
Department of Dermatology
Position: Associate Professor
ORCID: 0000-0003-0391-7810
Keywords
Diagnostic Imaging; Early Detection of Cancer; Image Interpretation, Computer-Assisted; Neural Networks (Computer)
Selected publications
- Talavera‐Martinez, L. and Tschandl, P. (2023) ‘Automated dermatoscopic pattern discovery by clustering neural network output for human–computer interaction’, Journal of the European Academy of Dermatology and Venereology, 37(11). Available at: https://doi.org/10.1111/jdv.19234.
- 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: https://doi.org/10.5826/dpc.1203a126.
- 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: https://doi.org/10.5826/dpc.1203a117.
- Tschandl, P. et al. (2020) ‘Human–computer collaboration for skin cancer recognition’, Nature Medicine, 26(8), pp. 1229–1234. Available at: https://doi.org/10.1038/s41591-020-0942-0.
- Tschandl, P., Rosendahl, C. and Kittler, H. (2018) ‘The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions’, Scientific Data, 5(1). Available at: https://doi.org/10.1038/sdata.2018.161.