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Uterine contractile activity in healthy women throughout the menstrual cycle measured using a novel quantitative two-dimensional transvaginal ultrasound speckle tracking method
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Machine learning for prediction of euploidy in human embryos : in search of the best-performing model and predictive features
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Uterine and embryo quality : features and models to predict successful IVF treatment
(2021) -
- Journal Article
- A1
- open access
Propagation of spontaneous electrical activity in the ex vivo human uterus
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Assessment of uterine activity during IVF by quantitative ultrasound imaging : a pilot study
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Improvement instead of stability in embryo quality between day 3-5 : a possible extra predictor for blastocyst selection
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Prediction of implantation after blastocyst transfer in in vitro fertilization : a machine-learning perspective
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Experimental setup for objective evaluation of uterine motion analysis by ultrasound speckle tracking
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External validation of a prediction model to select the best day-three embryo for transfer in in vitro fertilization or intracytoplasmatic sperm injection procedures