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Veronica Miriam Rotemberg

  1. "Population Sciences Research Program"
Formats
  1. Journal Article (21)
  2. Research Letter (6)
  3. Correspondence (3)
  4. Meeting Abstract (3)
  5. Editorial (2)
  6. Review (2)
  7. Conference Paper (1)
  8. Guidelines (1)
Groups
  1. Department of Medicine (39)
  2. Dermatology (39)
  3. Dermatology Service (39)
  4. Division of Subspecialty Medicine (39)
  5. Melanoma Disease Management Team (39)
  6. Population Sciences Research Program (39)

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People
  1. Allan Halpern (32)
  2. Nicholas Kurtansky (15)
  3. Michael Marchetti (14)
  4. Stephen Dusza (12)
  5. Ashfaq Marghoob (10)
  6. Jochen Weber (10)

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Years
  1. 2025 (1)
  2. 2024 (7)
  3. 2023 (11)
  4. 2022 (12)
  5. 2021 (3)
  6. 2020 (1)

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Publications
  1. Journal of Investigative Dermatology (5)
  2. Journal of the European Academy of Dermatology and Venereology (5)
  3. Journal of the American Academy of Dermatology (3)
  4. Scientific Data (3)
  5. Skin Research and Technology (3)
  6. British Journal of Dermatology (2)

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Publishers
  1. Wiley Blackwell (8)
  2. Nature Publishing Group (6)
  3. Elsevier Science, Inc. (5)
  4. Mosby Elsevier (3)
  5. Springer (3)
  6. American Medical Association (2)

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Results (39)

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  • Checklist for evaluation of image-based artificial intelligence reports in dermatology: CLEAR Derm consensus guidelines from the International Skin Imaging Collaboration Artificial Intelligence Working Group
    Guidelines

    Daneshjou, R.; Barata, C.; Betz-Stablein, B.; Celebi, M. E.; Codella, N.; Combalia, M.; Guitera, P.; Gutman, D.; Halpern, A.; Helba, B.; more...
    JAMA Dermatology (2022)

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  • DICOM in dermoscopic research: An experience report and a way forward
    Editorial

    Caffery, L.; Weber, J.; Kurtansky, N.; Clunie, D.; Langer, S.; Shih, G.; Halpern, A.; Rotemberg, V.
    Journal of Digital Imaging (2021)

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  • Interactive skin self-examination digital platforms for the prevention of skin cancer: A narrative literature review
    Research Letter

    Sar-Graycar, L.; Rotemberg, V. M.; Matsoukas, K.; Halpern, A. C.; Marchetti, M. A.; Hay, J. L.
    Journal of the American Academy of Dermatology (2021)

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  • A patient-centric dataset of images and metadata for identifying melanomas using clinical context
    Journal Article

    Rotemberg, V.; Kurtansky, N.; Betz-Stablein, B.; Caffery, L.; Chousakos, E.; Codella, N.; Combalia, M.; Dusza, S.; Guitera, P.; Gutman, D.; more...
    Scientific Data (2021)

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  • Novel alterations in CSF1R, RET, and other diverse kinases in the histiocytoses with biochemical and structural insights into their mechanisms of activation
    Meeting Abstract

    Durham, B.; Lopez-Rodrigo, E.; Picarsic, J.; Abramson, D.; Rotemberg, V.; De Munck, S.; Pannecoucke, E.; Lu, S.; Pastore, A.; Mandelker, D.; more...
    Pediatric Blood and Cancer (2020)

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  • Activating mutations in CSF1R and additional receptor tyrosine kinases in histiocytic neoplasms
    Journal Article

    Durham, B. H.; Lopez Rodrigo, E.; Picarsic, J.; Abramson, D.; Rotemberg, V.; De Munck, S.; Pannecoucke, E.; Lu, S. X.; Pastore, A.; Yoshimi, A.; more...
    Nature Medicine (2019)

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  • Artificial intelligence in skin cancer
    Review

    Reiter, O.; Rotemberg, V.; Kose, K.; Halpern, A. C.
    Current Dermatology Reports (2019)

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  • Towards ‘interpretable’ artificial intelligence for dermatology
    Editorial

    Rotemberg, V.; Halpern, A.
    British Journal of Dermatology (2019)

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  • The role of public challenges and data sets towards algorithm development, trust, and use in clinical practice
    Review

    Rotemberg, V.; Halpern, A.; Dusza, S.; Codella, N. C. F.
    Seminars in Cutaneous Medicine and Surgery (2019)

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