frédéric Kridelka, Roland Hustinx, Denis Danthine, Mariaelena Occhipinti, Wim Vos, Julien Guiot, Philippe Lambin, Pierre Lovinfosse

    Diterbitkan 2023-05-01
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  5. 5
    Deep learning based identification of bone scintigraphies containing metastatic bone disease foci

    Deep learning based identification of bone scintigraphies containing metastatic bone disease foci oleh Abdalla Ibrahim, Akshayaa Vaidyanathan, Sergey Primakov, Flore Belmans, Fabio Bottari, Turkey Refaee, Pierre Lovinfosse, Alexandre Jadoul, Celine Derwael, Fabian Hertel, Henry C. Woodruff, Helle D. Zacho, Sean Walsh, Wim Vos, Mariaelena Occhipinti, François-Xavier Hanin, Philippe Lambin, Felix M. Mottaghy, Roland Hustinx

    Diterbitkan 2023-01-01
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  6. 6
    Development and Validation of an Automated Radiomic CT Signature for Detecting COVID-19

    Development and Validation of an Automated Radiomic CT Signature for Detecting COVID-19 oleh Julien Guiot, Akshayaa Vaidyanathan, Louis Deprez, Fadila Zerka, Denis Danthine, Anne-Noëlle Frix, Marie Thys, Monique Henket, Gregory Canivet, Stephane Mathieu, Evanthia Eftaxia, Philippe Lambin, Nathan Tsoutzidis, Benjamin Miraglio, Sean Walsh, Michel Moutschen, Renaud Louis, Paul Meunier, Wim Vos, Ralph T. H. Leijenaar, Pierre Lovinfosse

    Diterbitkan 2020-12-01
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  7. 7
    Deep learning for the fully automated segmentation of the inner ear on MRI

    Deep learning for the fully automated segmentation of the inner ear on MRI oleh Akshayaa Vaidyanathan, Marly F. J. A. van der Lubbe, Ralph T. H. Leijenaar, Marc van Hoof, Fadila Zerka, Benjamin Miraglio, Sergey Primakov, Alida A. Postma, Tjasse D. Bruintjes, Monique A. L. Bilderbeek, Hammer Sebastiaan, Patrick F. M. Dammeijer, Vincent van Rompaey, Henry C. Woodruff, Wim Vos, Seán Walsh, Raymond van de Berg, Philippe Lambin

    Diterbitkan 2021-02-01
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