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Automated detection and classification of patient-ventilator asynchrony by means of machine learning and simulated data., , , , , , , , and . Comput. Methods Programs Biomed., (March 2023)On the value of MRI for improved understanding of cuff-based oscillometric measurements., , , , , , , , , and . EMBC, page 2898-2901. IEEE, (2022)New Hemodynamic Parameters in Peri-Operative and Critical Care - Challenges in Translation., , , , , , , , and . Sensors, 23 (4): 2226 (February 2023)The Impact of the AFE BPF in Ultrasound Harmonic Imaging: An In-Vitro Phantom Study., , , , , , , , and . BioCAS, page 1-4. IEEE, (2021)Local Density Random Walk Model Preprocessing for Local Shear Wave Viscoelastographic Estimation., , , and . MeMeA, page 1-6. IEEE, (2024)Radiomic combination of spatial and temporal features extracted from DCE-MRI for prostate cancer detection *., , , , , and . EMBC, page 3153-3156. IEEE, (2021)Air Cuff Transducer Design for Occlusion-Based Hemodynamic Measurements - An Experimental and Simulation Study., , , , , , , and . IEEE Trans. Instrum. Meas., (2022)Method for measurement of arterial compliance by fusion of oscillometry and pulse wave velocity., , , , , , and . EMBC, page 469-472. IEEE, (2020)A machine learning method for automatic detection and classification of patient-ventilator asynchrony., , , , and . EMBC, page 150-153. IEEE, (2020)Dynamic velocity vector and relative pressure estimation in the left ventricle with dynamic contrast-enhanced ultrasound of low frame rates., , , , , and . MeMeA, page 1-6. IEEE, (2018)