List of Publications

  1. Fanton M, Nutting V, Rothman A, Maeder-York P, Hariton E, Barash O, Weckstein L, Sakkas D, Copperman AB, Loewke K. An interpretable machine learning model for individualized gonadotrophin starting dose selection during ovarian stimulation. Reproductive BioMedicine Online. 2022 Dec 1;45(6):1152-9.
  2. Fanton M, Sakkas D, Barash O, Weckstein L, Copperman A, Maeder-York P, Loewke K. AN INTERPRETABLE AND GENERALIZABLE MACHINE LEARNING MODEL FOR OPTIMIZING DAY OF TRIGGER DURING OVARIAN STIMULATION. Fertility and Sterility. 2022 Nov 1;118(5):e44.
  3. Cho JH, Miller KA, Hoffman D, Barash O, Weckstein L, Levy M, Copperman A, Maeder-York P, Loewke K. A STEPWISE APPROACH FOR ESTIMATING CUMULATIVE LIVE BIRTH RATES FOR PATIENTS CONSIDERING IVF. Fertility and Sterility. 2022 Nov 1;118(5):e35.
  4. Fanton M, Maeder-York P, Hariton E, Barash O, Weckstein L, Sakkas D, Copperman AB, Loewke K. An expected benefit analysis of using an interpretable machine learning model for optimizing the day of trigger during ovarian stimulation. InHUMAN REPRODUCTION 2022 Jul 1 (Vol. 37, pp. I470-I470). GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND: OXFORD UNIV PRESS.
  5. Cho JH, Ehlers A, Brumar C, Maeder-York P, Barash O, Malmsten J, Nikica Z, Sakkas D, Levy M, Miller K, VerMilyea MD. Large-scale simulation of pregnancy rate improvements using an AI model for embryo ranking. InHUMAN REPRODUCTION 2022 Jul 1 (Vol. 37, pp. 272-273). GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND: OXFORD UNIV PRESS.
  6. Cho JH, Brumar CD, Maeder-York P, Barash O, Malmsten J, Zaninovic N, Sakkas D, Miller K, Levy M, VerMilyea MD, Loewke K. Sensitivity analysis of an embryo grading artificial intelligence model to different focal planes. InHUMAN REPRODUCTION 2022 Jul 1 (Vol. 37, pp. 271-272). GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND: OXFORD UNIV PRESS.
  7. Fanton M, Tang J, Maeder-York P, Hariton E, Barash O, Weckstein L, Sakkas D, Copperman A, Loewke K. A combined expected benefit analysis of using two machine learning models for optimizing starting gonadotropin dose and day of trigger during ovarian stimulation. InHUMAN REPRODUCTION 2022 Jul 1 (Vol. 37, pp. I470-I470). GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND: OXFORD UNIV PRESS.
  8. Cho JH, Brumar CD, Maeder-York P, Barash O, Malmsten J, Zaninovic N, Sakkas D, Miller K, Levy M, VerMilyea MD, Loewke K. 38th Hybrid Annual Meeting of the ESHRE, Milan—Italy, 3–6 July 2022 i271.
  9. Fanton M, Tang J, Maeder-York P, Hariton E, Barash O, Weckstein L, Sakkas D, Copperman A, Loewke K. P-600 A combined expected benefit analysis of using two machine learning models for optimizing starting gonadotropin dose and day of trigger during ovarian stimulation. Human Reproduction. 2022 Jul;37(Supplement_1):deac107-552.
  10. Tang J, Fanton M, Maeder-York P, Hariton E, Barash O, Weckstein L, Sakkas D, Copperman A, Loewke K. O-014 An expected benefit analysis of using an interpretable machine learning model for gonadotropin starting dose selection during ovarian stimulation. Human Reproduction. 2022 Jul;37(Supplement_1):deac104-014.
  11. Cho JH, Ehlers A, Brumar C, Maeder-York P, Barash O, Malmsten J, Nikica Z, Sakkas D, Levy M, Miller K, VerMilyea MD. P-173 Large-scale simulation of pregnancy rate improvements using an AI model for embryo ranking. Human Reproduction. 2022 Jul;37(Supplement_1):deac107-168.
  12. Fanton M, Maeder-York P, Hariton E, Barash O, Weckstein L, Sakkas D, Copperman AB, Loewke K. P-599 An expected benefit analysis of using an interpretable machine learning model for optimizing the day of trigger during ovarian stimulation. Human Reproduction. 2022 Jul;37(Supplement_1):deac107-551.
  13. Fanton M, Nutting V, Solano F, Maeder-York P, Hariton E, Barash O, Weckstein L, Sakkas D, Copperman AB, Loewke K. An interpretable machine learning model for predicting the optimal day of trigger during ovarian stimulation. Fertility and sterility. 2022 Jul;118(1):101-8.
  14. Loewke K, Cho JH, Brumar CD, Maeder-York P, Barash O, Malmsten JE, Zaninovic N, Sakkas D, Miller KA, Levy M, VerMilyea MD. Characterization of an artificial intelligence model for ranking static images of blastocyst stage embryos. Fertility and Sterility. 2022 Mar 1;117(3):528-35.
  15. Loewke KE, Nutting VI, Cho JH, Barash OO, Weckstein LN. A MACHINE LEARNING APPROACH FOR FORECASTING FOLLICLE GROWTH AND PREDICTING THE OPTIMAL DAY OF TRIGGER DURING OVARIAN STIMULATION. Fertility and Sterility. 2021 Sep 1;116(3):e101-2.
  16. Loewke KE, Cho JH, Maeder-York P, Barash OO, Meseguer M, Malmsten J, Miller KA, Sakkas D, Levy M, VerMilyea MD. IDENTIFYING POTENTIAL SOURCES OF BIAS IN DEEP LEARNING MODELS FOR EMBRYO ASSESSMENT. Fertility and Sterility. 2021 Sep 1;116(3):e158-9.
  17. Loewke KE, Cho JH, Maeder-York P, Barash OO, Meseguer M, Zaninovic N, Miller KA, Sakkas D, Levy M, VerMilyea MD. A GENERALIZABLE MODEL FOR RANKING BLASTOCYST STAGE EMBRYOS USING DEEP LEARNING. Fertility and Sterility. 2021 Sep 1;116(3):e152.
  18. O. Barash, K. A. Ivani, D. S. Wachs, L. N. Weckstein. LOW EUPLOIDY RATE DOES NOT AFFECT CLINICAL OUTCOMES IN IVF PGT CYCLES WITH SINGLE EMBRYO TRANSFER (SET) – A 2391 SETS REVIEW. Fertility and Sterility. 2020 -e291-e292
  19. Barash O, Ivani K, Hinckley M, Wachs D, Homer M, Reid P, Weckstein L. Predicting the euplody status of the embryos by using evolutionary algorithm in IVF PGT cycles-A 10793 embryos review: O-290. Human Reproduction. 2019 Jul;34.
  20. Barash OO, Ivani KA, Willman SP, Huen N, Homer MV, Weckstein LN. Model ensembling and synthetic features in PGS cycles with single embryo transfer. InHUMAN REPRODUCTION 2018 Jul 1 (Vol. 33, pp. 417-417). GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND: OXFORD UNIV PRESS.
  21. Barash O, Ivani K, Weckstein L, Hinckley M. High accuracy machine learning predictive model for embryo selection in IVF PGT cycles with single embryo transfers. Fertility and Sterility. 2018 Sep 1;110(4):e372.
  22. O. Barash, S. P. Willman, K. A. Ivani, D. S. Wachs, F. B. Rabara, N. Huen, L. N. Weckstein. Single embryo transfer as an imperative choice for patients over 38 years old in autologous IVF PGS cycles. Reproductive BioMedicine Online, 2018. 36, e29-e30. 
  23. Barash OO, Hinckley MD, Rosenbluth EM, Ivani KA, Weckstein LN. High gonadotropin dosage does not affect euploidy and pregnancy rates in IVF PGS cycles with single embryo transfer. Human Reproduction. 2017 Oct 12;32(11):2209-17.
  24. Barash OO, Ivani KA, Willman SP, Rosenbluth EM, Wachs DS, Hinckley MD, Reid SP, Weckstein LN. Association between growth dynamics, morphological parameters, the chromosomal status of the blastocysts, and clinical outcomes in IVF PGS cycles with single embryo transfer. Journal of assisted reproduction and genetics. 2017 Aug 1;34(8):1007-16.
  25. Barash O, Ivani K, Huen N, Willman S, Weckstein L. Morphology of the blastocysts is the single most important factor affecting clinical pregnancy rates in IVF PGS cycles with single embryo transfers. Fertility and Sterility. 2017 Sep 1;108(3):e99.
  26. O. Barash, K.A. Ivani, M.D. Hinckley, S.P. Willman, F. Rabara, N. Huen, L.N. Weckstein. Impact of embryo morphology on clinical pregnancy rates in IVF PGS cycles with single embryo transfer. Fertility and Sterility. 2017 Mar 1;107(3):e18-9.
  27. Barash OO, Ivani KA, Willman SP, Hinckley MD, Wachs DS, et al. (2016) Clinical Pregnancy Rates after Elective versus Non-Elective Single Embryo Transfer in PGS Cycles. JFIV Reprod Med Genet 4:195. doi:10.4172/2375-4508.1000195
  28. Barash O, Ivani K, Weckstein L, Willman S, Rosenbluth E, Wachs D, Hinckley M. Assosiation between high gonadotropin dosage, euploidy and pregnancy rates in PGT cycles. Fertility and Sterility. 2016 Sep 1;106(3):e154.
  29. Barash O, Ivani K, Willman S, Weckstein L, Rosenbluth E, Wachs D, Hinckley M. Clinical pregnancy rates after elective versus non-elective single embryo transfer in PGT cycles. Fertility and Sterility. 2016 Sep 1;106(3):e25-6.
  30. O. Barash, K. A. Ivani, S.P. Willman, N. Huen, S. C. Lefk, C. F. Mackenzie, L. N. Weckstein. High gonadotropin dosage does not affect euploidy and pregnancy rates in PGT cycles. Abstract book of the 32st ESHRE Annual Meeting. Hum. Reprod. 2016, Volume 31 (suppl 1): i220.
  31. Barash O, Ivani K, Willman S, Weckstein L, Rosenbluth E, Wachs D, Hinckley M. Comparison of clinical pregnancy rates after single embryo transfer of day 5 versus day 6 euploid embryo. Fertility and Sterility. 2015 Sep 1;104(3):e94.
  32. O. Barash, K. A. Ivani, N. Huen, S. C. Lefko, C. F. Mackenzie, L. N. Weckstein. Association between blastocyst morphology and euploidy rates in different age groups analyzed by aCGH and SNP PGD. Abstract book of the 31st ESHRE Annual Meeting, Lisbon, Portugal, 14–17 June 2015. Hum. Reprod. (2015) 30 (suppl 1): i379.
  33. O. Barash, K. A. Ivani, S. C. Lefko, C. F. Mackenzie, N. Huen, S. P. Willman, L. N. Weckstein. Top quality embryos from patients under 38 years old have euploidy rates similar to euploidy rates in donor oocyte cycles. Preimplantation Genetics Diagnosis International Society, 2015.
  34. Mary deRaime Hinckley, Salustiano Ribeiro, Oleksii Barash. In Search of a Cost-Effective Flare Protocol for Poor Responders. Fertility and Sterility, Vol. 103, Issue 2, e32
  35. O. Barash, K.A. Ivani, S.P. Willman, C. MacKenzie, S.C. Lefko, L.N. Weckstein. Clinical Pregnancy Rate after Single Euploid Embryo Transfer is Age Independent. Fertility and Sterility, Vol. 103, Issue 2, e10
  36. O. Barash, K.A. Ivani, S.P. Willman, N. Huen, L.N. Weckstein, S.C. Lefko. Comparison of blastocyst morphology and euploidy rates analyzed by snp and aCGH PGS – 1003 embryos review. Fertility and Sterility, Vol. 102, Issue 3, e182–e183.
  37. O. Barash, K.A. Ivani, S.P. Willman, N. Huen, L.N. Weckstein, S.C. Lefko. Blastocysts available for biopsy on day 5 are more likely to result in a viable pregnancy. Fertility and Sterility, 2014, Vol. 102, Issue 3, e62
  38. Elder K, Dale B. In-vitro fertilization. Cambridge University Press; 2010. Contributions on p. 285-287.
  39. Kremenskoy M., Barash O., Kremenska Y., Semenyuk L., Zukin V.. «Correlation between preimplantation genetic screening for chromosomal aneuploidies and amount of embryos in IVF cycles». 10-th International Congress Preimplantation Genetic Diagnosis. Reproductive BioMedicine Online, 2010, Vol. 20, S24.
  40. Barash, V. Zukin. Gamete and embryo selection in oocyte donation programs // Abstracts book. The 9th Annual Meeting of the Mediterranean Society for Reproductive Medicine. – 2011. – Reproductive BioMedicine Online, Vol. 22, S96
  41. Barash O. IMSI scoring as additional option for sever male factor infertility treatment // Тези доповідей XIІІ Міжнародної науково практичної конференції “Екологія. Людина. Суспільство”. – 2010. – С. 31.
  42. Barash O. Correlation between IMSI scoring and chromosomal aberrations in a group of patients with failed ICSI cycles // Здоровье женщины. – 2009. – № 39. – С. 219.
  43. Barash O. Effectiveness of ART treatment using ICSI and IMSI in sibling oocyte study // Abstract book. American Society for Reproductive Medicine, 64th Annual Meeting. – 2008. – С. S12.
  44. Bilko, A. Barash, N. Bilko. Novel ideas and implementation of the gel diffusion capsules in diagnosis and treatment of the hematopoietic disorders // Abstract book. Modern Trends in Human Leukemia. XVII. Wilsede Meeting, Germany, June 14-18, 2008. – P. 150.
  45. Barash, A. Baranenko, I. Sudoma. HLA-G screening of blastocysts after cryopreservation // Abstract book. The 9th World congress of on controversies in obstetrics gynecology and infertility, Barcelona, Spain, March 22-25, 2007, – P. A-63.  
  46. Bilko D.I., Vasilovska S.V., Doroshenko O.J., Barash A.A., Votjakova I.A., Bilko N.M. Embryoid Bodies in long-term culture as resourse of hematopoietic progenitor cells // Abstract Book. Modern Trends in Human Leukemia. XVI. Wilsede Meeting, Germany, June 18-22, 2005. – P. 75.
  47. Bilko, I. Votyakova, S.Vasylovska, D.Bilko, O.Doroshenko, O.Barash. Characteristics of interaction between stromal and hematopoietic progenitor cells in cell culture in vitro // Тези доповідей Першого установчого з’їзду Українського товариства клітинної біології, Львів, 2004.- С. 255.