Works matching AU Parekh, Tejas

Results: 9
    1

    Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images.

    Published in:
    European Journal of Nuclear Medicine & Molecular Imaging, 2023, v. 50, n. 2, p. 387, doi. 10.1007/s00259-022-05972-w
    By:
    • Miller, Robert J. H.;
    • Singh, Ananya;
    • Otaki, Yuka;
    • Tamarappoo, Balaji K.;
    • Kavanagh, Paul;
    • Parekh, Tejas;
    • Hu, Lien-Hsin;
    • Gransar, Heidi;
    • Sharir, Tali;
    • Einstein, Andrew J.;
    • Fish, Mathews B.;
    • Ruddy, Terrence D.;
    • Kaufmann, Philipp A.;
    • Sinusas, Albert J.;
    • Miller, Edward J.;
    • Bateman, Timothy M.;
    • Dorbala, Sharmila;
    • Di Carli, Marcelo F.;
    • Liang, Joanna X.;
    • Dey, Damini
    Publication type:
    Article
    2

    Improved myocardial blood flow estimation with residual activity correction and motion correction in <sup>18</sup>F-flurpiridaz PET myocardial perfusion imaging.

    Published in:
    European Journal of Nuclear Medicine & Molecular Imaging, 2022, v. 49, n. 6, p. 1881, doi. 10.1007/s00259-021-05643-2
    By:
    • Otaki, Yuka;
    • Van Kriekinge, Serge D.;
    • Wei, Chih-Chun;
    • Kavanagh, Paul;
    • Singh, Ananya;
    • Parekh, Tejas;
    • Di Carli, Marcelo;
    • Maddahi, Jamshid;
    • Sitek, Arkadiusz;
    • Buckley, Christopher;
    • Berman, Daniel S.;
    • Slomka, Piotr J.
    Publication type:
    Article
    3

    Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion Imaging.

    Published in:
    Journal of Nuclear Medicine, 2022, v. 63, n. 11, p. 1768, doi. 10.2967/jnumed.121.263686
    By:
    • Miller, Robert J. H.;
    • Kuronuma, Keiichiro;
    • Singh, Ananya;
    • Yuka Otaki;
    • Hayes, Sean;
    • Chareonthaitawee, Panithaya;
    • Kavanagh, Paul;
    • Parekh, Tejas;
    • Tamarappoo, Balaji K.;
    • Sharir, Tali;
    • Einstein, Andrew J.;
    • Fish, Mathews B.;
    • Ruddy, Terrence D.;
    • Kaufmann, Philipp A.;
    • Sinusas, Albert J.;
    • Miller, Edward J.;
    • Bateman, Timothy M.;
    • Dorbala, Sharmila;
    • Di Carli, Marcelo;
    • Cadet, Sebastien
    Publication type:
    Article
    4

    Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion Imaging.

    Published in:
    Journal of Nuclear Medicine, 2022, v. 63, n. 10, p. 1, doi. 10.2967/jnumed.121.263686
    By:
    • Miller, Robert J. H.;
    • Kuronuma, Keiichiro;
    • Singh, Ananya;
    • Otaki, Yuka;
    • Hayes, Sean;
    • Chareonthaitawee, Panithaya;
    • Kavanagh, Paul;
    • Parekh, Tejas;
    • Tamarappoo, Balaji K.;
    • Sharir, Tali;
    • Einstein, Andrew J.;
    • Fish, Mathews B.;
    • Ruddy, Terrence D.;
    • Kaufmann, Philipp A.;
    • Sinusas, Albert J.;
    • Miller, Edward J.;
    • Bateman, Timothy M.;
    • Dorbala, Sharmila;
    • Di Carli, Marcelo;
    • Cadet, Sebastien
    Publication type:
    Article
    5

    Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion Imaging.

    Published in:
    Journal of Nuclear Medicine, 2022, v. 63, n. 9, p. 1, doi. 10.2967/jnumed.121.263686
    By:
    • Miller, Robert JH;
    • Kuronuma, Keiichiro;
    • Singh, Ananya;
    • Otaki, Yuka;
    • Hayes, Sean;
    • Chareonthaitawee, Panithaya;
    • Kavanagh, Paul;
    • Parekh, Tejas;
    • Tamarappoo, Balaji K.;
    • Sharir, Tali;
    • Einstein, Andrew J.;
    • Fish, Mathews B.;
    • MD;
    • Ruddy, Terrence D.;
    • Kaufmann, Philipp A.;
    • Sinusas, Albert J.;
    • Miller, Edward J.;
    • Bateman, Timothy M.;
    • Dorbala, Sharmila;
    • Carli, Marcelo Di
    Publication type:
    Article
    6

    Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion Imaging.

    Published in:
    Journal of Nuclear Medicine, 2022, v. 63, n. 7, p. 1, doi. 10.2967/jnumed.121.263686
    By:
    • Miller, Robert J. H.;
    • Kuronuma, Keiichiro;
    • Singh, Ananya;
    • Otaki, Yuka;
    • Hayes, Sean;
    • Chareonthaitawee, Panithaya;
    • Kavanagh, Paul;
    • Parekh, Tejas;
    • Tamarappoo, Balaji K.;
    • Sharir, Tali;
    • Einstein, Andrew J.;
    • Fish, Mathews B.;
    • Ruddy, Terrence D.;
    • Kaufmann, Philipp A.;
    • Sinusas, Albert J.;
    • Miller, Edward J.;
    • Bateman, Timothy M.;
    • Dorbala, Sharmila;
    • Carli, Marcelo Di;
    • Cadet, Sebastien
    Publication type:
    Article
    7

    Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion Imaging.

    Published in:
    Journal of Nuclear Medicine, 2022, v. 63, n. 6, p. 1, doi. 10.2967/jnumed.121.263686
    By:
    • Miller, Robert J. H.;
    • Kuronuma, Keiichiro;
    • Singh, Ananya;
    • Yuka Otaki;
    • Hayes, Sean;
    • Chareonthaitawee, Panithaya;
    • Kavanagh, Paul;
    • Parekh, Tejas;
    • Tamarappoo, Balaji K.;
    • Sharir, Tali;
    • Einstein, Andrew J.;
    • Fish, Mathews B.;
    • Ruddy, Terrence D.;
    • Kaufmann, Philipp A.;
    • Sinusas, Albert J.;
    • Miller, Edward J.;
    • Bateman, Timothy M.;
    • Dorbala, Sharmila;
    • Di Carli, Marcelo;
    • Cadet, Sebastien
    Publication type:
    Article
    8

    Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registry.

    Published in:
    Cardiovascular Research, 2022, v. 118, n. 9, p. 2152, doi. 10.1093/cvr/cvab236
    By:
    • Rios, Richard;
    • Miller, Robert J H;
    • Hu, Lien Hsin;
    • Otaki, Yuka;
    • Singh, Ananya;
    • Diniz, Marcio;
    • Sharir, Tali;
    • Einstein, Andrew J;
    • Fish, Mathews B;
    • Ruddy, Terrence D;
    • Kaufmann, Philipp A;
    • Sinusas, Albert J;
    • Miller, Edward J;
    • Bateman, Timothy M;
    • Dorbala, Sharmila;
    • DiCarli, Marcelo;
    • Kriekinge, Serge Van;
    • Kavanagh, Paul;
    • Parekh, Tejas;
    • Liang, Joanna X
    Publication type:
    Article
    9