Radiological Society of North America, Inc.

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People

  1. Kim
    Kim
  2. Eskreis-Winkler
    Eskreis-Winkler
  3. Garcia Aguilar
    Garcia Aguilar
  4. Gollub
    Gollub
  5. Shia
    Shia
  6. Amir
    Amir
  7. Capanu
    Capanu
  8. Das
    Das
  9. Do
    Do
  10. El Homsi
    El Homsi

Groups

  1. Body Imaging Service (15)
  2. Radiology, Department of (15)
  3. Sloan Kettering Institute Postdocs (8)
  4. Epidemiology and Biostatistics (4)
  5. Graduate Medical Education (4)
  6. Surgery (4)
  7. Biostatistics Service (3)
  8. Breast Imaging Service (3)
  9. Colorectal Surgery (3)
  10. Department of Pathology and Laboratory Medicine (3)
Search Within
  1. "Body Imaging Service"
Formats
  1. Journal Article (9)
  2. Editorial (3)
  3. Review (3)
Groups
  1. Body Imaging Service (15)
  2. Radiology, Department of (15)
  3. Sloan Kettering Institute Postdocs (8)
  4. Epidemiology and Biostatistics (4)
  5. Graduate Medical Education (4)
  6. Surgery (4)

More Groups

People
  1. Katja Pinker-Domenig (4)
  2. Roberto Lo Gullo (4)
  3. Tae Hyung Kim (3)
  4. Elizabeth Morris (2)
  5. Isaac Daimiel Naranjo (2)
  6. Jinru Shia (2)

More People

Years
  1. 2025 (2)
  2. 2024 (6)
  3. 2023 (4)
  4. 2022 (2)
  5. 2020 (1)
Publications
  1. Radiology: Imaging Cancer (9)
  2. Radiology (4)
  3. RadioGraphics (1)
  4. Radiology: Artificial Intelligence (1)

Results (15)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Current status of cancer genomics and imaging phenotypes: What radiologists need to know
    Review

    Mendes Serràƒo, E.; Klug, M.; Moloney, B. M.; Jhaveri, A.; Lo Gullo, R.; Pinker, K.; Luker, G.; Haider, M. A.; Shinagare, A. B.; Liu, X.
    Radiology: Imaging Cancer (2023)

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  • MRI evaluation of uterine masses for risk of leiomyosarcoma: A consensus statement
    Review

    Hindman, N.; Kang, S.; Fournier, L.; Lakhman, Y.; Nougaret, S.; Reinhold, C.; Sadowski, E.; Huang, J. Q.; Ascher, S.
    Radiology (2023)

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  • Standardized reporting of oncologic response: Making every report count
    Editorial

    Do, R. K. G.; Lefkowitz, R. A.; Hatzoglou, V.; Ma, W.; Juluru, K.; Mayerhoefer, M.
    Radiology: Imaging Cancer (2022)

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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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  • High-spatial-resolution multishot multiplexed sensitivity-encoding diffusion-weighted imaging for improved quality of breast images and differentiation of breast lesions: A feasibility study
    Journal Article

    Daimiel Naranjo, I.; Lo Gullo, R.; Morris, E. A.; Larowin, T.; Fung, M. M.; Guidon, A.; Pinker, K.; Thakur, S. B.
    Radiology: Imaging Cancer (2020)

    Fulltext@MSK | Save