Skip to main content Skip to main navigation

Publications

Displaying results 1 to 10 of 13575.
  1. Md Abid Hasan; Frédéric Li; Vivian Tetzlaff-Lelleck; Franziska Schmelter; Greta Marie Ahlemann; Lennart Jablonski; Xinyu Huang; Christian Sina; Marcin Grzegorzek

    Deep-learning-based Detection of Food Hypersensitivity from Confocal Laser Endomicroscopy Images of the Gastro-intestinal Tract

    In: Tung X. Bui (Hrsg.). 58th Hawaii International Conference on System Sciences 2025. Proceedings. Hawaii International Conference on System Sciences (HICSS-2025), January 7-10, Pages 3290-3299, ISBN 978-0-9981331-8-8, University of Hawaii Press, 2025.

  2. Shanchuan Huang; Hongwei Lei; Jinzhu Yang; Tao Hang; Liuhan Jin; Yudong Yao; Marcin Grzegorzek; Chen Li

    An Attention Mechanism and Ensemble Learning based on Dermoscopic Image Classification.

    In: Journal of Imaging Science & Technology (JIST), Vol. 68, No. 4, Pages 1-14, Society for Imaging Science and Technology, 7/2024.

  3. Steffen Kastner; Markus Bullmann; Markus Ebner; Toni Fetzer; Frank Deinzer; Marcin Grzegorzek

    Refinement of Sparsely Tagged Ground Truth Paths Using PDR and Particle Filter Smoothing

    In: 2024 14th International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE International Conference on Indoor Positioning and Indoor Navigation (IPIN), Pages 1-6, IEEE, 2024.

  4. Rafal Doniec; Tymoteusz Krzepina; Szymon Siecinski; Muhammad Tausif Irshad; Marcin Grzegorzek

    An Educational App for the Selection of Blood Glucose Meters: A Cross-Sectional Study

    In: Jens Haueisen (Hrsg.). Current Directions in Biomedical Engineering (CDBME), Vol. 10, No. 4, Pages 204-207, De Gruyter, 2024.

  5. Cong Yang; Hua Zhou; Xun Liu; Yan Ke; Bo Gao; Marcin Grzegorzek; Zeyd Boukhers; Tao Chen; John See

    BladeView: Toward Automatic Wind Turbine Inspection With Unmanned Aerial Vehicle

    In: IEEE Transactions on Automation Science and Engineering, Vol. IEEE Transactions on Automation Science and Engineering, Pages 1-16, IEEE, 2024.

  6. Artur Piet; Johanna Geritz; Pascal Garcia; Mona Irsfeld; Frédéric Li; Xinyu Huang; Muhammad Tausif Irshad; Julius Welzel; Clint Hansen; Walter Maetzler; Marcin Grzegorzek; others

    Predicting executive functioning from walking features in Parkinson’s disease using machine learning

    In: Scientific Reports (Sci Rep), Vol. 14, No. 1, Pages 1-1, Nature Publishing Group UK London, 2024.

  7. Xinyu Huang; Franziska Schmelter; Annemarie Uhlig; Muhammad Tausif Irshad; Muhammad Adeel Nisar; Artur Piet; Lennart Jablonski; Oliver Witt; Torsten Schröder; Christian Sina; Marcin Grzegorzek

    Comparison of feature learning methods for non-invasive interstitial glucose prediction using wearable sensors in healthy cohorts: a pilot study

    In: Intelligent Medicine, Vol. 4, No. 4, Pages 226-238, Elsevier, 11/2024.

  8. Szymon Siecinski; Rafal Jan Doniec; Marcin Grzegorzek

    Linear classification of healthy people and patients with valvular heart diseases based on heart rate variability indices derived from electrocardiograms

    In: Jens Haueisen (Hrsg.). Current Directions in Biomedical Engineering (CDBME), Vol. 10, No. 4, Pages 587-590, De Gruyter, 2024.

  9. Chen Li; Yu-Dong Yao; Jiangwei Yan; Marcin Grzegorzek

    Artificial intelligence in forensic microbiology, volume II

    Pages 1-2, Vol. 15, Frontiers Media SA, 2024.

  10. Zhixiang Wang; Huiqiao Gao; Xinghao Wang; Marcin Grzegorzek; Jinfeng Li; Hengzi Sun; Yidi Ma; Xuefang Zhang; Zhen Zhang; Andre Dekker; Alberto Traverso; Zhenyu Zhang; Linxue Qian; Meizhu Xiao; Ying Feng

    A multi-Task Learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery

    In: BMC Women's Health, Vol. 24, No. 425 (2024), Springer, 2024.