Weichenthal, Michael

Identification of 15 new psoriasis susceptibility loci highlights the role of innate immunity

Collaborative Association Study of Psoriasis (CASP), Tsoi, L. C., Genetic Analysis of Psoriasis Consortium, Psoriasis Association Genetics Extension, Wellcome Trust Case Control Consortium 2, Spain, S. L., Knight, J., Ellinghaus, E., Stuart, P. E., Capon, F., et al. (2012) · Nature Genetics

Psoriasis: Treatment and PathogenesisGenetic Associations and Epidemiology

Cited by 1,024

Analysis of five chronic inflammatory diseases identifies 27 new associations and highlights disease-specific patterns at shared loci

The International IBD Genetics Consortium (IIBDGC), Ellinghaus, D., International Genetics of Ankylosing Spondylitis Consortium (IGAS), International PSC Study Group (IPSCSG), Genetic Analysis of Psoriasis Consortium (GAPC), Psoriasis Association Genetics Extension (PAGE), Jostins, L., Spain, S. L., Cortes, A., Bethune, J., et al. (2016) · Nature Genetics

Genetic Associations and EpidemiologyInflammatory Bowel Disease

Cited by 751

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

Deep neural networks are superior to dermatologists in melanoma image classification

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

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 415

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

Enhanced meta-analysis and replication studies identify five new psoriasis susceptibility loci

Tsoi, L. C., Spain, S. L., Ellinghaus, E., Stuart, P. E., Capon, F., Knight, J., Tejasvi, T., Kang, H. M., Allen, M. H., Lambert, S., et al. (2015) · Nature Communications

Psoriasis: Treatment and PathogenesisGenetic Associations and Epidemiology

Cited by 195

Genome-wide Comparative Analysis of Atopic Dermatitis and Psoriasis Gives Insight into Opposing Genetic Mechanisms

Baurecht, H., Hotze, M., Brand, S., Büning, C., Cormican, P., Corvin, A., Ellinghaus, D., Ellinghaus, E., Esparza-Gordillo, J., Fölster-Holst, R., et al. (2015) · The American Journal of Human Genetics

Dermatology and Skin DiseasesPsoriasis: Treatment and Pathogenesis

Cited by 193

Gene expression in skin and lymphoblastoid cells: refined statistical method reveals extensive overlap in cis-eQTL signals

Ding, J., Gudjonsson, J. E., Liang, L., Stuart, P. E., Li, Y., Chen, W., Weichenthal, M., Ellinghaus, E., Franke, A., Cookson, W., et al. (2010) · The American Journal of Human Genetics

Genetic Associations and EpidemiologyPsoriasis: Treatment and Pathogenesis

Cited by 180

Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark

Brinker, T. J., Hekler, A., Hauschild, A., Berking, C., Schilling, B., Enk, A. H., Haferkamp, S., Karoglan, A., von Kalle, C., Weichenthal, M., et al. (2019) · European Journal of Cancer

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 157

S2k Guidelines for Cutaneous Basal Cell Carcinoma – Part 1: Epidemiology, Genetics and Diagnosis

Lang, B. M., Balermpas, P., Bauer, A., Blum, A., Brölsch, G. F., Dirschka, T., Follmann, M., Frank, J., Frerich, B., Fritz, K., et al. (2019) · JDDG: Journal der Deutschen Dermatologischen Gesellschaft

Nonmelanoma Skin Cancer StudiesCancer and Skin Lesions

Cited by 68