Radiological Society of North America, Inc.

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People

  1. Eskreis-Winkler
    Eskreis-Winkler
  2. Kim
    Kim
  3. Capanu
    Capanu
  4. Hughes
    Hughes
  5. Martinez
    Martinez
  6. Shia
    Shia
  7. Sutton
    Sutton
  8. Swinburne
    Swinburne
  9. Alexander
    Alexander
  10. Carlo
    Carlo

Groups

  1. Radiology, Department of (19)
  2. Body Imaging Service (11)
  3. Sloan Kettering Institute Postdocs (7)
  4. Breast Imaging Service (4)
  5. Center for Pancreatic Cancer Research (4)
  6. Epidemiology and Biostatistics (4)
  7. Molecular Imaging and Therapy Service (4)
  8. Biostatistics Service (3)
  9. Department of Pathology and Laboratory Medicine (3)
  10. Interventional Radiology Service (3)
Search Within
Formats
  1. Journal Article (13)
  2. Review (5)
  3. Editorial (3)
  4. Miscellaneous (1)
Groups
  1. Radiology, Department of (19)
  2. Body Imaging Service (11)
  3. Sloan Kettering Institute Postdocs (7)
  4. Breast Imaging Service (4)
  5. Center for Pancreatic Cancer Research (4)
  6. Epidemiology and Biostatistics (4)

More Groups

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

More People

Years
  1. 2025 (6)
  2. 2024 (8)
  3. 2023 (3)
  4. 2022 (2)
  5. 2021 (2)
  6. 2020 (1)
Publications
  1. Radiology: Imaging Cancer (10)
  2. Radiology: Artificial Intelligence (9)
  3. Radiology (2)
  4. RadioGraphics (1)

Results (22)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Radiomics beyond the hype: A critical evaluation toward oncologic clinical use
    Review

    Horvat, N.; Papanikolaou, N.; Koh, D. M.
    Radiology: Artificial Intelligence (2024)

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  • AI-enhanced mammography with digital breast tomosynthesis for breast cancer detection: Clinical value and comparison with human performance
    Journal Article

    Resch, D.; Lo Gullo, R.; Teuwen, J.; Semturs, F.; Hummel, J.; Resch, A.; Pinker, K.
    Radiology: Imaging Cancer (2024)

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  • When the student becomes the master: Boosting intracranial hemorrhage detection generalizability with teacher-student learning
    Editorial

    Swinburne, N.
    Radiology: Artificial Intelligence (2024)

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  • 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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  • 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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  • 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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  • 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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  • 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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  • Integrating AI algorithms into the clinical workflow
    Journal Article

    Juluru, K.; Shih, H. H.; Keshava Murthy, K. N.; Elnajjar, P.; El-Rowmeim, A.; Roth, C.; Genereaux, B.; Fox, J.; Siegel, E.; Rubin, D. L.
    Radiology: Artificial Intelligence (2021)

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