Celine Blank - Gynecology

Author Information

Celine Blank is an esteemed researcher affiliated with multiple prestigious institutions, including the Department of Reproductive Medicine at Ghent University Hospital in Belgium, the Department of Electrical Engineering (Signal Processing Systems) at Eindhoven Technical University in the Netherlands, and the Department of Obstetrics and Gynecology at Catharina Hospital, also in the Netherlands. Her interdisciplinary expertise spans reproductive medicine, electrical engineering, and obstetrics and gynecology.

Research Contributions

Dr. Celine Blank has made significant contributions to the field of gynecology, particularly focusing on the characterization of uterine activity and embryo implantation. Her work utilizes advanced techniques such as ultrasound strain analysis, machine learning, and quantitative imaging to enhance the understanding and prediction of uterine function and embryo implantation outcomes. Notable publications span topics from the propagation of spontaneous electrical activity in the human uterus to the application of machine learning for predicting embryo implantation success in in vitro fertilization (IVF) procedures.

Aliases

C Blank, C. Blank, Celine Blank

Publication and Citation Metrics

Metric	Value
Total Citation Count	151
H-index	7
Total Paper Count	28

Publications:

Characterization of uterine peristaltic waves by ultrasound strain analysis.

DOI: 10.1109/TUFFC.2022.3165688

Year: 2022

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

DOI: 10.1109/ACCESS.2021.3067716

Year: 2021

Propagation of spontaneous electrical activity in the ex vivo human uterus

DOI: 10.1007/s00424-020-02426-w

Year: 2020

Impaired implantation in endometriosis compared with couples with male subfertility after transfer of equal quality embryos: a matched cohort study.

DOI: 10.1016/j.rbmo.2020.08.034

Year: 2020

Assessment of uterine activity during IVF by quantitative ultrasound imaging: a pilot study.

DOI: 10.1016/j.rbmo.2020.08.006

Year: 2020

VP62.05: Quantitative ultrasound measurement of endometrial waves in abrnormal uteri: interim results of the WAVES study

DOI: 10.1002/uog.23366

Year: 2020

Improvement instead of stability in embryo quality between day 3-5: A possible extra predictor for blastocyst selection.

DOI: 10.1016/j.ejogrb.2020.08.027

Year: 2020

Dedicated Ultrasound Speckle Tracking for Quantitative Analysis of Uterine Motion Outside Pregnancy

DOI: 10.1109/TUFFC.2018.2867098

Year: 2019

Prediction of implantation after blastocyst transfer in in vitro fertilization: a machine-learning perspective.

DOI: 10.1016/j.fertnstert.2018.10.030

Year: 2019

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

DOI: 10.1109/ULTSYM.2019.8926228

Year: 2019

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