Publikationen

2026

• Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation

  Banerjee, S., Weiss, V., Donovan, T. A., Fick, R., Conrad, T., Ammeling, J., … Bertram, C. A. (2026). Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation. Machine Learning for Biomedical Imaging, 3, 115–125. http://doi.org/https://doi.org/10.59275/j.melba.2026-6c1g

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    • Banerjee, Sweta
    • Porsche, Nils
    • Aubreville, Marc

  • Forschungsprojekt

    • (mu)ROMI: 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

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  • 2026
  • Journal Article
  • • Sweta Banerjee
    • Viktoria Weiss
    • Taryn Donovan
    • Rutger Fick
    • Thomas Conrad
    • Jonas Ammeling
    • Nils Porsche
    • Robert Klopfleisch
    • Christopher Kaltenecker
    • Katharina Breininger
    • Marc Aubreville
    • Christof Bertram

• Extreme turbulence effects on wind turbine loads: A case study for the North China Plain using nacelle lidar

  Guo, F., Liu, X., Schlipf, D., Wu, S., Gao, Z., Wang, X., & Sun, J. (2026). Extreme turbulence effects on wind turbine loads: A case study for the North China Plain using nacelle lidar. Renewable Energy, 268, 125774. http://doi.org/https://doi.org/10.1016/j.renene.2026.125774

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    • Schlipf, David

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  • 2026
  • Journal Article
  • • Feng Guo
    • Xiaoying Liu
    • David Schlipf
    • Songhua Wu
    • Zhen Gao
    • Xitao Wang
    • Jiazheng Sun

• Optimisation of the Hydraulic Variable Inertia Flywheel for Specific Energy

  Rettig, A., Reese, L., & Jauch, C. (2026). Optimisation of the Hydraulic Variable Inertia Flywheel for Specific Energy. In 19. Symposium Energieinnovation 2026. Östereich, Graz. http://doi.org/https://doi.org/10.13140/RG.2.2.10150.59203

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  The ongoing transition towards inverter-based generation is significantly reducing conventional rotational inertia in power systems, leading to increased rates of change of frequency. To address this challenge, the Hydraulic Variable Inertia Flywheel (HVI-FW) represents a novel alternative for distributed and inherent inertia provision. This paper presents a design tool developed to optimize the geometric parameters of the novel flywheel, with respect to specific energy. A parameter study is conducted by varying key geometric dimensions, such as radius and height. The results demonstrate that the HVI-FW can achieve significantly higher specific energy than conventional flywheels, particularly for small radii, making it well suited for coupling with small, synchronously rotating electrical machines. The findings highlight the potential of the HVI-FW as an effective solution for providing distributed inertia in future low-inertia power systems.

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  • Personenseiten

    • Jauch, Clemens

  • Forschungsprojekt

    • Inno!Nord-HYDRAD - Hydraulischer Schwungradspeicher

  • Abteilung/Einrichtung

    • Wind Energy Technology Institute

  • Profilbereich

    • Erneuerbare Energien und nachhaltige Entwicklung

  • Forschungsfeld

    • Netzintegration

  • Fachbereich

    • Fachbereich 2: Energy and Life Science

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  • 2026
  • Conference Paper
  • • Arne Rettig
    • Lisanne Reese
    • Prof. Dr. Clemens Jauch
  • • Flywheel, Inertia, Power System Inertia, Energy Storage, Electrical Machines

• Data set creation for supervised deep learning–based analysis of microscopic images: Review of important considerations and recommendations

  Bertram, C. A., Weiss, V., Ammeling, J., Schabel, M., Donovan, T. A., Wilm, F., … Aubreville, M. (2026). Data set creation for supervised deep learning–based analysis of microscopic images: Review of important considerations and recommendations. Veterinary Pathology, 03009858261457959. http://doi.org/10.1177/03009858261457959

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  Supervised deep learning (DL) receives great interest for automated analysis of microscopic images with an increasing body of literature supporting its potential. The development and testing of those DL models rely heavily on the availability of high-quality, large-scale data sets. However, creating such data sets is a complex and resource-intensive process, often hindered by challenges such as time constraints, domain variability, and risks of bias in image collection and label creation. This review provides a comprehensive guide to the critical steps in data set creation, including (1) image acquisition, (2) selection of annotation software, and (3) annotation creation. For image acquisition, besides ensuring a sufficiently large number, it is important to address sources of image variability (domain shifts), such as those related to slide preparation and digitization, that could lead to algorithmic errors if not adequately represented in the training data. For annotations, key quality criteria are the 3 “C”s: correctness, consistency, and completeness. For mitigation of annotation bias of a single annotator, this review explores advanced annotation methods (eg, computer-assisted annotations). To support data set creators, a standard operating procedure is provided as supplemental material, summarizing all important considerations for data set creation. Furthermore, this article underscores the importance of open data sets in driving innovation and enhancing reproducibility of DL research. By addressing the challenges and offering practical recommendations, this review aims to advance the creation and availability of high-quality, large-scale data sets, ultimately contributing to the development of generalizable and robust DL models for pathology applications.

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    • Aubreville, Marc

  • Abteilung/Einrichtung

    • FLAIR - Flensburg Artificial Intelligence Research

  • Profilbereich

    • Informatik und Gestaltung

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2026
  • Journal Article
  • • Christof Bertram
    • Viktoria Weiss
    • Jonas Ammeling
    • Maria Schabel
    • Taryn Donovan
    • Frauke Wilm
    • Christian Marzahl
    • Katharina Breininger
    • Marc Aubreville

• Future Frequency Stabilisation by Innovative Hydraulic Variable Inertia Flywheel

  Reese, L., Rettig, A., & Jauch, C. (2026). Future Frequency Stabilisation by Innovative Hydraulic Variable Inertia Flywheel. In 19. Symposium Energieinnovation 2026. http://doi.org/10.13140/RG.2.2.34154.27848

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    • Jauch, Clemens

  • Forschungsprojekt

    • Inno!Nord-HYDRAD - Hydraulischer Schwungradspeicher

  • Abteilung/Einrichtung

    • Wind Energy Technology Institute

  • Profilbereich

    • Erneuerbare Energien und nachhaltige Entwicklung

  • Forschungsfeld

    • Netzintegration

  • Fachbereich

    • Fachbereich 2: Energy and Life Science

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  • 2026
  • Conference Paper
  • • Lisanne Reese
    • Arne Rettig
    • Prof. Dr. Clemens Jauch

• Reporting Transparency in Veterinary Pathology Deep Learning: A Systematic Review of Reproducibility-Critical Details

  Banerjee, S., Bertram, C. A., Weiss, V., Ammeling, J., Conrad, T., Porsche, N., … Aubreville, M. (2026). Reporting Transparency in Veterinary Pathology Deep Learning: A Systematic Review of Reproducibility-Critical Details. Veterinary Pathology. http://doi.org/10.1177/03009858261459452

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    • Banerjee, Sweta
    • Porsche, Nils
    • Aubreville, Marc

  • Forschungsprojekt

    • (mu)ROMI: 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

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  • 2026
  • Journal Article
  • • Sweta Banerjee
    • Christof Bertram
    • Viktoria Weiss
    • Jonas Ammeling
    • Thomas Conrad
    • Nils Porsche
    • Robert Klopfleisch
    • Christoph Stoblberger
    • Christopher Kaltenecker
    • Katharina Breininger
    • Marc Aubreville

• Großwärmepumpen für den kurz- bis mittelfristigen Einsatz in multivalenten Wärmeversorgungssystemen

  Freißmann, J., Fritz, M., & Tuschy, I. (2026). Großwärmepumpen für den kurz- bis mittelfristigen Einsatz in multivalenten Wärmeversorgungssystemen. In J. Knies, T. Schwarz, & Y. E. Gerling (Hrsg.), Tagungsband zur 3. Konferenz der Norddeutschen Wärmeforschung (S. 54–59). Hochschule Bremen. http://doi.org/10.26092/elib/5016

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    • Freißmann, Jonas
    • Fritz, Malte
    • Tuschy, Ilja

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  • 2026
  • Conference Paper
  • • Jonas Freißmann
    • Malte Fritz
    • Ilja Tuschy
    • Jürgen Knies
    • Timmy Schwarz
    • Yannik Gerling
  • • Wärmewende
    • Wärmeforschung
    • Energiewende
    • Fernwärme
    • Nahwärme
    • Transformation
    • Wärmeversorgung
    • Energieversorgung
    • Wärmepumpe
    • Wohngebäude
    • Wärmeplanung
    • Wärmespeicher
    • Wasserstoff
    • Energiespeicher

• Closeness Atoms: Towards more Personal Relatedness Technologies

  Butenberg, C., Zumaya, M. \ia del M., Hassenzahl, M., & Wallbaum, T. (2026). Closeness Atoms: Towards more Personal Relatedness Technologies. In Proceedings of the 10th ACM International Symposium on Pervasive Displays. New York, NY, USA: Association for Computing Machinery. http://doi.org/10.1145/3797993.3798002

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  Young adults in long-distance relationships often miss the presence of their loved ones. Technologically mediated awareness offers a potential remedy. While Human-Computer Interaction has introduced various concepts to support such connections, these are often limited by predefined input/output modalities and fixed interaction forms. This restricts personalization and can hinder user acceptance. To address these limitations, we propose a concept of a customizable toolbox of “Closeness Atoms”. We studied needs and requirements of young adults in long-distance relationships via an online survey (n=94), literature review (n=53) and semi-structured interviews (n=7). Our findings indicate a wish to share everyday moments, emotions, and activities, but lack personalized ways to express their unique forms of relatedness. Therefore our toolbox concept enables users to combine and configure modalities such as light, sound, and video to create individual relatedness experiences. This approach supports flexible, emotionally meaningful connections tailored to diverse personal and relational needs.

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  • Personenseiten

    • Wallbaum, Torben

  • Forschungsprojekt

    • Miteinander: Mit interaktiver Technologie in Alltagssituationen Nähe auf Distanz ermöglichen

  • Abteilung/Einrichtung

    • CIVU – Center for Interaction, Visualization and Usability

  • Profilbereich

    • Informatik und Gestaltung

  • Forschungsfeld

    • Human-Computer-Interaction

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2026
  • Conference Paper
  • • Chantal Butenberg
    • Mar\ Zumaya
    • Marc Hassenzahl
    • Torben Wallbaum
  • • Relatedness
    • awareness
    • personalization
    • adaptable systems
    • long-distance relationships
    • in-/output modalities

• A Subphase-Labeled Mitotic Dataset for AI-powered Cell Division Analysis

  Ivan, Z., Hirling, D., Grexa, I., Ammeling, J., Molnar, C., Micsik, T., … Horvath, P. (2026). A Subphase-Labeled Mitotic Dataset for AI-powered Cell Division Analysis. Scientific Data. http://doi.org/10.1038/s41597-026-07007-7

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  Abstract Mitosis detection represents a critical task in digital pathology, as it plays an important role in the tumor grading and prognosis of patients. Manual determination is a labor-intensive task for practitioners with high interobserver variability, thus, automation is a priority. There has been substantial progress towards creating robust mitosis detection algorithms, primarily driven by the Mitosis Domain Generalization (MIDOG) challenges. Also, there has been growing interest in the molecular characterization of mitosis to achieve a more comprehensive understanding of its underlying mechanisms in a subphase-specific manner. We introduce a new mitotic figure dataset annotated with subphase information based on the MIDOG++ dataset as well as a previously unrepresented tumor domain to enhance the diversity and applicability. We envision a new perspective for domain generalization by improving model performance with subtyping mitosis, complemented with an atypical mitotic class. Our work has implications in two main areas: subtyping information can provide helpful information in mitosis detection, while also providing promising new directions in answering biological questions, such as molecular analysis of subphases.

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    • Aubreville, Marc

  • Abteilung/Einrichtung

    • FLAIR - Flensburg Artificial Intelligence Research

  • Profilbereich

    • Gesundheit und Life Sciences

  • Forschungsfeld

    • Data Science und Künstliche Intelligenz

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2026
  • Journal Article
  • • Zsanett Ivan
    • Dominik Hirling
    • Istvan Grexa
    • Jonas Ammeling
    • Csaba Molnar
    • Tamas Micsik
    • Katalin Dobra
    • Levente Kuthi
    • Farkas Sukosd
    • Janos Fillinger
    • Judit Moldvay
    • Erika Toth
    • Marc Aubreville
    • Vivien Miczan
    • Peter Horvath

• Open Source Web Dashboard zur Unterstützung der Konzeption von Wärmeversorgungssystemen

  Fritz, M., Freißmann, J., & Tuschy, I. (2026). Open Source Web Dashboard zur Unterstützung der Konzeption von Wärmeversorgungssystemen. In J. Knies, T. Schwarz, & Y. E. Gerling (Hrsg.), Tagungsband zur 3. Konferenz der Norddeutschen Wärmeforschung (S. 33–38). Hochschule Bremen. http://doi.org/10.26092/elib/5016

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    • Fritz, Malte
    • Freißmann, Jonas
    • Tuschy, Ilja

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  • 2026
  • Conference Paper
  • • Malte Fritz
    • Jonas Freißmann
    • Ilja Tuschy
    • Jürgen Knies
    • Timmy Schwarz
    • Yannik Gerling
  • • Wärmewende
    • Wärmeforschung
    • Energiewende
    • Fernwärme
    • Nahwärme
    • Transformation
    • Wärmeversorgung
    • Energieversorgung
    • Wärmepumpe
    • Wohngebäude
    • Wärmeplanung
    • Wärmespeicher
    • Wasserstoff
    • Energiespeicher