Publikationen

2024

• Problem Solving Strategies in Physical and Mental Rotation

  Wetzel, S., & Bertel, S. (2024). Problem Solving Strategies in Physical and Mental Rotation. Spatial Cognition Conference 2024. Dublin.

  • Suche auf Google Scholar

  Exportformate

  • BibTeX
  • EndNote X3 XML
  • EndNote 7 XML
  • EndNote tagged
  • RIS

  Weiterführende Links

  anzeigen ▸

  • Personenseiten

    • Bertel, Sven

  • Forschungsprojekt

    • Kompetenzen für eine digitale Welt: partizipative Entwicklung von Apps zum Training räumlicher Fähigkeiten im Unterricht

  • Abteilung/Einrichtung

    • CIVU – Center for Interaction, Visualization and Usability

  • Profilbereich

    • Informatik und Gestaltung

  • Forschungsfeld

    • Human-Computer-Interaction

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

  Filter Tags

  • 2024
  • Conference Proceedings
  • • Stefanie Wetzel
    • Sven Bertel

• Green Hydrogen for the Energy Transition in Germany - Potentials, Limits, and Priorities

  Doucet, F., Blohm, M., von Düsterlho, D. J.-E., & Bannert, J. (2024). Green Hydrogen for the Energy Transition in Germany - Potentials, Limits, and Priorities. In 20th International Conference on the European Energy Market (EEM). http://doi.org/https://doi.org/10.1109/EEM60825.2024.10609015

  • Suche auf Google Scholar
  • DOI Verweis

  Exportformate

  • BibTeX
  • EndNote X3 XML
  • EndNote 7 XML
  • EndNote tagged
  • RIS

  Weiterführende Links

  anzeigen ▸

  • Personenseiten

    • Blohm, Marina

  • Forschungsprojekt

    • NRL Norddeutsches Reallabor

  • Abteilung/Einrichtung

    • Wind Energy Technology Institute

  • Fachbereich

    • Fachbereich 2: Energy and Life Science

  Filter Tags

  • 2024
  • Conference Paper
  • • Felix Doucet
    • Marina Blohm
    • Prof. Dr. von Düsterlho
    • Jonas Bannert

• EXERGY-BASED METHODS FOR HEAT PUMPS

  Hofmann, M., Freißmann, J., Fritz, M., Alexe, J. H., Witte, F., & Tsatsaronis, G. (2024). EXERGY-BASED METHODS FOR HEAT PUMPS. In Proceedings of the 7th International Seminar on ORC Power System (ORC 2023) (S. 553–562). Editorial Universidad de Sevilla. http://doi.org/10.12795/9788447227457_92

  • Suche auf Google Scholar
  • DOI Verweis

  Exportformate

  • BibTeX
  • EndNote X3 XML
  • EndNote 7 XML
  • EndNote tagged
  • RIS

  Weiterführende Links

  anzeigen ▸

  • Personenseiten

    • Freißmann, Jonas
    • Fritz, Malte
    • Witte, Francesco

  Filter Tags

  • 2024
  • Book Chapter
  • • Mathias Hofmann
    • Jonas Freißmann
    • Malte Fritz
    • Jeremias Alexe
    • Francesco Witte
    • George Tsatsaronis

• Breast cancer survival prediction using an automated mitosis detection pipeline

  Stathonikos, N., Aubreville, M., de Vries, S., Wilm, F., Bertram, C. A., Veta, M., & van Diest, P. J. (2024). Breast cancer survival prediction using an automated mitosis detection pipeline. The Journal of Pathology: Clinical Research, 10, e70008. http://doi.org/https://doi.org/10.1002/2056-4538.70008

  Abstract

  anzeigen ▸

  Abstract Mitotic count (MC) is the most common measure to assess tumor proliferation in breast cancer patients and is highly predictive of patient outcomes. It is, however, subject to inter- and intraobserver variation and reproducibility challenges that may hamper its clinical utility. In past studies, artificial intelligence (AI)-supported MC has been shown to correlate well with traditional MC on glass slides. Considering the potential of AI to improve reproducibility of MC between pathologists, we undertook the next validation step by evaluating the prognostic value of a fully automatic method to detect and count mitoses on whole slide images using a deep learning model. The model was developed in the context of the Mitosis Domain Generalization Challenge 2021 (MIDOG21) grand challenge and was expanded by a novel automatic area selector method to find the optimal mitotic hotspot and calculate the MC per 2 mm2. We employed this method on a breast cancer cohort with long-term follow-up from the University Medical Centre Utrecht (N = 912) and compared predictive values for overall survival of AI-based MC and light-microscopic MC, previously assessed during routine diagnostics. The MIDOG21 model was prognostically comparable to the original MC from the pathology report in uni- and multivariate survival analysis. In conclusion, a fully automated MC AI algorithm was validated in a large cohort of breast cancer with regard to retained prognostic value compared with traditional light-microscopic MC.

  • Suche auf Google Scholar
  • DOI Verweis

  Exportformate

  • BibTeX
  • EndNote X3 XML
  • EndNote 7 XML
  • EndNote tagged
  • RIS

  Weiterführende Links

  anzeigen ▸

  • Personenseiten

    • Aubreville, Marc

  • 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

  • 2024
  • Journal Article
  • • Nikolas Stathonikos
    • Marc Aubreville
    • Sjoerd de Vries
    • Frauke Wilm
    • Christof Bertram
    • Mitko Veta
    • Paul van Diest
  • • artificial intelligence
    • machine learning
    • histopathology
    • prognosis
    • mitosis
    • outcome
    • deep learning

• Data-Driven Analysis of Physical and Mental Rotation Strategies

  Wetzel, S., & Bertel, S. (2024). Data-Driven Analysis of Physical and Mental Rotation Strategies. CogSci 2025 conference. Rotterdam: Cognitive Science Society.

  Abstract

  anzeigen ▸

  Studying physical rotation (i.e., rotation tasks during which figures can be physically rotated, such as through gestures) can offer insights also into problem solving processes at work during mental rotation. We present a novel method for behavioral pattern analysis which we applied to data from 2,999 physical rotation tasks gathered in-class from 50 secondary school students. The method uses normalized, resampled, time-dependent data on angular offsets between figures over time and agglomerative, correlation-based clustering. Each cluster represents a distinct behavioral pattern and its respective prototype a problem solving strategy. Results indicate that multiple strategies were employed: The dominant strategy matches the classical model of mental rotation, in which angular offsets between figures are decreased over time. For the secondary strategy, angular offsets were actually increased. A subsequent analysis shows that the secondary strategy was more frequently used for symmetric figures, possibly indicating problems with correctly matching segments across figures.

  • Suche auf Google Scholar

  Exportformate

  • BibTeX
  • EndNote X3 XML
  • EndNote 7 XML
  • EndNote tagged
  • RIS

  Weiterführende Links

  anzeigen ▸

  • Personenseiten

    • Bertel, Sven

  • Forschungsprojekt

    • Kompetenzen für eine digitale Welt: partizipative Entwicklung von Apps zum Training räumlicher Fähigkeiten im Unterricht

  • Abteilung/Einrichtung

    • CIVU – Center for Interaction, Visualization and Usability

  • Profilbereich

    • Informatik und Gestaltung

  • Forschungsfeld

    • Human-Computer-Interaction

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

  Filter Tags

  • 2024
  • Conference Proceedings
  • • Stefanie Wetzel
    • Sven Bertel

• Wasserstoff in der kommunalen Wärmeplanung. Lessons learned aus Schleswig-Holstein

  Blohm, M., Braunger, I., Hoffmann, I., & Semp, J. (2024). Wasserstoff in der kommunalen Wärmeplanung. Lessons learned aus Schleswig-Holstein. Abgerufen von https://coaltransitions.org/publications/wasserstoff-in-der-kommunalen-warmeplanung/

  • Suche auf Google Scholar

  Exportformate

  • BibTeX
  • EndNote X3 XML
  • EndNote 7 XML
  • EndNote tagged
  • RIS

  Weiterführende Links

  anzeigen ▸

  • Personenseiten

    • Blohm, Marina

  • Abteilung/Einrichtung

    • Wind Energy Technology Institute

  • Fachbereich

    • Fachbereich 2: Energy and Life Science

  Filter Tags

  • 2024
  • Report
  • • Marina Blohm
    • Isabell Braunger
    • Ilka Hoffmann
    • Josephine Semp

• Information mismatch in PHH3-assisted mitosis annotation leads to interpretation shifts in H&E slide analysis

  Ganz, J., Marzahl, C., Ammeling, J., Rosbach, E., Richter, B., Puget, C., … Aubreville, M. (2024). Information mismatch in PHH3-assisted mitosis annotation leads to interpretation shifts in H&E slide analysis. Scientific Reports, 14, 26273. http://doi.org/10.1038/s41598-024-77244-6

  Abstract

  anzeigen ▸

  Abstract The count of mitotic figures (MFs) observed in hematoxylin and eosin (H&E)-stained slides is an important prognostic marker, as it is a measure for tumor cell proliferation. However, the identification of MFs has a known low inter-rater agreement. In a computer-aided setting, deep learning algorithms can help to mitigate this, but they require large amounts of annotated data for training and validation. Furthermore, label noise introduced during the annotation process may impede the algorithms’ performance. Unlike H&E, where identification of MFs is based mainly on morphological features, the mitosis-specific antibody phospho-histone H3 (PHH3) specifically highlights MFs. Counting MFs on slides stained against PHH3 leads to higher agreement among raters and has therefore recently been used as a ground truth for the annotation of MFs in H&E. However, as PHH3 facilitates the recognition of cells indistinguishable from H&E staining alone, the use of this ground truth could potentially introduce an interpretation shift and even label noise into the H&E-related dataset, impacting model performance. This study analyzes the impact of PHH3-assisted MF annotation on inter-rater reliability and object level agreement through an extensive multi-rater experiment. Subsequently, MF detectors, including a novel dual-stain detector, were evaluated on the resulting datasets to investigate the influence of PHH3-assisted labeling on the models’ performance. We found that the annotators’ object-level agreement significantly increased when using PHH3-assisted labeling (F1: 0.53 to 0.74). However, this enhancement in label consistency did not translate to improved performance for H&E-based detectors, neither during the training phase nor the evaluation phase. Conversely, the dual-stain detector was able to benefit from the higher consistency. This reveals an information mismatch between the H&E and PHH3-stained images as the cause of this effect, which renders PHH3-assisted annotations not well-aligned for use with H&E-based detectors. Based on our findings, we propose an improved PHH3-assisted labeling procedure.

  • Suche auf Google Scholar
  • DOI Verweis

  Exportformate

  • BibTeX
  • EndNote X3 XML
  • EndNote 7 XML
  • EndNote tagged
  • RIS

  Weiterführende Links

  anzeigen ▸

  • Personenseiten

    • 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
    • CIVU – Center for Interaction, Visualization and Usability

  • Profilbereich

    • Informatik und Gestaltung

  • Forschungsfeld

    • Human-Computer-Interaction
    • Data Science und Künstliche Intelligenz

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

  Filter Tags

  • 2024
  • Journal Article
  • • Jonathan Ganz
    • Christian Marzahl
    • Jonas Ammeling
    • Emely Rosbach
    • Barbara Richter
    • Chloé Puget
    • Daniela Denk
    • Elena Demeter
    • Flaviu Tăbăran
    • Gabriel Wasinger
    • Karoline Lipnik
    • Marco Tecilla
    • Matthew Valentine
    • Michael Dark
    • Niklas Abele
    • Pompei Bolfa
    • Ramona Erber
    • Robert Klopfleisch
    • Sophie Merz
    • Taryn Donovan
    • Samir Jabari
    • Christof Bertram
    • Katharina Breininger
    • Marc Aubreville

• Training for Ultrasound Imaging: An Evaluation of SonoGame

  Gürgan, S., Henze, V., Gall, C., Schoenfisch, B., Brucker, S., Hahn, M., … Teistler, M. (2024). Training for Ultrasound Imaging: An Evaluation of SonoGame. ACM Symposium on Spatial User Interaction (SUI 2024). Trier, Germany: ACM, New York. http://doi.org/10.1145/3677386.3688880

  • Suche auf Google Scholar
  • DOI Verweis

  Exportformate

  • BibTeX
  • EndNote X3 XML
  • EndNote 7 XML
  • EndNote tagged
  • RIS

  Weiterführende Links

  anzeigen ▸

  • Personenseiten

    • Bertel, Sven
    • Teistler, Michael

  • Abteilung/Einrichtung

    • CIVU – Center for Interaction, Visualization and Usability

  • Profilbereich

    • Informatik und Gestaltung

  • Forschungsfeld

    • Human-Computer-Interaction

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

  Filter Tags

  • 2024
  • Conference Proceedings
  • • Selin Gürgan
    • Victoria Henze
    • Christian Gall
    • Birgitt Schoenfisch
    • Sara Brucker
    • Markus Hahn
    • Sven Bertel
    • Lukas Mayer
    • Matthias Süncksen
    • Michael Teistler

• Potentiale, Grenzen und Prioritäten. Grüner Wasserstoff für die Energiewende. Teil 5: Erzeugung von grünem Wasserstoff

  Lichtenberg, L., Lüdemann, M., Blohm, M., & von Düsterlho, D. J.-E. (2024). Potentiale, Grenzen und Prioritäten. Grüner Wasserstoff für die Energiewende. Teil 5: Erzeugung von grünem Wasserstoff.

  • Suche auf Google Scholar

  Exportformate

  • BibTeX
  • EndNote X3 XML
  • EndNote 7 XML
  • EndNote tagged
  • RIS

  Weiterführende Links

  anzeigen ▸

  • Personenseiten

    • Blohm, Marina

  • Forschungsprojekt

    • NRL Norddeutsches Reallabor

  • Abteilung/Einrichtung

    • Wind Energy Technology Institute

  • Fachbereich

    • Fachbereich 2: Energy and Life Science

  Filter Tags

  • 2024
  • Report
  • • Lia Lichtenberg
    • Max Lüdemann
    • Marina Blohm
    • Prof. Dr. von Düsterlho

• Hochtemperaturwärmepumpen in der Nah- und Fernwärmeversorgung — Technologieperspektive für den kurz- und mittelfristigen Einsatz in multivalenten Systemen

  Freißmann, J., Fritz, M., & Tuschy, I. (2024). Hochtemperaturwärmepumpen in der Nah- und Fernwärmeversorgung — Technologieperspektive für den kurz- und mittelfristigen Einsatz in multivalenten Systemen. http://doi.org/10.5281/zenodo.13311533

  • Suche auf Google Scholar
  • DOI Verweis

  Exportformate

  • BibTeX
  • EndNote X3 XML
  • EndNote 7 XML
  • EndNote tagged
  • RIS

  Weiterführende Links

  anzeigen ▸

  • Personenseiten

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

  Filter Tags

  • 2024
  • Report
  • • Jonas Freißmann
    • Malte Fritz
    • Ilja Tuschy