Radiological Society of North America, Inc.

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People

  1. Eskreis-Winkler
    Eskreis-Winkler
  2. Kim
    Kim
  3. Mango
    Mango
  4. Capanu
    Capanu
  5. Garcia Aguilar
    Garcia Aguilar
  6. Gollub
    Gollub
  7. Marinelli
    Marinelli
  8. McCormick
    McCormick
  9. Shia
    Shia
  10. Swinburne
    Swinburne

Groups

  1. Radiology, Department of (24)
  2. Body Imaging Service (16)
  3. Sloan Kettering Institute Postdocs (9)
  4. Breast Imaging Service (6)
  5. Epidemiology and Biostatistics (5)
  6. Graduate Medical Education (5)
  7. Surgery (5)
  8. Biostatistics Service (4)
  9. GME, Radiology (4)
  10. Medical Physics (4)
Search Within
Formats
  1. Journal Article (19)
  2. Review (10)
  3. Editorial (6)
Groups
  1. Radiology, Department of (24)
  2. Body Imaging Service (16)
  3. Sloan Kettering Institute Postdocs (9)
  4. Breast Imaging Service (6)
  5. Epidemiology and Biostatistics (5)
  6. Graduate Medical Education (5)

More Groups

People
  1. Katja Pinker-Domenig (4)
  2. Roberto Lo Gullo (4)
  3. Krishna Juluru (3)
  4. Natally Horvat (3)
  5. Sarah Eskreis-Winkler (3)
  6. Tae Hyung Kim (3)

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Years
  1. 2025 (4)
  2. 2024 (19)
  3. 2023 (5)
  4. 2022 (2)
  5. 2021 (2)
  6. 2020 (1)

More Years

Publications
  1. Radiology (14)
  2. Radiology: Imaging Cancer (10)
  3. Radiology: Artificial Intelligence (8)
  4. RadioGraphics (3)

Results (35)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • The prevalence and radiologic features of renal cancers Associated with FLCN, BAP1, SDH, and MET germline mutations
    Journal Article

    Charbel, C.; Causa Andrieu, P. I.; Soliman, M.; Woo, S.; Zheng, J.; Capanu, M.; Nikolovski, I.; Vargas, H. A.; Abusamra, M.; Carlo, M. I.
    Radiology: Imaging Cancer (2024)

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  • The image biomarker standardization initiative: Standardized convolutional filters for reproducible radiomics and enhanced clinical insights
    Review

    Whybra, P.; Zwanenburg, A.; Andrearczyk, V.; Schaer, R.; Apte, A. P.; Ayotte, A.; Baheti, B.; Bakas, S.; Bettinelli, A.; Boellaard, R.; more...
    Radiology (2024)

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  • LI-RADS CT and MRI ancillary feature association with hepatocellular carcinoma and malignancy: An individual participant data meta-analysis
    Journal Article

    Dawit, H.; Lam, E.; McInnes, M. D. F.; van der Pol, C. B.; Bashir, M. R.; Salameh, J. P.; Levis, B.; Sirlin, C. B.; Chernyak, V.; Choi, S. H.; more...
    Radiology (2024)

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  • Mentorship in radiology research: A guide for mentors and mentees
    Editorial

    Soliman, M. M.; Kim, T. H.; Cheng, M.; McKenney, A. S.; Fassia, M. K.; Lamparello, N. A.; Lee, J. M.; Vargas, H. A.; Woo, S.
    Radiology: Imaging Cancer (2023)

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  • Improving radiology oncologic imaging trainee case diversity through automatic examination assignment: Retrospective study from a tertiary cancer center
    Journal Article

    Becker, A. S.; Das, J. P.; Woo, S.; Perez-Johnston, R.; Vargas, H. A.
    Radiology: Imaging Cancer (2023)

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  • 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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  • The impact of extreme neighborhood socioeconomic deprivation on access to American College of Radiology-accredited advanced imaging facilities
    Journal Article

    Jose, O.; Stoeckl, E. M.; Miles, R. C.; Mango, V. L.; Reid, N. J.; Wagner, A. S. B.; Weissman, I. A.; Flores, E. J.; Morla, A.; Narayan, A. K.
    Radiology (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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