Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

HMS faculty, help us improve the algorithms in Profiles by uploading your CV!

Irene Dimitriadis, M.D.

Co-Author

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

2.631
  1. Artificial intelligence in the embryology laboratory: a review. Reprod Biomed Online. 2022 Mar; 44(3):435-448.
    View in: PubMed
    Score: 0.940
  2. The effect of semen collection at home on intrauterine insemination outcomes. Andrology. 2022 07; 10(5):863-870.
    View in: PubMed
    Score: 0.242
  3. 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: 0.229
  4. 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: 0.226
  5. 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: 0.217
  6. Consistency and objectivity of automated embryo assessments using deep neural networks. Fertil Steril. 2020 04; 113(4):781-787.e1.
    View in: PubMed
    Score: 0.210
  7. 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: 0.183
  8. 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
  9. 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: 0.057
  10. 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: 0.056
  11. 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
  12. 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: 0.055
  13. 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: 0.052
  14. 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
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.