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Publications

Displaying results 271 to 280 of 682.

  1. Falco Lentzsch; Frédéric Li; Friederike Pagel; Margot Lau; Andrea Kock; Hanna Marie Röhling; Benedikt-Johannes Rothstein; Maciej Baranowski; Marco Maass; Hannes Hölzl; Sebastian Glande; Sebastian Mansow-Model; Ute Thyen; Marcin Grzegorzek

    A machine learning study highlighting the challenges of fidgety movement recognition using vision and inertial sensors

    In: Scientific Reports (Sci Rep), Vol. Scientific Reports volume 16, Article number: 459, Pages 1-16, Nature Publishing Group UK London, 2026.

  2. Tanya Amit Tyagi

    Critical Evaluation of Biologically Informed Neural Networks: Validating Biological Pathway Representation

    Mastersthesis, University of Saarland, 2026.

  3. Hans-Georg Fill; Jennifer Horkoff; Peter Fettke; Julius Köppke

    Generative AI and Conceptual Modeling

    In: Oliver Hinz (Hrsg.). Business & Information Systems Engineering (BISE), Vol. 68, Pages 1-5, Springer Nature LINK, Wiesbaden, 2/2026.

  4. Rajai Alhimdiat; Ramy Battrawy; René Schuster; Didier Stricker; Wesam Ashour

    SF3D-RGB: Scene Flow Estimation from Monocular Camera and Sparse LiDAR

    In: Proceedings of the 2026 Computer Vision Conference (CVC). Computer Vision Conference (CVC-2026), May 21-22, Amsterdam, Netherlands, Springer, 5/2026.

  5. Sofija Engelson; Yannic Elser; Malte Maria Sieren; Jan Ehrhardt; Julia Andresen; Stefanie Schierholz; Tobias Keck; Daniel Drömann; Jörg Barkhausen; Heinz Handels

    Deep learning-based mediastinal lymph node assessment on PET/CT images without pixel-level annotations

    In: Journal of Medical Imaging (JMI), Vol. 13, No. 1, Pages 1-18, SPIE, 2/2026.

  6. Shreedhar Govil; Didier Stricker; Jason Raphael Rambach

    DriverGaze360: OmniDirectional Driver Attention with Object-Level Guidance

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR), June 3-7, Denver, Colorado, United States Minor Outlying Islands, IEEE, 2026.

  7. Saifullah Saifullah; Stefan Agne; Andreas Dengel; Sheraz Ahmed

    The Reality of High Performing Deep Learning Models: A Case Study on Document Image Classification

    In: IEEE Access (IEEE), Vol. 12, Pages 103537-103564, IEEE, 2024.

  8. Sara Farmahini Farahani

    Towards Personalized Cancer Immunotherapy: A Deep Learning Approach for Tumor-Specific T Cell Receptor Discovery

    Mastersthesis, University of Saarland, 2/2026.

  9. Yihao Sun; Tianming Du; Bin Wang; Mamunur Rahaman; Xinghao Wang; Xinyu Huang; Tao Jiang; Marcin Grzegorzek; Hongzan Sun; Jian Xu; Chen Li

    COVID-19CT+: A public dataset of CT images for COVID-19 retrospective analysis

    In: Journal of X-ray science and technology, Vol. 33, Pages 901-915, SAGE Journals, 5/2025.

  10. Enhui He; Yiran Wang; Xinghao Wang; Zhanxiong Yi; Marcin Grzegorzek; Peipei Yang; Xiangdong Hu; Ying Feng; Zhixiang Wang

    Recommendation of a Surgical Approach for Papillary Thyroid Microcarcinoma Based on Preoperative Ultrasound Features Using a Multiclass Deep Neural Network

    In: Journal of Medical and Biological Engineering (JMBE), Vol. 45, Pages 378-384, Springer Nature, 6/2025.

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