Melanoma 2.0. Skin cancer as a paradigm for emerging diagnostic technologies, computational modelling and artificial intelligence. - Julio Vera; Xin Lai 002; Andreas Baur; Michael Erdmann; Shailendra K. Gupta; Cristiano Guttà; Lucie Heinzerling; Markus V. Heppt; Philipp Maximilian Kazmierczak; Manfred Kunz; Christopher Lischer; Brigitte M. Pützer; et al. (Briefings Bioinform., 2022)

Using Multiple Dermoscopic Photographs of One Lesion Improves Melanoma Classification via Deep Learning: A Prognostic Diagnostic Accuracy Study. - Achim Hekler; Roman C. Maron; Sarah Haggenmüller; Max Schmitt; Christoph Wies; Jochen S. Utikal; Friedegund Meier; Sarah Hobelsberger; Frank Friedrich Gellrich; Mildred Sergon; Axel Hauschild; Lars E. French; et al. (CoRR, 2023)

Clinical Melanoma Diagnosis with Artificial Intelligence: Insights from a Prospective Multicenter Study. - Lukas Heinlein; Roman C. Maron; Achim Hekler; Sarah Haggenmüller; Christoph Wies; Jochen S. Utikal; Friedegund Meier; Sarah Hobelsberger; Frank Friedrich Gellrich; Mildred Sergon; Axel Hauschild; Lars E. French; et al. (CoRR, 2024)

Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study. - Tirtha Chanda; Sarah Haggenmüller; Tabea-Clara Bucher; Tim Holland-Letz; Harald Kittler; Philipp Tschandl; Markus V. Heppt; Carola Berking; Jochen S. Utikal; Bastian Schilling; Claudia Buerger; Cristian Navarrete-Dechent; et al. (CoRR, 2024)