Victoria S. Jiang

ORCID: 0000-0003-0625-1399 · 5 papers in corpus
2025
IMPROVED OUTCOMES WITH PROGRAMMED VS NATURAL CYCLES FOR FROZEN EMBRYO TRANSFER (FET) IN PATIENTS WITH ENDOMETRIOSIS
·doi:10.1016/j.fertnstert.2025.05.067
observational 2024
Trophectoderm grade as a predictor of beta human-chorionic gonadotropin rise in early pregnancy
Journal of assisted reproduction and genetics ·doi:10.1007/s10815-024-03166-x

PURPOSE: To evaluate the association, if any, between the grade of the trophectoderm (TE) and the rate at which β-human-chorionic gonadotropin (β-HCG) rises in early pregnancy. METHODS: This is a retrospective cohort study including 1116 s…

other 2023
The use of voting ensembles to improve the accuracy of deep neural networks as a non-invasive method to predict embryo ploidy status
Journal of assisted reproduction and genetics ·doi:10.1007/s10815-022-02707-6

PURPOSE: To determine if creating voting ensembles combining convolutional neural networks (CNN), support vector machine (SVM), and multi-layer neural networks (NN) alongside clinical parameters improves the accuracy of artificial intellige…

observational 2020
Examining Reproductive Health Outcomes in Females Exposed to Polychlorinated Biphenyl and Polybrominated Biphenyl
Scientific reports ·doi:10.1038/s41598-020-60234-9

In 1973, accidental contamination of Michigan livestock with polybrominated biphenyls (PBBs) led to the establishment of a registry of exposed individuals that have been followed for > 40 years. Besides being exposed to PBBs, this cohort ha…

2019
Accuracy of self-reported menstrual cycle characteristics and infertility in a cohort highly exposed to endocrine-disrupting compounds (EDCs)
·doi:10.1016/j.fertnstert.2019.07.983