Codella, Noel
Microsoft (United States)
8 papers on CoChatORCID 0000-0001-6735-9067
Most cited papers
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Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC)
Codella, N. C. F., Gutman, D., Celebi, M. E., Helba, B., Marchetti, M. A., Dusza, S. W., Kalloo, A., Liopyris, K., Mishra, N., Kittler, H., et al. (2018) · 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
Cutaneous Melanoma Detection and ManagementAI in cancer detection
Cited by 2,620
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Human-computer collaboration for skin cancer recognition
Tschandl, P., Rinner, C., Apalla, Z., Argenziano, G., Codella, N., Halpern, A., Janda, M., Lallas, A., Longo, C., Malvehy, J., et al. (2020) · Nature Medicine
Cutaneous Melanoma Detection and ManagementArtificial Intelligence in Healthcare and Education
Cited by 1,024
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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
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Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study
Tschandl, P., Codella, N., Akay, B. N., Argenziano, G., Braun, R. P., Cabo, H., Gutman, D., Halpern, A., Helba, B., Hofmann-Wellenhof, R., et al. (2019) · The Lancet Oncology
Cutaneous Melanoma Detection and ManagementAI in cancer detection
Cited by 555
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Florence: A New Foundation Model for Computer Vision
Yuan, L., Chen, D., Chen, Y.-L., Codella, N., Dai, X., Gao, J., Hu, H., Huang, X., Li, B., Li, C., et al. (2021) · arXiv
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 389
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Exploring scalable medical image encoders beyond text supervision
Pérez-García, F., Sharma, H., Bond-Taylor, S., Bouzid, K., Salvatelli, V., Ilse, M., Bannur, S., Castro, D. C., Schwaighofer, A., Lungren, M. P., et al. (2025) · Nature Machine Intelligence
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 115
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Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images
Codella, N. C. F., Lin, C.-C., Halpern, A., Hind, M., Feris, R., & Smith, J. R. (2018) · Lecture Notes in Computer Science
Cutaneous Melanoma Detection and ManagementAI in cancer detection
Cited by 52
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The Illusion of Readiness in Health AI
Gu, Y., Fu, J., Liu, X., Valanarasu, J. M. J., Codella, N. C., Tan, R., Liu, Q., Jin, Y., Zhang, S., Wang, J., et al. (2025) · arXiv
Artificial Intelligence in Healthcare and EducationAdversarial Robustness in Machine Learning
Cited by 1
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