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  1. Ellák Somfai; Benjámin Baffy; Kristian Fenech; Changlu Guo; Rita Hosszú; Dorina Korózs; Fabrizio Nunnari; Marcell Pólik; Daniel Sonntag; Attila Ulbert; András Lorincz

    Minimizing false negative rate in melanoma detection and providing insight into the causes of classification

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2102.09199, Pages 1-14, arXiv, 2021.

  2. On the Overlap Between Grad-CAM Saliency Maps and Explainable Visual Features in Skin Cancer Images

    In: Andreas Holzinger; Peter Kieseberg; A. Min Tjoa; Edgar Weippl (Hrsg.). Machine Learning and Knowledge Extraction. International IFIP Cross Domain …

  3. Crop It, but Not Too Much: The Effects of Masking on the Classification of Melanoma Images

    In: Stefan Edelkamp; Ralf Möller; Elmar Rueckert (Hrsg.). KI 2021: Advances in Artificial Intelligence. German Conference on Artificial Intelligence …

  4. The effects of masking in melanoma image classification with CNNs towards international standards for image preprocessing

    In: 2020 EAI International Symposium on Medical Artificial Intelligence. EAI International Symposium on Medical Artificial Intelligence (MedAI-2020), …

  5. A. Heimann-Steinert; A. Latendorf; Alexander Prange; Daniel Sonntag; U. Müller-Werdan

    Digital pen technology for conducting cognitive assessments: a cross-over study with older adults

    In: Psychological Research, Vol. 85, Pages 1-9, Springer, 2020.