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Gülen Yerlikaya-Schatten
Priv.-Doz. DDr. Gülen Yerlikaya-SchattenHead of IMAG - Study Group (Imaging of fetal malformation and genetics)

Department of Obstetrics and Gynecology (Division of Obstetrics and Feto-Maternal Medicine)
Position: Consultant

ORCID: 0000-0002-9214-740X
T +43 1 40400 28210


Embryonic and Fetal Development; Fetal Death; Fetal Diseases; Fetal Heart; Genetics; Prenatal Diagnosis; Ultrasonography, Prenatal

Research interests

Gülen leads the IMAG Study Group (imaging of fetal malformations and genetic). The focus of the working group is the scientific workup of abnormalities detected in prenatal ultrasound and the underlying genetic etiology. Furthermore, the implementation of a database for medically induced terminations of pregnancies (TOPFet Register) in order to be able to scientifically process this important area of ​​prenatal diagnostics.

In addition to general fetal medicine and genetics, another major area of ​​interest is fetal and maternal cardiac assessment, as well as twin pregnancies just like twin pregnancies and their complications. In recent years there has been a significant increase in twins and higher-order multiple pregnancies. This special patient population therefore also deserves more attention.

She is currently collaborating with international research groups and is building a biobank for multiple pregnancies.

Selected publications

  1. Reischer, T. et al. (2022) ‘Clinical Course and Outcome of Non-Immune Fetal Hydrops in Singleton Pregnancies’, Journal of Clinical Medicine, 11(3), p. 702. Available at:
  2. Reischer, T. et al. (2023) ‘Factors Influencing the Duration of Termination of Pregnancy for Fetal Anomaly with Mifepristone in Combination with Misoprostol’, Journal of Clinical Medicine, 12(3), p. 869. Available at:
  3. Yerlikaya, G. et al. (2019) ‘Prenatal detection of right aortic arch’, Archives of Gynecology and Obstetrics, 299(4), pp. 933–938. Available at:
  4. Springer, S. et al. (2023) ‘Outcome of Fetal Dysrhythmias with and without Extracardiac Anomalies’, Diagnostics, 13(3), p. 489. Available at:
  5. Yerlikaya, G. et al. (2016) ‘Prediction of stillbirth from maternal demographic and pregnancy characteristics’, Ultrasound in Obstetrics & Gynecology, 48(5), pp. 607–612. Available at: