T. Bakkes

A model-based approach to generating annotated pressure support waveforms

A. De Bie, M. Mischi, P. Woerlee, 2022, Journal of Clinical Monitoring and Computing.

Prediction of embryo implantation by machine learning based on ultrasound strain imaging

C. Rabotti, M. Mischi, F. Sammali, 2019, 2019 IEEE International Ultrasonics Symposium (IUS).

Prediction of unsuccessful endometrial ablation: random forest vs logistic regression

S. Houterman, M. Gelderblom, B. Schoot, 2019, Gynecological Surgery.

A model-based approach to generating annotated pressure support waveforms

A. De Bie, M. Mischi, P. Woerlee, 2022, Journal of Clinical Monitoring and Computing.

A model-based approach to generating annotated pressure support waveforms pdf

M. Mischi, A. van Diepen, T. H. G. F. Bakkes, 2021, Journal of Clinical Monitoring and Computing.

Evaluation of the accuracy of established patient inspiratory effort estimation methods during mechanical support ventilation

M. Mischi, R. Bouwman, S. Turco, 2023, Heliyon.

A machine learning method for automatic detection and classification of patient-ventilator asynchrony

M. Mischi, T.H.G.F Bakkes, R.J.H. Montree, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Multi-Modal Uterine-Activity Measurements for Prediction of Embryo Implantation by Machine Learning

Massimo Mischi, Chiara Rabotti, Federica Sammali, 2021, IEEE Access.

Automated detection and classification of patient-ventilator asynchrony by means of machine learning and simulated data

Ashley De Bie, M. Mischi, F. Mojoli, 2023, Comput. Methods Programs Biomed..

External validation of the Advanced Alert Monitor (AAM) in a Dutch Hospital.

U. Kaymak, S. Turco, T. Bakkes, 2024, 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA).