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Biomedizinische Technik. Biomedical Engineering|November 1, 1996
[Measuring pulmonary CO2 elimination--studies with the lung model using various mixed gases]H Gehring, W Nahm, D Hufker, et al.
Biomedizinische Technik. Biomedical Engineering|December 20, 2015
Measuring multiple neuromuscular activation using EMG - a generalizability analysisAmir Pourmoghaddam, Marius Dettmer, Daniel P O'Connor, et al.
Biomedizinische Technik. Biomedical Engineering|July 6, 2026
DeepKneeXR: YOLOv8 multi-label X-rays detection of knee abnormalities from sports injury with clinical explainabilityLong Ding, Hongjiu Li
Biomedizinische Technik. Biomedical Engineering|June 21, 2001
[Artificial intelligence in sleep analysis (ARTISANA)--modelling visual processes in sleep classification]M Schwaibold, B Schöller, T Penzel, et al.
Biomedizinische Technik. Biomedical Engineering|May 7, 2013
Evaluation of a semi-automatic segmentation algorithm in 3D intraoperative ultrasound brain angiographyClaire Chalopin, Karl Krissian, Jürgen Meixensberger, et al.
Biomedizinische Technik. Biomedical Engineering|June 30, 2020
Age dependency of the diabetes effects on the iris recognition systems performance evaluation resultsMohammadreza Azimi, Seyed Ahmad Rasoulinejad, Andrzej Pacut
Biomedizinische Technik. Biomedical Engineering|January 15, 2013
Design and implementation of a control system reflecting the level of analgesia during general anesthesiaMatthias Janda, Agnes Schubert, Jörn Bajorat, et al.
Biomedizinische Technik. Biomedical Engineering|June 24, 2004
Automated EEG preprocessing during anaesthesia: new aspects using artificial neural networksC Jeleazcov, S Egner, F Bremer, et al.
Biomedizinische Technik. Biomedical Engineering|August 19, 2006
EEG parameters and their combination as indicators of depth of anaesthesiaDenis Jordan, Gerhard Schneider, Andreas Hock, et al.
Biomedizinische Technik. Biomedical Engineering|May 8, 2026
Deep learning-enabled monitoring of postoperative fracture healing on serial radiographs: a 150-patient study using an enhanced YOLOv11 frameworkYugang Teng, Qiang Li, Zhenyu Wang, et al.
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