Schoot D

No ORCID on file · 2 papers in corpus
2026
Prediction of in-vitro fertilization outcome by ultrasound strain analysis and machine learning: A multi-center study.
The ultrasound journal ·doi:10.5826/tuj.2026.18257

BackgroundIn-vitro-fertilization (IVF) failure rates remain above 65% with unknown causes. Uterine receptivity, largely determined by uterine peristalsis, is believed to play a key role in the IVF success. Accurate assessment of uterine per…

other 2019
Machine learning for classification of uterine activity outside pregnancy
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference ·doi:10.1109/EMBC.2019.8857374

The objective of this study was to investigate the use of classification methods by a machine-learning approach for discriminating the uterine activity during the four phases of the menstrual cycle. Four different classifiers, including sup…