Publikationen

Autor*in

Jahr der Veröffentlichung

Publikationsformat

Keyword

Forschungsprojekt

Institut/Einrichtung

2025

Artificial intelligence predicts c-KIT exon 11 genotype by phenotype in canine cutaneous mast cell tumors: Can human observers learn it?

Puget, C., Ganz, J., Bertram, C. A., Conrad, T., Baeblich, M., Voss, A., … Klopfleisch, R. (2025). Artificial intelligence predicts c-KIT exon 11 genotype by phenotype in canine cutaneous mast cell tumors: Can human observers learn it? Veterinary Pathology, 03009858251380284. http://doi.org/10.1177/03009858251380284 (Original work published 2025)
Suche auf Google Scholar

DOI Verweis
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

Aubreville, Marc

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

CIVU – Center for Interaction, Visualization and Usability

Profilbereich

Gesundheit und Life Sciences

Fachbereich

Fachbereich 3: Information und Kommunikation
Filter Tags
2025

Journal Article

Chloé Puget

Jonathan Ganz

Christof Bertram

Thomas Conrad

Malte Baeblich

Anne Voss

Katharina Landmann

Alexander Haake

Andreas Spree

Svenja Hartung

Leonore Aeschlimann

Sara Soto

Simone De Brot

Martina Dettwiler

Heike Aupperle-Lellbach

Pompei Bolfa

Alexander Bartel

Matti Kiupel

Katharina Breininger

Marc Aubreville

Robert Klopfleisch
Digitale Prüfungen im Fach Buchhaltung – Entwicklung eines Moodle-Fragetyps

Tausch-Nebel, L., & van der Sluis, H. (2025). Digitale Prüfungen im Fach Buchhaltung – Entwicklung eines Moodle-Fragetyps. Die Neue Hochschule (DNH), (4/2025), 4. Abgerufen von https://www.hlb.de/die-neue-hochschule# (Original work published August 2025)

Abstract

Dieser Beitrag diskutiert das Problem, automatisierte und zugleich realitätsnahe digitale Prüfungen im Fach Buchhaltung mit Moodle abzuhalten. Es werden verschiedene Behelfslösungen erläutert und ein möglicher Lösungsansatz skizziert.
Suche auf Google Scholar
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

Tausch-Nebel, Lasse
Filter Tags
2025

Journal Article

Lasse Tausch-Nebel

Hendrik van der Sluis
Reporting guidelines for manuscripts that use artificial intelligence–based automated image analysis in Veterinary Pathology

Bertram, C. A., Schutten, M., Ressel, L., Breininger, K., Webster, J. D., & Aubreville, M. (2025). Reporting guidelines for manuscripts that use artificial intelligence–based automated image analysis in Veterinary Pathology. Veterinary Pathology, 62, 615–617. http://doi.org/10.1177/03009858251344320 (Original work published August 2025)
Suche auf Google Scholar

DOI Verweis
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

Aubreville, Marc

Forschungsprojekt

Robust and Accurate Multi-Tumor, Multi-Species, Multi-Laboratory and Multi-Scanner Mitosis Detection with Large-Scale Datasets and Artificial Intelligence

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

CIVU – Center for Interaction, Visualization and Usability

Profilbereich

Gesundheit und Life Sciences

Forschungsfeld

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 3: Information und Kommunikation
Filter Tags
2025

Journal Article

Christof Bertram

Melissa Schutten

Lorenzo Ressel

Katharina Breininger

Joshua Webster

Marc Aubreville
On the road to interactive LLM-based systematic mapping studies

Petersen, K., & Gerken, J. M. (2025). On the road to interactive LLM-based systematic mapping studies. Information and Software Technology, 178. (Original work published Februar 2025)
Suche auf Google Scholar
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

Petersen, Kai

Gerken, Jan

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Fachbereich

Fachbereich 4: Wirtschaft
Filter Tags
2025

Journal Article

Kai Petersen

Jan Gerken

Large language models

Systematic mapping studies

GPT
Joint Frequency Stabilisation in Future 100% Renewable Electric Power Systems

Reese, L., Rettig, A., Jauch, C., Domin, R. J., & Karshüning, T. (2025). Joint Frequency Stabilisation in Future 100% Renewable Electric Power Systems. Energies, 18, 17. http://doi.org/10.3390/en18020418 (Original work published Januar 2025)

Abstract

Due to the energy transition, the future electric power system will face further challenges that affect the functionality of the electricity grid and therefore the security of supply. For this reason, this article examines the future frequency stabilisation in a 100% renewable electric power system. A focus is set on the provision of inertia and frequency containment reserve. Today, the frequency stabilisation in most power systems is based on synchronous generators. By using grid-forming frequency converters, a large potential of alternative frequency stabilisation reserves can be tapped. Consequently, frequency stabilisation is not a problem of existing capacities but whether and how these are utilised. Therefore, in this paper, a collaborative approach to realise frequency stabilisation is proposed. By distributing the required inertia and frequency containment reserve across all technologies that are able to provide it, the relative contribution of each individual provider is low. To cover the need for frequency containment reserve, each capable technology would have to provide less than 1% of its rated power. The inertia demand can be covered by the available capacities at a coverage ratio of 171% (excluding wind power) to 217% (all capacities). As a result, it is proposed that provision of frequency stabilisation is made mandatory for all capable technologies. The joint provision distributes the burden of frequency stabilisation across many participants and hence increases redundancy. It ensures the stability of future electricity grids, and at the same time, it reduces the technological and economic effort. The findings are presented for the example of the German electricity grid.
Suche auf Google Scholar

DOI Verweis
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

Jauch, Clemens

Forschungsprojekt

Inno!Nord: Innovationslabor: Speicher zur Nutzung erneuerbarer Energien im echten Norden

Abteilung/Einrichtung

Wind Energy Technology Institute

Profilbereich

Erneuerbare Energien und nachhaltige Entwicklung

Fachbereich

Fachbereich 2: Energy and Life Science
Filter Tags
2025

Journal Article

Lisanne Reese

Arne Rettig

Prof. Dr. Clemens Jauch

Richard Domin

Tom Karshüning

electric power system

energy transition

frequency containment reserve

frequency stabilisation

inertia

renewable energy

synchronous stability
Reduction of torque ripple in electric drives with concentrated windings through unconventional stator slot numbers

Königs, M., & Löhlein, B. (2025). Reduction of torque ripple in electric drives with concentrated windings through unconventional stator slot numbers. e+i Elektrotechnik und Informationstechnik.
Suche auf Google Scholar
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Filter Tags
2025

Journal Article

Mike Königs

Bernd Löhlein
Investigation of Class Separability within Object Detection Models in Histopathology

Ammeling, J., Ganz, J., Wilm, F., Breininger, K., & Aubreville, M. (2025). Investigation of Class Separability within Object Detection Models in Histopathology. IEEE Transactions on Medical Imaging, 1–1. http://doi.org/10.1109/TMI.2025.3560134
Suche auf Google Scholar

DOI Verweis
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

Aubreville, Marc

Forschungsprojekt

Robust and Accurate Multi-Tumor, Multi-Species, Multi-Laboratory and Multi-Scanner Mitosis Detection with Large-Scale Datasets and Artificial Intelligence

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Profilbereich

Informatik und Gestaltung

Forschungsfeld

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 3: Information und Kommunikation
Filter Tags
2025

Journal Article

Jonas Ammeling

Jonathan Ganz

Frauke Wilm

Katharina Breininger

Marc Aubreville

Feature extraction

Object detection

Measurement

Adaptation models

histopathology

Training

Complexity theory

YOLO

Location awareness

Data mining

object detection

latent space discrimination

2024

Re-identification from histopathology images

Ganz, J., Ammeling, J., Jabari, S., Breininger, K., & Aubreville, M. (2024). Re-identification from histopathology images. Medical Image Analysis, 103335. http://doi.org/10.1016/j.media.2024.103335 (Original work published 2025)
Suche auf Google Scholar

DOI Verweis
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

Aubreville, Marc

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Forschungsfeld

Digitalisierung im Gesundheitswesen

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 3: Information und Kommunikation
Filter Tags
2024

Journal Article

Jonathan Ganz

Jonas Ammeling

Samir Jabari

Katharina Breininger

Marc Aubreville
Prediction of tumor board procedural recommendations using large language models

Aubreville, M., Ganz, J., Ammeling, J., Rosbach, E., Gehrke, T., Scherzad, A., … Goncalves, M. (2024). Prediction of tumor board procedural recommendations using large language models. European Archives of Oto-Rhino-Laryngology. http://doi.org/10.1007/s00405-024-08947-9 (Original work published 2025)

Abstract

Multidisciplinary tumor boards are meetings where a team of medical specialists, including medical oncologists, radiation oncologists, radiologists, surgeons, and pathologists, collaborate to determine the best treatment plan for cancer patients. While decision-making in this context is logistically and cost-intensive, it has a significant positive effect on overall cancer survival.
Suche auf Google Scholar

DOI Verweis
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

Aubreville, Marc

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Profilbereich

Informatik und Gestaltung

Forschungsfeld

Digitalisierung im Gesundheitswesen

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 3: Information und Kommunikation
Filter Tags
2024

Journal Article

Marc Aubreville

Jonathan Ganz

Jonas Ammeling

Emely Rosbach

Thomas Gehrke

Agmal Scherzad

Stephan Hackenberg

Miguel Goncalves
Navigating the complexities of a changing world - Interdisciplinary Electives at Flensburg University of Applied Sciences

van der Sluis, H., & John, P. (2024). Navigating the complexities of a changing world - Interdisciplinary Electives at Flensburg University of Applied Sciences. Educational Developments, 25.4, 4. Abgerufen von https://www.seda.ac.uk/seda-publishing/educational-developments/educational-developments-issue-25-4-2024/ (Original work published Dezember 2024)

Abstract

In a competitive Higher Education (HE) landscape, universities face the challenge of developing an organisational culture that supports the needs of its staff and students. The traditional staff development approach has been the attainment of skills through teaching and the completion of certificates of learning. This article challenges that practice and seeks to make the case for a renewed focus on the importance of learning through individual and group coaching practice to be ingrained into universities, shifting from a view of staff development purely as the acquisition of skills through training and teaching and moving towards
engaged learning.
Suche auf Google Scholar
Exportformate

BibTeX

EndNote X3 XML

EndNote 7 XML

EndNote tagged

RIS
Weiterführende Links
Personenseiten

John, Peter

Abteilung/Einrichtung

Dekanat FB3

Lern- und Sprachenzentrum (LSZ)

Forschungsfeld

Fachkräfte und Vernetzung

Fachbereich

Fachbereich 3: Information und Kommunikation
Filter Tags
2024

Journal Article

Hendrik van der Sluis

Peter John

Publikationen

2025

Exportformate

Weiterführende Links

Filter Tags

Abstract

Exportformate

Weiterführende Links

Filter Tags

Exportformate

Weiterführende Links

Filter Tags

Exportformate

Weiterführende Links

Filter Tags

Abstract

Exportformate

Weiterführende Links

Filter Tags

Exportformate

Filter Tags

Exportformate

Weiterführende Links

Filter Tags

2024

Exportformate

Weiterführende Links

Filter Tags

Abstract

Exportformate

Weiterführende Links

Filter Tags

Abstract

Exportformate

Weiterführende Links

Filter Tags