Mareike Przysucha

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 14

Top Topics

Thematic Mapper

Convolutional Neural Networks

Decision Support

Top Venues

Publications

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