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European Journal of Cancer (Oxford, England : 1990)|April 14, 2019
Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification taskTitus J Brinker, Achim Hekler, Alexander H Enk, et al.
Molecular Oncology|May 29, 2024
Loss of p14 diminishes immunogenicity in melanoma via non-canonical Wnt signaling by reducing the peptide surface densityJonas Wohlfarth, Corinna Kosnopfel, Dominic Faber, et al.
Cancers|May 14, 2022
Blood Eosinophils Are Associated with Efficacy of Targeted Therapy in Patients with Advanced MelanomaSimone Wendlinger, Jonas Wohlfarth, Sophia Kreft, et al.
European Journal of Cancer (Oxford, England : 1990)|August 12, 2019
Prediction of melanoma evolution in melanocytic nevi via artificial intelligence: A call for prospective dataWiebke Sondermann, Jochen Sven Utikal, Alexander H Enk, et al.
Journal of Experimental & Clinical Cancer Research : CR|July 18, 2023
Inhibition of p90 ribosomal S6 kinases disrupts melanoma cell growth and immune evasionCorinna Kosnopfel, Simone Wendlinger, Heike Niessner, et al.
Investigative Ophthalmology & Visual Science|September 9, 2015
Frequent TERT Promoter Mutations in Ocular Surface Squamous NeoplasiaSimone L Scholz, Henning Thomasen, Henning Reis, et al.
European Journal of Cancer (Oxford, England : 1990)|August 12, 2019
Deep neural networks are superior to dermatologists in melanoma image classificationTitus J Brinker, Achim Hekler, Alexander H Enk, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|July 27, 2013
Genetic and clinico-pathologic analysis of metastatic uveal melanomaKlaus G Griewank, Johannes van de Nes, Bastian Schilling, et al.
European Journal of Cancer (Oxford, England : 1990)|February 27, 2016
Oncogene status as a diagnostic tool in ocular and cutaneous melanomaKlaus G Griewank, Bastian Schilling, Simone L Scholz, et al.
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