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Publications

Displaying results 111 to 120 of 578.
  1. Tianming Du; Yihao Sun; Xinghao Wang; Tao Jiang; Ning Xu; Zeyd Boukhers; Marcin Grzegorzek; Hongzan Sun; Chen Li

    A non-enhanced CT-based deep learning diagnostic system for COVID-19 infection at high risk among lung cancer patients

    In: Frontiers in medicine, Vol. 11, Pages 1-1, Frontiers Media SA, 2024.

  2. Prediction-Based Tip Over Prevention for Planetary Exploration Rovers

    In: Spiros Pantelakis; Andreas Strohmayer; Nikolaos Michailidis (Hrsg.). 14th EASN International Conference. EASN International Conference on Innovation in Aviation and Space for opening New Horizons, Innovation in Aviation & Space towards sustainability today & tomorrow, October 8-11, Thessaloniki, Greece, Engineering Proceedings Journal (Eng. Proc. 2025), Vol. 90(1), No. 44, MDPI, Thessaloniki, Greece, 3/2025.

  3. CO-Fun: A German Dataset on Company Outsourcing in Fund Prospectuses for Named Entity Recognition and Relation Extraction

    In: Proceedings of Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2024). Konferenz zur Verarbeitung natürlicher Sprache (KONVENS-2024), September 10-13, Vienna, Austria, KONVENS 2024 Organizers, 2024.

  4. Nabeel Khalid; Maria Caroprese; Gillian Lovell; Daniel A Porto; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    Bounding Box is all you need: Learning to Segment Cells in 2D Microscopic Images via Box Annotations

    In: 28th UK Conference on Medical Image Understanding and Analysis - MIUA. Medical Image Understanding and Analysis (MIUA-2024), Spriner Nature, 8/2024.

  5. Nabeel Khalid; Mohammadmahdi Koochali; Duway Nicolas Lesmes Leon; Maria Caroprese; Gillian Lovell; Daniel A Porto; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    CellGenie: An end-to-end Pipeline for Synthetic Cellular Data Generation and Segmentation: A Use Case for Cell Segmentation in Microscopic Images

    In: 28th UK Conference on Medical Image Understanding and Analysis - MIUA. Medical Image Understanding and Analysis (MIUA-2024), Spriner Nature, 8/2024.

  6. Tobias Wirth; Andrey Guzhov; Matthias Müller; Tobias Fischer; Lucas Howes; Dominik Ospelt

    AI combats Cybercrime - Deep Learning for Forensics

    In: Future Insight e.V. (Hrsg.). Curious 2024. Curious - Future Insight Conference (Curious-2024), July 10-11, Mainz, Germany, www.curiousfutureinsight.org, 7/2024.

  7. René Klaus Nikiel; Meghdad Mirabi; Carsten Binnig

    TrustDDL: A Privacy-Preserving Byzantine-Robust Distributed Deep Learning Framework

    In: 2024 54rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W 2024). Workshop on Dependable and Secure Machine Learning (DSML-2024), located at DSN 2024, June 24, Brisbane, Queensland, Australia, ISBN 979-8-3503-9572-3, IEEE, 2024.

  8. Enhancing Stress Detection for Students: Exploring the Impact of Fine-Tuning and User-Specific Data Calibration in Deep Learning

    In: International Journal of Activity and Behavior Computing, Vol. 2024, Pages 1-21, J-Stage, 2024.