Automatic Classification of Diabetic Foot Ulcer Images - A Transfer-Learning Approach to Detect Wound Maceration. - Jens Hüsers; Guido Hafer; Jan Heggemann; Stefan Wiemeyer; Mareike Przysucha; Joachim Dissemond; Maurice Moelleken; Cornelia Erfurt-Berge; Ursula Hübner (ICIMTH, 2021)

Automatic Wound Type Classification with Convolutional Neural Networks. - Leila Malihi; Jens Hüsers; Mats L. Richter; Maurice Moelleken; Mareike Przysucha; Dorothee Busch; Jan Heggemann; Guido Hafer; Stefan Wiemeyer; Gunther Heidemann; Joachim Dissemond; Cornelia Erfurt-Berge; et al. (ICIMTH, 2022)

An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcers. - Jens Hüsers; Maurice Moelleken; Mats L. Richter; Mareike Przysucha; Leila Malihi; Dorothee Busch; Nina-Alexandra Götz; Jan Heggemann; Guido Hafer; Stefan Wiemeyer; Birgit Babitsch; Gunther Heidemann; et al. (MIE, 2022)

Design and Implementation of an ETL-Process to Transfer Wound-Related Data into a Standardized Common Data Model. - Mareike Przysucha; Jens Hüsers; Daniil Liberman; Oliver Kersten; Aphrodite Schlüter; Sebastian Fraas; Dorothee Busch; Maurice Moelleken; Cornelia Erfurt-Berge; Joachim Dissemond; Ursula Hübner (GMDS, 2023)

Can Synthetic Images Improve CNN Performance in Wound Image Classification? - Leila Malihi; Ursula Hübner; Mats L. Richter; Maurice Moelleken; Mareike Przysucha; Dorothee Busch; Jan Heggemann; Guido Hafer; Stefan Wiemeyer; Gunther Heidemann; Joachim Dissemond; Cornelia Erfurt-Berge; et al. (MIE, 2023)

Automation Bias in AI-Decision Support: Results from an Empirical Study. - Ursula Hübner; Mareike Przysucha; Niels Hannemann; Jan-Oliver Kutza; Maurice Moelleken; Cornelia Erfurt-Berge; Joachim Dissemond; Birgit Babitsch; Dorothee Busch (GMDS, 2024)