Rotemberg, Veronica
United States Department of Health and Human Services · National Institutes of Health · United States Food and Drug Administration · University of Crete · University of California, San Francisco · University of Ulsan · University Hospital of Heraklion · New York University · University of Pennsylvania · The University of Texas Southwestern Medical Center · Stanford University
9 papers on CoChatORCID 0000-0003-0639-2677
Most cited papers
- Verified
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
Codella, N., Rotemberg, V., Tschandl, P., Celebi, M. E., Dusza, S., Gutman, D., Helba, B., Kalloo, A., Liopyris, K., Marchetti, M., et al. (2019) · arXiv
Cutaneous Melanoma Detection and ManagementAI in cancer detection
Cited by 984
- Verified
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update
Tejani, A. S., Klontzas, M. E., Gatti, A. A., Mongan, J. T., Moy, L., Park, S. H., Kahn, C. E., Panel, F. T. C. 2. U., Abbara, S., Afat, S., et al. (2024) · Radiology: Artificial Intelligence
Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging
Cited by 570
- Verified
Disparities in dermatology AI performance on a diverse, curated clinical image set
Daneshjou, R., Vodrahalli, K., Novoa, R. A., Jenkins, M., Liang, W., Rotemberg, V., Ko, J., Swetter, S. M., Bailey, E. E., Gevaert, O., et al. (2022) · Science Advances
Cutaneous Melanoma Detection and ManagementArtificial Intelligence in Healthcare and Education
Cited by 544
- Verified
Large language models propagate race-based medicine
Omiye, J. A., Lester, J. C., Spichak, S., Rotemberg, V., & Daneshjou, R. (2023) · npj Digital Medicine
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 417
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Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms: A Scoping Review
Daneshjou, R., Smith, M. P., Sun, M. D., Rotemberg, V., & Zou, J. (2021) · JAMA Dermatology
Artificial Intelligence in Healthcare and EducationCutaneous Melanoma Detection and Management
Cited by 403
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Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts
Haggenmüller, S., Maron, R. C., Hekler, A., Utikal, J. S., Barata, C., Barnhill, R. L., Beltraminelli, H., Berking, C., Betz-Stablein, B., Blum, A., et al. (2021) · European Journal of Cancer
Cutaneous Melanoma Detection and ManagementAI in cancer detection
Cited by 267
- Verified
Current State of Dermatology Mobile Applications With Artificial Intelligence Features
Wongvibulsin, S., Yan, M. J., Pahalyants, V., Murphy, W., Daneshjou, R., & Rotemberg, V. (2024) · JAMA Dermatology
Artificial Intelligence in Healthcare and EducationCutaneous Melanoma Detection and Management
Cited by 69
- Verified
An Epidemiologic Analysis of Melanoma Overdiagnosis in the United States, 1975–2017
Kurtansky, N. R., Dusza, S. W., Halpern, A. C., Hartman, R. I., Geller, A. C., Marghoob, A. A., Rotemberg, V. M., & Marchetti, M. A. (2022) · Journal of Investigative Dermatology
Cutaneous Melanoma Detection and ManagementGlobal Cancer Incidence and Screening
Cited by 65
- Verified
Supporting Virtual Dermatology Consultation in the Setting of COVID-19
Kutner, A., Love, D., Markova, A., Rossi, A., Lee, E., Nehal, K., Lacouture, M., & Rotemberg, V. (2021) · Journal of Digital Imaging
Telemedicine and Telehealth ImplementationDigital Imaging in Medicine
Cited by 11
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