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Irene Dimitriadis, M.D.

Co-Author

This page shows the publications co-authored by Irene Dimitriadis and Irene Souter.
Connection Strength

2.564
  1. Racial Disparities in Fertility Care: an Analysis of 4537 Intrauterine Insemination Cycles. J Racial Ethn Health Disparities. 2017 04; 4(2):169-177.
    View in: PubMed
    Score: 0.636
  2. Response to ovulation induction treatments in women with polycystic ovary syndrome as a function of serum anti-Müllerian hormone levels. J Assist Reprod Genet. 2021 Jul; 38(7):1827-1833.
    View in: PubMed
    Score: 0.227
  3. Pretreatment antimüllerian hormone levels and outcomes of ovarian stimulation with gonadotropins/intrauterine insemination cycles. Fertil Steril. 2021 08; 116(2):422-430.
    View in: PubMed
    Score: 0.226
  4. A patient-specific model combining antimüllerian hormone and body mass index as a predictor of polycystic ovary syndrome and other oligo-anovulation disorders. Fertil Steril. 2021 01; 115(1):229-237.
    View in: PubMed
    Score: 0.218
  5. The impact of male factor infertility on early and late morphokinetic parameters: a retrospective analysis of 4126 time-lapse monitored embryos. Hum Reprod. 2020 01 01; 35(1):24-31.
    View in: PubMed
    Score: 0.207
  6. The effect of follicular phase length on cycle outcomes and endometrial development in gonadotrophin ovarian stimulation/intrauterine insemination cycles. Reprod Biomed Online. 2020 Mar; 40(3):362-368.
    View in: PubMed
    Score: 0.206
  7. Elevated day 3 follicle-stimulating hormone in younger women: is gonadotropin stimulation/intrauterine insemination a good option? Am J Obstet Gynecol. 2014 Jul; 211(1):62.e1-8.
    View in: PubMed
    Score: 0.137
  8. The association of bisphenol-A urinary concentrations with antral follicle counts and other measures of ovarian reserve in women undergoing infertility treatments. Reprod Toxicol. 2013 Dec; 42:224-31.
    View in: PubMed
    Score: 0.134
  9. The effect of semen collection at home on intrauterine insemination outcomes. Andrology. 2022 07; 10(5):863-870.
    View in: PubMed
    Score: 0.060
  10. Should there be an "AI" in TEAM? Embryologists selection of high implantation potential embryos improves with the aid of an artificial intelligence algorithm. J Assist Reprod Genet. 2021 Oct; 38(10):2663-2670.
    View in: PubMed
    Score: 0.058
  11. Correction to: Deep learning early warning system for embryo culture conditions and embryologist performance in the ART laboratory. J Assist Reprod Genet. 2021 Jul; 38(7):1893.
    View in: PubMed
    Score: 0.057
  12. Deep learning early warning system for embryo culture conditions and embryologist performance in the ART laboratory. J Assist Reprod Genet. 2021 Jul; 38(7):1641-1646.
    View in: PubMed
    Score: 0.057
  13. Evaluation of deep convolutional neural networks in classifying human embryo images based on their morphological quality. Heliyon. 2021 Feb; 7(2):e06298.
    View in: PubMed
    Score: 0.056
  14. Performance of a deep learning based neural network in the selection of human blastocysts for implantation. Elife. 2020 09 15; 9.
    View in: PubMed
    Score: 0.054
  15. Consistency and objectivity of automated embryo assessments using deep neural networks. Fertil Steril. 2020 04; 113(4):781-787.e1.
    View in: PubMed
    Score: 0.053
  16. Development and evaluation of inexpensive automated deep learning-based imaging systems for embryology. Lab Chip. 2019 12 21; 19(24):4139-4145.
    View in: PubMed
    Score: 0.051
  17. Placental weight in relation to maternal and paternal preconception and prenatal urinary phthalate metabolite concentrations among subfertile couples. Environ Res. 2019 02; 169:272-279.
    View in: PubMed
    Score: 0.048
  18. The effect of day 2 versus day 3 embryo transfer on early pregnancy outcomes in women with a low yield of fertilized oocytes. J Assist Reprod Genet. 2018 May; 35(5):879-884.
    View in: PubMed
    Score: 0.046
  19. Urinary paraben concentrations and ovarian aging among women from a fertility center. Environ Health Perspect. 2013 Nov-Dec; 121(11-12):1299-305.
    View in: PubMed
    Score: 0.033
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.