Mareike Przysucha

17 papers Journal 1Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Impact of AI recommendation correctness on diagnostic accuracy in clinical decision-making. Int. J. Medical Informatics Florian Kücking, Dorothee Busch, Mareike Przysucha, Jan-Oliver Kutza, Niels Hannemann, Jens Hüsers, Birgit Babitsch, Ursula Hübner
2024	—	`conf`	Automatic Classification of Wound Images Showing Healing Complications: Towards an Optimised Approach for Detecting Maceration. GMDS Leila Malihi, Cornelia Erfurt-Berge, Gunther Heidemann, Mareike Przysucha, Dorothee Busch, Ursula Hübner
2024	—	`conf`	Automation Bias in AI-Decision Support: Results from an Empirical Study. GMDS Ursula Hübner, Mareike Przysucha, Niels Hannemann, Jan-Oliver Kutza, Maurice Moelleken, Cornelia Erfurt-Berge, Joachim Dissemond, Birgit Babitsch, Dorothee Busch
2023	—	`conf`	Adoption and Determinants of Assistive Technologies in the Real World: Results from the VdK Study. GMDS Ursula Hübner, Ivanna Yalymova, Mareike Przysucha, Andreas Büscher
2023	—	`conf`	Can Synthetic Images Improve CNN Performance in Wound Image Classification? MIE 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
2023	—	`conf`	Design and Implementation of an ETL-Process to Transfer Wound-Related Data into a Standardized Common Data Model. GMDS Mareike Przysucha, Jens Hüsers, Daniil Liberman, Oliver Kersten, Aphrodite Schlüter, Sebastian Fraas, Dorothee Busch, Maurice Moelleken, Cornelia Erfurt-Berge, Joachim Dissemond, Ursula Hübner
2022	—	`conf`	An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcers. MIE 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
2022	—	`conf`	Automatic Wound Type Classification with Convolutional Neural Networks. ICIMTH 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
2022	—	`conf`	What Went Wrong in eMedCare? Formative Evaluation of an IT Project in Primary Care in Two Rural Districts. GMDS Mareike Przysucha, Lara Peters, Andreas Büscher, Martin Schnellhammer, Ursula Hübner
2021	—	`conf`	Automatic Classification of Diabetic Foot Ulcer Images - A Transfer-Learning Approach to Detect Wound Maceration. ICIMTH Jens Hüsers, Guido Hafer, Jan Heggemann, Stefan Wiemeyer, Mareike Przysucha, Joachim Dissemond, Maurice Moelleken, Cornelia Erfurt-Berge, Ursula Hübner
2021	—	`conf`	Evaluation of a Clinical Decision Support System in the Domain of Chronic Wound Management. MIE Stefan Vogel, Jendrik Richter, Stefanie Wache, Kerstin Pischek-Koch, Simone Auchter, Sebastian Zebbities, Karen Güttler, Ursula Hübner, Mareike Przysucha, Jens Hüsers, Björn Sellemann
2020	—	`conf`	Implementation and Analysis of Two Knowledge Base Approaches for the Treatment of Chronic Wounds. MIE Stefan Vogel, Jendrik Richter, Stefanie Wache, Kerstin Pischek-Koch, Simon Auchter, Sebastian Zebbities, Karen Güttler, Ursula Hübner, Mareike Przysucha, Jens Hüsers, Björn Sellemann
2018	—	`conf`	Requirements for Collaborative Decision Support Systems in Wound Care: No Information Continuity Without Management Continuity. GMDS Mareike Przysucha, Stefan Vogel, Jens Hüsers, Stefanie Wache, Björn Sellemann, Ursula Hübner
2017	—	`conf`	Cognitive Performance of Users Is Affected by Electronic Handovers Depending on Role, Task and Human Factors. GMDS Mareike Przysucha, Daniel Flemming, Georg Schulte, Ursula Hübner
2017	—	`conf`	Patient Handovers - Cognitively Demanding: Does the Handover EHR Meet This Challenge? MedInfo Ursula Hübner, Mareike Przysucha
2016	—	`conf`	The Benefits of a Formative Evaluation for Developing a Highly Innovative Software: The Case of the handoverEHR. MIE Mareike Przysucha, Daniel Flemming, Ursula Hübner
2015	—	`conf`	Restricted Versus Unrestricted Search Space: Experience from Mining a Large Japanese Database. MedInfo Hendrik Nienhoff, Ursula Hübner, Andreas Frey, Mareike Przysucha, Michio Kimura