Federica Sammali

No ORCID on file · 5 papers in corpus · active 2018-2020

Study types

  • article 4
  • other 1

Condition tags

  • infertility 2
  • dysmenorrhea 1
  • endometriosis 1
  • adenomyosis 1
article 2020
VP62.05: Quantitative ultrasound measurement of endometrial waves in abrnormal uteri: interim results of the WAVES study
·doi:10.1002/uog.23366

Measurement and analysis of uterine contractions (UC) through a machine-learning model based on quantitative 2D and 3D transvaginal ultrasound (TVUS) measurements in women with abnormal uteri due to adenomyosis, leiomyomas or uterine anomal…

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…

article 2019
Visual inspection of transvaginal ultrasound videos to characterize uterine peristalsis: an inter-observer agreement study
·doi:10.1007/s40477-018-00356-z
article 2018
Feasibility of Transabdominal Electrohysterography for Analysis of Uterine Activity in Nonpregnant Women
Reproductive sciences (Thousand Oaks, Calif.) ·doi:10.1177/1933719118768700
article 2018
OC22.04: Ultrasound‐based strain mapping for contraction frequency in the non‐pregnant uterus
·doi:10.1002/uog.19357

It has been postulated that increased uterine peristalsis (UP) negatively influences in vitro fertilisation outcome due to endometrial hyper-contractility after embryo transfer. An objective and non-invasive characterisation of UP can there…