Kittler, Harald

The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

Tschandl, P., Rosendahl, C., & Kittler, H. (2018) · Scientific Data

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 3,628

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

Diagnostic accuracy of dermoscopy

Kittler, H., Pehamberger, H., Wolff, K., & Binder, M. (2002) · The Lancet Oncology

Cutaneous Melanoma Detection and Managementmelanin and skin pigmentation

Cited by 1,349

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

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

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

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

Accuracy of dermatoscopy for the diagnosis of nonpigmented cancers of the skin

Sinz, C., Tschandl, P., Rosendahl, C., Akay, B. N., Argenziano, G., Blum, A., Braun, R. P., Cabo, H., Gourhant, J.-Y., Kreusch, J., et al. (2017) · Journal of the American Academy of Dermatology

Cutaneous Melanoma Detection and ManagementNonmelanoma Skin Cancer Studies

Cited by 127

Accuracy of Computer-Aided Diagnosis of Melanoma: A Meta-analysis

Dick, V., Sinz, C., Mittlböck, M., Kittler, H., & Tschandl, P. (2019) · JAMA Dermatology

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 125

A Multimodal Vision Foundation Model for Clinical Dermatology

Yan, S., Yu, Z., Primiero, C., Vico-Alonso, C., Wang, Z., Yang, L., Tschandl, P., Hu, M., Ju, L., Tan, G., et al. (2025) · Nature Medicine

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 117

Mobile teledermatology: a feasibility study of 58 subjects using mobile phones

Ebner, C., Wurm, E. M., Binder, B., Kittler, H., Lozzi, G. P., Massone, C., Gabler, G., Hofmann-Wellenhof, R., & Soyer, H. P. (2008) · Journal of Telemedicine and Telecare

Telemedicine and Telehealth ImplementationCutaneous Melanoma Detection and Management

Cited by 101

Proposed Technical Guidelines for the Acquisition of Clinical Images of Skin-Related Conditions

Finnane, A., Curiel-Lewandrowski, C., Wimberley, G., Caffery, L., Katragadda, C., Halpern, A., Marghoob, A. A., Malvehy, J., Kittler, H., Hofmann-Wellenhof, R., et al. (2017) · JAMA Dermatology

Digital Imaging in MedicineCutaneous Melanoma Detection and Management

Cited by 89

Technique Standards for Skin Lesion Imaging: A Delphi Consensus Statement

Katragadda, C., Finnane, A., Soyer, H. P., Marghoob, A. A., Halpern, A., Malvehy, J., Kittler, H., Hofmann-Wellenhof, R., Da Silva, D., Abraham, I., et al. (2017) · JAMA Dermatology

Cutaneous Melanoma Detection and ManagementDigital Imaging in Medicine

Cited by 57

Impact of the COVID-19 Pandemic on Dermatology Practice Worldwide: Results of a Survey Promoted by the International Dermoscopy Society (IDS)

Conforti, C., Lallas, A., Argenziano, G., Dianzani, C., Di Meo, N., Giuffrida, R., Kittler, H., Malvehy, J., Marghoob, A. A., Soyer, H. P., et al. (2021) · Dermatology Practical & Conceptual

Dermatological and COVID-19 studiesCOVID-19 and healthcare impacts

Cited by 33

Early Recognition at Last

Kittler, H. (2008) · Archives of Dermatology

Medicine and Dermatology Studies HistoryDermatology and Skin Diseases

Cited by 20

Derm1M: A Million-scale Vision-Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology

Yan, S., Hu, M., Jiang, Y., Li, X., Fei, H., Tschandl, P., Kittler, H., & Ge, Z. (2025) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 13