1. Rinner C, Kittler H, Rosendahl C, Tschandl P. Analysis of Collective Intelligence for Diagnosis of Pigmented Skin Lesions Harnessed by Via a Web-Based Training Platform: Simulation Reader Study. J Med Internet Res 2020 Jan 24;22(1):e15597.
2. Tschandl P, Codella N, Akay BN, Argenziano G, Braun RP, Cabo H, Gutman Halpern A, Helba B, Hofmann-Wellenhof R, Lallas A, Lapins J, Longo C, Malvehy Marchetti MA, Marghoob A, Menzies S, Oakley A, Paoli J, Puig S, Rinner Rosendahl C, Scope A, Sinz C, Soyer HP, Thomas L, Zalaudek I, Kittler Comparison of the accuracy of human readers versus machine-learning for pigmented skin lesion classification: an open, web-based, diagnostic study. Lancet Oncol. 2019 Jul;20(7):938-947. 
3. Tschandl P, Rosendahl C, Kittler H. The HAM10000 dataset, a large of multi-source dermatoscopic images of common pigmented skin lesions. Sci Data 2018 Aug 14;5:180161.
4. Weinbacher A, Tschandl P, Kittler H, Rinner C. Interoperable Localisation Lesions on the Human Skin. Stud Health Technol Inform. 2018;247:850-854.
5. Dick V, Sinz C, Mittlböck M, Kittler H, Tschandl P. Accuracy of Aided Diagnosis of Melanoma: A Meta-analysis. JAMA Dermatol. 2019 19;e191375.