Wehkamp, Ulrike

Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task

Brinker, T. J., Hekler, A., Enk, A. H., Klode, J., Hauschild, A., Berking, C., Schilling, B., Haferkamp, S., Schadendorf, D., Holland-Letz, T., et al. (2019) · European Journal of Cancer

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 605

Atopic Dermatitis Is an IL-13–Dominant Disease with Greater Molecular Heterogeneity Compared to Psoriasis

Tsoi, L. C., Rodriguez, E., Degenhardt, F., Baurecht, H., Wehkamp, U., Volks, N., Szymczak, S., Swindell, W. R., Sarkar, M. K., Raja, K., et al. (2019) · Journal of Investigative Dermatology

Dermatology and Skin DiseasesPsoriasis: Treatment and Pathogenesis

Cited by 469

The PROCLIPI international registry of early- stage mycosis fungoides identifies substantial diagnostic delay in most patients

Scarisbrick, J. J., Quaglino, P., Prince, H. M., Papadavid, E., Hodak, E., Bagot, M., Servitje, O., Berti, E., Ortiz‐Romero, P., Stadler, R., et al. (2019) · British Journal of Dermatology

Cutaneous lymphoproliferative disorders researchLymphoma Diagnosis and Treatment

Cited by 244

Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks.

Maron, R. C., Weichenthal, M., Utikal, J. S., Hekler, A., Berking, C., Hauschild, A., Enk, A. H., Haferkamp, S., Klode, J., Schadendorf, D., et al. (2019) · European Journal of Cancer

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 219

Protein-coding variants contribute to the risk of atopic dermatitis and skin-specific gene expression

Mucha, S., Baurecht, H., Novak, N., Rodríguez, E., Bej, S., Mayr, G., Emmert, H., Stölzl, D., Gerdes, S., Jung, E. S., et al. (2020) · Journal of Allergy and Clinical Immunology

Dermatology and Skin DiseasesGenetic Associations and Epidemiology

Cited by 48