Publikationen

2026

• Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology

  Rosbach, E., Ammeling, J., Ganz, J., Bertram, C. A., Conrad, T., Riener, A., & Aubreville, M. (2026). Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology. Machine Learning for Biomedical Imaging, 3, 126–147. http://doi.org/https://doi.org/10.59275/j.melba.2026-87b1 (Original work published 2026)

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    • Aubreville, Marc

  • Abteilung/Einrichtung

    • CIVU – Center for Interaction, Visualization and Usability

  • Forschungsfeld

    • Data Science und Künstliche Intelligenz

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2026
  • Journal Article
  • • Emely Rosbach
    • Jonas Ammeling
    • Jonathan Ganz
    • Christof Bertram
    • Thomas Conrad
    • Andreas Riener
    • Marc Aubreville

• Inherent uninterruptible power supply via directly grid-connected machines and variable inertia flywheels

  Rettig, A., Jahromi, S. N., Jauch, C., & Reese, L. (2026). Inherent uninterruptible power supply via directly grid-connected machines and variable inertia flywheels. Electric Power Systems Research, 256, 11. http://doi.org/https://doi.org/10.1016/j.epsr.2026.112880 (Original work published 2026)

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  This paper analyses the potential of a novel hydraulic variable inertia flywheel to improve standby power systems when attached to directly grid-connected electrical machines. Conventional standby power systems often require several seconds to reach full operation after a grid outage. During this time, critical loads may be left without power, unless supported by an additional uninterruptible power supply system. By flange-mounting a hydraulic variable inertia flywheel to an existing grid-connected electrical machine, emergency power can be provided immediately without the need for power electronics. The ability of the hydraulic variable inertia f lywheel to discharge at a quasi-constant speed offers improved frequency and voltage stability. The performance of the hydraulic variable inertia flywheel is compared with traditional flywheels of equivalent inertia and energy content across the two most common machines. The simulation results identify the most appropriate machine- f lywheel configuration to complement standby power systems. Combining a hydraulic variable inertia f lywheel with an electrically excited synchronous machine provides the most stable voltage and frequency support. The application of the widely used induction machine is found to be not preferable. Beyond acting as supplementary technology for standby power systems, combining directly grid-connected electrical machines with flywheels also offers secondary and tertiary benefits.

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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
  • Journal Article
  • • Arne Rettig
    • Saeed Jahromi
    • Prof. Dr. Clemens Jauch
    • Lisanne Reese
  • • Electrical machine
    • Flywheel
    • Hydraulic variable inertia flywheel
    • Local grid
    • Renewable energy
    • Standby power system
    • Uninterruptible power supply

• Feasibility of confocal laser endomicroscopy as an optical biopsy method for SCC on the auricle : an exploratory study

  Müller-Diesing, F., Sievert, M., Panuganti, B., Aubreville, M., Porsche, N., Hackenberg, S., … Goncalves, M. (2026). Feasibility of confocal laser endomicroscopy as an optical biopsy method for SCC on the auricle : an exploratory study. Oral and Maxillofacial Surgery, 30(1), 21+. http://doi.org/10.1007/s10006-026-01506-y

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  In the resection of cutaneous squamous cell carcinomas (cSCC) of the auricle, the challenge lies in ensuring a safe excision with adequate surgical margins in an aesthetically and functionally sensitive area, while keeping the resulting defect as small as possible. To contribute to achieving this goal, the present study is the first to investigate the potential of confocal laser endomicroscopy (CLE) as a method of optical biopsy for cSCC.

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    • Aubreville, Marc

  • Forschungsprojekt

    • Optical Biopsy of Sinonasal Tumors using Confocal Laser Endomicroscopy: A Clinical and Deep Learning-based Assessment and Visualization

  • Abteilung/Einrichtung

    • FLAIR - Flensburg Artificial Intelligence Research

  • Profilbereich

    • Gesundheit und Life Sciences

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2026
  • Journal Article
  • • Flurin Müller-Diesing
    • Matti Sievert
    • Bharat Panuganti
    • Marc Aubreville
    • Nils Porsche
    • Stephan Hackenberg
    • Manuel Stöth
    • Agmal Scherzad
    • Jasper Meyer
    • Markus Wirth
    • Miguel Goncalves

• Impact of Wind Turbulences on the Energy Yield of a Wind Turbine with a Hydraulic-Pneumatic Flywheel System in its Rotor

  Goga, A., Jauch, C., & Alhrshy, L. (2026). Impact of Wind Turbulences on the Energy Yield of a Wind Turbine with a Hydraulic-Pneumatic Flywheel System in its Rotor. In NEIS Conference 2025 (S. 170–177). Hamburg: VDE Verlag GmbH. http://doi.org/10.30420/566633024 (Original work published März 2026)

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  Wind turbulence introduces variations and oscillations in the power output of wind turbines and vibrations of wind turbine components. Higher turbulence intensities lead to significant wind speed fluctuations, necessitating frequent aerodynamic regulation of the rotor in near-rated operating points. Reducing these fluctuations stabilizes the operation of the wind turbine, which reduces power fluctuations in the grid, and which reduces wear and tear in the wind turbine. This study investigates a hydraulic-pneumatic flywheel system designed to leverage these fluctuations by absorbing excess energy during gusts (charging) and releasing it during lulls (discharging), effectively smoothing the power output. The charging phase of this system introduces an additional electrical load by driving hydraulic pumps with electric motors, thereby increasing the generator torque. Simultaneously, fluid movement along the rotor blades induces Coriolis forces, generating a negative torque that slows down the rotor. This flywheel system application reduces rotor speed and pitch angle excursions during peak wind events by storing surplus energy. When the wind speeds drop below rated wind speed due to turbulence, the stored energy is released by transferring the fluid from the tip accumulators to storage tanks in the blade roots, reducing the flywheel inertia, and hence, releasing energy. This bidirectional functionality allows mitigating the downsides of turbulence. The objective of this study is to assess the performance of the flywheel system in stabilizing power output and to quantify the energy yield improvement, with a particular focus on the influence of turbulence intensity.

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    • Goga, Abhinay
    • Jauch, Clemens
    • Alhrshy, Laurence

  • Forschungsprojekt

    • Ressourceneffizienz in der Windenergie

  • Abteilung/Einrichtung

    • Wind Energy Technology Institute

  • Profilbereich

    • Erneuerbare Energien und nachhaltige Entwicklung

  • Forschungsfeld

    • Wind

  • Fachbereich

    • Fachbereich 2: Energy and Life Science

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  • 2026
  • Conference Paper
  • • Abhinay Goga
    • Prof. Dr. Clemens Jauch
    • Laurence Alhrshy
  • • Wind Turbine
    • Variable inertia flywheel
    • Energy yield
    • Turbulence intensity

• Physik - Ausgewählte Grundkonzepte für Natur- und Ingenieurwissenschaften

  Vest, A., & Voigt, A. (2026). Physik - Ausgewählte Grundkonzepte für Natur- und Ingenieurwissenschaften (S. 436). Hamburg: Books on Demand GmbH. Abgerufen von https://buchshop.bod.de/physik-alexander-voigt-9783819275401

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    • Vest, Anja

  • Fachbereich

    • Fachbereich 2: Energy and Life Science

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  • 2026
  • Book
  • • Anja Vest
    • Alexander Voigt
  • • Physik

• 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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    • 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

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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

• Filtering Scheme for Confocal Laser Endomicroscopy (CLE)-video Sequences for Self-supervised Learning

  Porsche, N., Müller-Diesing, F., Banerjee, S., Goncalves, M., & Aubreville, M. (2026). Filtering Scheme for Confocal Laser Endomicroscopy (CLE)-video Sequences for Self-supervised Learning. In H. Handels, K. Breininger, T. Deserno, A. Maier, K. Maier-Hein, C. Palm, & T. Tolxdorff (Hrsg.), Bildverarbeitung für die Medizin 2026 (S. 375–380). Wiesbaden: Springer Fachmedien Wiesbaden. http://doi.org/10.1007/978-3-658-51100-5_73

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    • Aubreville, Marc

  • Forschungsprojekt

    • Optical Biopsy of Sinonasal Tumors using Confocal Laser Endomicroscopy: A Clinical and Deep Learning-based Assessment and Visualization

  • Abteilung/Einrichtung

    • FLAIR - Flensburg Artificial Intelligence Research

  • Forschungsfeld

    • Data Science und Künstliche Intelligenz

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2026
  • Conference Paper
  • • Nils Porsche
    • Flurin Müller-Diesing
    • Sweta Banerjee
    • Miguel Goncalves
    • Marc Aubreville
    • Heinz Handels
    • Katharina Breininger
    • Thomas Deserno
    • Andreas Maier
    • Klaus Maier-Hein
    • Christoph Palm
    • Thomas Tolxdorff

• Exploring General-purpose Autonomous Multimodal Agents for Pathology Report Generation

  Aubreville, M., Donovan, T. A., & Bertram, C. A. (2026). Exploring General-purpose Autonomous Multimodal Agents for Pathology Report Generation. In H. Handels, K. Breininger, T. Deserno, A. Maier, K. Maier-Hein, C. Palm, & T. Tolxdorff (Hrsg.), Bildverarbeitung für die Medizin 2026 (S. 393–399). Wiesbaden: Springer Fachmedien Wiesbaden. http://doi.org/10.1007/978-3-658-51100-5_76

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    • 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

  • Forschungsfeld

    • Data Science und Künstliche Intelligenz

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2026
  • Conference Paper
  • • Marc Aubreville
    • Taryn Donovan
    • Christof Bertram
    • Heinz Handels
    • Katharina Breininger
    • Thomas Deserno
    • Andreas Maier
    • Klaus Maier-Hein
    • Christoph Palm
    • Thomas Tolxdorff

• Benchmarking Foundation Models for Mitotic Figure Classification

  Ammeling, J., Ganz, J., Rosbach, E., Lausser, L., Bertram, C. A., Breininger, K., & Aubreville, M. (2026). Benchmarking Foundation Models for Mitotic Figure Classification. Machine Learning for Biomedical Imaging, 3, 38–58. http://doi.org/"https://doi.org/10.59275/j.melba.2026-a3eb"

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    • 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

    • Gesundheit und Life Sciences

  • Forschungsfeld

    • Data Science und Künstliche Intelligenz

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2026
  • Journal Article
  • • Jonas Ammeling
    • Jonathan Ganz
    • Emely Rosbach
    • Ludwig Lausser
    • Christof Bertram
    • 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