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Natsuko Yamashita

Formats
  1. Journal Article (9)
Groups
  1. Body Imaging Service (8)
  2. Breast Imaging Service (8)
  3. Radiology, Department of (8)
  4. Sloan Kettering Institute Postdocs (8)
  5. Medical Physics (4)
  6. Radiochemistry and Imaging Sciences Service (4)

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People
  1. Elizabeth Morris (8)
  2. Elizabeth Sutton (8)
  3. Danny Martinez (6)
  4. Meredith Sadinski (5)
  5. Katja Pinker-Domenig (4)
  6. Mary Hughes (4)

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Years
  1. 2022 (1)
  2. 2021 (2)
  3. 2020 (4)
  4. 2019 (1)
  5. 2018 (1)
Publications
  1. Breast Cancer Research (2)
  2. European Radiology (2)
  3. Journal of Magnetic Resonance Imaging (2)
  4. Journal of Breast Imaging (1)
  5. Radiology: Artificial Intelligence (1)
  6. Scientific Reports (1)
Publishers
  1. Biomed Central Ltd (2)
  2. Springer (2)
  3. Wiley Blackwell (2)
  4. Radiological Society of North America, Inc. (1)
  5. Nature Publishing Group (1)
  6. Oxford University Press (1)

Results (9)

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  • Radiologist-level performance by using deep learning for segmentation of breast cancers on MRI scans
    Journal Article

    Hirsch, L.; Huang, Y.; Luo, S.; Saccarelli, C. R.; Lo Gullo, R.; Naranjo, I. D.; Bitencourt, A. G. V.; Onishi, N.; Ko, E. S.; Leithner, D.; more...
    Radiology: Artificial Intelligence (2022)

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  • Using deep learning to improve nonsystematic viewing of breast cancer on MRI
    Journal Article

    Eskreis-Winkler, S.; Onishi, N.; Pinker, K.; Reiner, J. S.; Kaplan, J.; Morris, E. A.; Sutton, E. J.
    Journal of Breast Imaging (2021)

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  • Can follow-up be avoided for probably benign US masses with no enhancement on MRI?
    Journal Article

    Avendano, D.; Marino, M. A.; Onishi, N.; Leithner, D.; Martinez, D. F.; Gibbs, P.; Jochelson, M.; Pinker, K.; Morris, E. A.; Sutton, E. J.
    European Radiology (2021)

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  • Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer
    Journal Article

    Onishi, N.; Sadinski, M.; Hughes, M. C.; Ko, E. S.; Gibbs, P.; Gallagher, K. M.; Fung, M. M.; Hunt, T. J.; Martinez, D. F.; Shukla-Dave, A.; more...
    Breast Cancer Research (2020)

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  • A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy
    Journal Article

    Sutton, E. J.; Onishi, N.; Fehr, D. A.; Dashevsky, B. Z.; Sadinski, M.; Pinker, K.; Martinez, D. F.; Brogi, E.; Braunstein, L.; Razavi, P.; more...
    Breast Cancer Research (2020)

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  • Differentiation between subcentimeter carcinomas and benign lesions using kinetic parameters derived from ultrafast dynamic contrast-enhanced breast MRI
    Journal Article

    Onishi, N.; Sadinski, M.; Gibbs, P.; Gallagher, K. M.; Hughes, M. C.; Ko, E. S.; Dashevsky, B. Z.; Shanbhag, D. D.; Fung, M. M.; Hunt, T. M.; more...
    European Radiology (2020)

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  • New parameters of ultrafast dynamic contrast-enhanced breast MRI using compressed sensing
    Journal Article

    Honda, M.; Kataoka, M.; Onishi, N.; Iima, M.; Ohashi, A.; Kanao, S.; Nickel, M. D.; Toi, M.; Togashi, K.
    Journal of Magnetic Resonance Imaging (2020)

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  • Characterization of sub-1 cm breast lesions using radiomics analysis
    Journal Article

    Gibbs, P.; Onishi, N.; Sadinski, M.; Gallagher, K. M.; Hughes, M.; Martinez, D. F.; Morris, E. A.; Sutton, E. J.
    Journal of Magnetic Resonance Imaging (2019)

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  • Appearance constrained semi-automatic segmentation from DCE-MRI is reproducible and feasible for breast cancer radiomics: A feasibility study
    Journal Article

    Veeraraghavan, H.; Dashevsky, B. Z.; Onishi, N.; Sadinski, M.; Morris, E.; Deasy, J. O.; Sutton, E. J.
    Scientific Reports (2018)

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