KI für Assistive Gesundheitstechnologien

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1. Szymon Siecinski; Esfandiar Mohammadi; Marcin Grzegorzek

   Estimation of indoor occupancy level based on machine learning and multimodal environmental data

   In: 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON). IEEE Mediterranean Electrotechnical Conference (IEEE MELECON-2024), June 25-27, Porto, Portugal, Pages 868-872, IEEE Xplore, 2024.

2. Natalia Piaseczna; Rafal Doniec; Szymon Siecinski; Klaudia Baranska; Marek Jkedrychowski; Marcin Grzegorzek

   Driving Reality vs. Simulator: Data Distinctions

   In: Electronics, Vol. 13, No. 14, Pages 1-1, MDPI, 2024.

3. Philip Gouverneur; Aleksandra Badura; Frédéric Li; Maria Bienkowska; Luisa Luebke; Waclaw M Adamczyk; Tibor M Szikszay; Andrzej Mysliwiec; Kerstin Luedtke; Marcin Grzegorzek; Ewa Piętka

   An Experimental and Clinical Physiological Signal Dataset for Automated Pain Recognition

   In: Scientific Data, Vol. 11, No. 1051 (2024), Nature Publishing Group UK London, 2024.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.

10. 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.

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