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Oleksii Barash
Oleksii Barash
Reproductive Science Center of the San Francisco Bay Area
Verified email at rscbayarea.com
Title
Cited by
Cited by
Year
High gonadotropin dosage does not affect euploidy and pregnancy rates in IVF PGS cycles with single embryo transfer
OO Barash, MD Hinckley, EM Rosenbluth, KA Ivani, LN Weckstein
Human Reproduction 32 (11), 2209-2217, 2017
722017
Association between growth dynamics, morphological parameters, the chromosomal status of the blastocysts, and clinical outcomes in IVF PGS cycles with single embryo transfer
OO Barash, KA Ivani, SP Willman, EM Rosenbluth, DS Wachs, ...
Journal of assisted reproduction and genetics 34, 1007-1016, 2017
422017
Characterization of an artificial intelligence model for ranking static images of blastocyst stage embryos
K Loewke, JH Cho, CD Brumar, P Maeder-York, O Barash, JE Malmsten, ...
Fertility and Sterility 117 (3), 528-535, 2022
282022
An interpretable machine learning model for predicting the optimal day of trigger during ovarian stimulation
M Fanton, V Nutting, F Solano, P Maeder-York, E Hariton, O Barash, ...
Fertility and Sterility 118 (1), 101-108, 2022
232022
An interpretable machine learning model for individualized gonadotrophin starting dose selection during ovarian stimulation
M Fanton, V Nutting, A Rothman, P Maeder-York, E Hariton, O Barash, ...
Reproductive BioMedicine Online 45 (6), 1152-1159, 2022
122022
Morphology of the blastocysts is the single most important factor affecting clinical pregnancy rates in IVF PGS cycles with single embryo transfers
O Barash, K Ivani, N Huen, S Willman, L Weckstein
Fertility and Sterility 108 (3), e99, 2017
72017
Impact of embryo morphology on clinical pregnancy rates in IVF PGS cycles with single embryo transfer
OO Barash, KA Ivani, MD Hinckley, SP Willman, F Rabara, N Huen, ...
Fertility and Sterility 107 (3), e18-e19, 2017
32017
Association between blastocyst morphology and euploidy rates in different age groups analyzed by aCGH and SNP PGD
OO Barash, KA Ivani, N Huen, SC Lefko, CF Mackenzie, LN Weckstein
Human Reproduction 30, 379-379, 2015
22015
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
M Fanton, J Tang, P Maeder-York, E Hariton, O Barash, L Weckstein, ...
Human Reproduction 37 (Supplement_1), deac107. 552, 2022
12022
High accuracy machine learning predictive model for embryo selection in IVF PGT cycles with single embryo transfers
O Barash, K Ivani, L Weckstein, M Hinckley
Fertility and Sterility 110 (4), e372, 2018
12018
Single embryo transfer as an imperative choice for patients over 38 years old in autologous IVF PGS cycles
O Barash, S Willman, K Ivani, D Wachs, F Rabara, L Weckstein
Reproductive BioMedicine Online 36, e29-e30, 2018
12018
Assosiation between high gonadotropin dosage, euploidy and pregnancy rates in PGT cycles
O Barash, K Ivani, L Weckstein, S Willman, E Rosenbluth, D Wachs, ...
Fertility and Sterility 106 (3), e154, 2016
12016
Clinical Pregnancy Rate after Single Euploid Embryo Transfer is Age Independent
OO Barash, KA Ivani, SP Willman, C MacKenzie, SC Lefko, LN Weckstein
Fertility and Sterility 103 (2), e10, 2015
12015
CLINICAL EVALUATION OF A MACHINE LEARNING MODEL FOR EMBRYO SELECTION: A DOUBLE-BLINDED RANDOMIZED COMPARATIVE READER STUDY
OO Barash, FM Armijo, JH Cho, V Suraj, KE Loewke, JE Swain, KA Miller, ...
Fertility and Sterility 120 (4), e1, 2023
2023
AUTOMATED MORPHOLOGY GRADING OF BLASTOCYST STAGE EMBRYOS FROM A SINGLE IMAGE USING DEEP LEARNING
Z Chang, JH Cho, D Sakkas, KA Miller, M VerMilyea, OO Barash, ...
Fertility and Sterility 120 (4), e110, 2023
2023
ASSOCIATION BETWEEN INITIAL Β-HCG VALUES AND CLINICAL OUTCOMES–A 10,985 CYCLES REVIEW
OO Barash, MD Hinckley, E Hariton, DS Wachs, MV Homer
Fertility and Sterility 120 (1), e62-e63, 2023
2023
AN ARTIFICIAL INTELLIGENCE MODEL TO PREDICT UPCOMING EMBRYOLOGY WORKLOAD FOR PATIENTS UNDERGOING OVARIAN STIMULATION
M Fanton, D Sakkas, O Barash, L Weckstein, A Copperman, K Loewke
Fertility and Sterility 120 (1), e56-e57, 2023
2023
AN INTERPRETABLE AND GENERALIZABLE MACHINE LEARNING MODEL FOR OPTIMIZING DAY OF TRIGGER DURING OVARIAN STIMULATION
M Fanton, D Sakkas, O Barash, L Weckstein, A Copperman, ...
Fertility and Sterility 118 (5), e44, 2022
2022
A STEPWISE APPROACH FOR ESTIMATING CUMULATIVE LIVE BIRTH RATES FOR PATIENTS CONSIDERING IVF
JH Cho, KA Miller, D Hoffman, O Barash, L Weckstein, M Levy, ...
Fertility and Sterility 118 (5), e35, 2022
2022
An expected benefit analysis of using an interpretable machine learning model for optimizing the day of trigger during ovarian stimulation
M Fanton, P Maeder-York, E Hariton, O Barash, L Weckstein, D Sakkas, ...
HUMAN REPRODUCTION 37, I470-I470, 2022
2022
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