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Philipp Tschandl
Ap.Prof. Priv.Doz. Dipl.-Ing. Dr. Philipp Tschandl, PhD

Department of Dermatology
Position: Associate Professor

ORCID: 0000-0003-0391-7810

Further Information


Dermoscopy; Diagnostic Imaging; Early Detection of Cancer; Image Interpretation, Computer-Assisted; Neural Networks (Computer); Nevi and Melanomas

Selected publications

  1. Katsch, F., Rinner, C. and Tschandl, P. (2022) ‘Comparison of convolutional neural network architectures for robustness against common artefacts in dermatoscopic images’, Dermatology Practical & Conceptual, p. e2022126. Available at:
  2. Wesinger, A. et al. (2022) ‘Application of an interactive diagnosis ranking algorithm in a simulated vignette-based environment for general dermatology’, Dermatology Practical & Conceptual, p. e2022117. Available at:
  3. Tschandl, P. et al. (2020) ‘Human–computer collaboration for skin cancer recognition’, Nature Medicine, 26(8), pp. 1229–1234. Available at:
  4. Tschandl, P. et al. (2019) ‘Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study’, The Lancet Oncology, 20(7), pp. 938–947. Available at:
  5. Tschandl, P., Rosendahl, C. & Kittler, H., 2018. The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions. Scientific Data, 5, p.180161. Available at: