Cornelia Erfurt-Berge

According to our database, Cornelia Erfurt-Berge authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Automatic Classification of Wound Images Showing Healing Complications: Towards an Optimised Approach for Detecting Maceration.

Leila Malihi, Cornelia Erfurt-Berge, Gunther Heidemann, Mareike Przysucha, Dorothee Busch, Ursula Hübner

Proceedings of the German Medical Data Sciences 2024 - Health, 2024

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

Proceedings of the German Medical Data Sciences 2024 - Health, 2024

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, Carlotta B. C. Barkhau, Achim Hendriks, Jens Hüsers

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

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

Proceedings of the German Medical Data Sciences 2023 - Science. Close to People., 2023

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, Joachim Dissemond, Cornelia Erfurt-Berge, Ursula Hübner

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

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, Ursula Hübner

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

2021

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

Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021