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Hierarchical individualization of a recruitment model with a viscoelastic component for ARDS patients.

, , and . EMBC, page 5220-5223. IEEE, (2013)

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Utility of a novel error-stepping method to improve gradient-based parameter identification by increasing the smoothness of the local objective surface: A case-study of pulmonary mechanics., , , , and . Computer Methods and Programs in Biomedicine, 114 (3): e70-e78 (2014)Reformulation of the pressure-dependent recruitment model (PRM) of respiratory mechanics., , , , and . Biomed. Signal Proc. and Control, (2014)Komplexe Modellsysteme in der automatisierten Beatmung., , , and . Automatisierungstechnik, 63 (1): 53-69 (2015)Hierarchische Modellsysteme zur Optimierung der Beatmungstherapie., , , , , and . Wissenschaft und Kunst der Modellierung, volume 64 of Philosophical Analysis, De Gruyter, (2015)Structural Identifiability and Practical Applicability of an Alveolar Recruitment Model for ARDS Patients., , , , and . IEEE Trans. Biomed. Engineering, 59 (12): 3396-3404 (2012)Inverse modeling supports quantification of pressure and time depending effects in ARDS patients., and . EMBC, page 1013-1016. IEEE, (2011)Combination of engineering and medical education using an active mechanical lung simulator., , , and . CBMS, page 542-543. IEEE Computer Society, (2013)Hierarchical modeling for medical decision support., , and . BMEI, page 960-964. IEEE, (2011)i-Maintenance: A Digital Twin for Smart Maintenance., , and . ERCIM News, (2018)Hierarchical Parameter Identification in Models of Respiratory Mechanics., , , , and . IEEE Trans. Biomed. Engineering, 58 (11): 3234-3241 (2011)