Works matching AU Andriole, Katherine P.


Results: 25
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    Head CT deep learning model is highly accurate for early infarct estimation.

    Published in:
    Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-27496-5
    By:
    • Gauriau, Romane;
    • Bizzo, Bernardo C.;
    • Comeau, Donnella S.;
    • Hillis, James M.;
    • Bridge, Christopher P.;
    • Chin, John K.;
    • Pawar, Jayashri;
    • Pourvaziri, Ali;
    • Sesic, Ivana;
    • Sharaf, Elshaimaa;
    • Cao, Jinjin;
    • Noro, Flavia T. C.;
    • Wiggins, Walter F.;
    • Caton, M. Travis;
    • Kitamura, Felipe;
    • Dreyer, Keith J.;
    • Kalafut, John F.;
    • Andriole, Katherine P.;
    • Pomerantz, Stuart R.;
    • Gonzalez, Ramon G.
    Publication type:
    Article
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    A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey.

    Published in:
    Journal of Digital Imaging, 2024, v. 37, n. 5, p. 2015, doi. 10.1007/s10278-024-01083-0
    By:
    • Vahdati, Sanaz;
    • Khosravi, Bardia;
    • Mahmoudi, Elham;
    • Zhang, Kuan;
    • Rouzrokh, Pouria;
    • Faghani, Shahriar;
    • Moassefi, Mana;
    • Tahmasebi, Aylin;
    • Andriole, Katherine P.;
    • Chang, Peter;
    • Farahani, Keyvan;
    • Flores, Mona G.;
    • Folio, Les;
    • Houshmand, Sina;
    • Giger, Maryellen L.;
    • Gichoya, Judy W.;
    • Erickson, Bradley J.
    Publication type:
    Article
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    ACR–AAPM–SIIM Practice Guideline for Digital Radiography.

    Published in:
    Journal of Digital Imaging, 2013, v. 26, n. 1, p. 26, doi. 10.1007/s10278-012-9523-1
    By:
    • Andriole, Katherine P.;
    • Ruckdeschel, Thomas G.;
    • Flynn, Michael J.;
    • Hangiandreou, Nicholas J.;
    • Jones, Kyle A.;
    • Krupinski, Elizabeth;
    • Seibert, Anthony J.;
    • Shepard, Jeff S.;
    • Walz-Flannigan, Alisa;
    • Mian, Tariq A.;
    • Pollack, Matthew S.
    Publication type:
    Article
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    Evaluating frailty, mortality, and complications associated with metastatic spine tumor surgery using machine learning-derived body composition analysis.

    Published in:
    Journal of Neurosurgery: Spine, 2022, v. 37, n. 2, p. 263, doi. 10.3171/2022.1.SPINE211284
    By:
    • Massaad, Elie;
    • Bridge, Christopher P.;
    • Kiapour, Ali;
    • Fourman, Mitchell S.;
    • Duvall, Julia B.;
    • Connolly, Ian D.;
    • Hadzipasic, Muhamed;
    • Shankar, Ganesh M.;
    • Andriole, Katherine P.;
    • Rosentha, Michael;
    • Schoenfeld, Andrew J.;
    • Bilsky, Mark H.;
    • Shin, John H.
    Publication type:
    Article
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    Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging.

    Published in:
    Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-06021-0
    By:
    • Bridge, Christopher P.;
    • Bizzo, Bernardo C.;
    • Hillis, James M.;
    • Chin, John K.;
    • Comeau, Donnella S.;
    • Gauriau, Romane;
    • Macruz, Fabiola;
    • Pawar, Jayashri;
    • Noro, Flavia T. C.;
    • Sharaf, Elshaimaa;
    • Straus Takahashi, Marcelo;
    • Wright, Bradley;
    • Kalafut, John F.;
    • Andriole, Katherine P.;
    • Pomerantz, Stuart R.;
    • Pedemonte, Stefano;
    • González, R. Gilberto
    Publication type:
    Article
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