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T.H.G.F. Bakkes
T.H.G.F. Bakkes
Eindhoven University of Technology
Machine learning
Artificial intelligence
Computer science
ultrasonic imaging
Infertility
4
Papers
5
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0
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A Model-Based Approach to Synthetic Data Set Generation for Patient-Ventilator Waveforms for Machine Learning and Educational Use
2021
arXiv: Computer Vision and Pattern Recognition
A. van Diepen
T.H.G.F. Bakkes
A.J.R. De Bie
S. Turco
R. A. Bouwman
Pierre Woerlee
M. Mischi
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A machine learning method for automatic detection and classification of patient-ventilator asynchrony
2020
EMBC | International Conference of the IEEE Engineering in Medicine and Biology Society
T.H.G.F. Bakkes
R.J.H. Montree
Massimo Mischi
F. Mojoli
Simona Turco
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Prediction of unsuccessful endometrial ablation: Random Forest vs Logistic Regression
2020
Kelly Yvonne Roger Stevens
Liesbet Lagaert
T.H.G.F. Bakkes
Malou E Gelderblom
Saskia Houterman
Tanja Gijsen
Dick C. Schoot
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Prediction of embryo implantation by machine learning based on ultrasound strain imaging
2019
IUS | Internaltional Ultrasonics Symposium
F. Sammali
C. Blank
T.H.G.F. Bakkes
Y. Huang
C Chiara Rabotti
Benedictus C. Schoot
Massimo Mischi
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Citations (2)
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