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Reproductive Biomedicine Online
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November 10, 2021
Will the introduction of automated ART laboratory systems render the majority of embryologists redundant?
Lorena Bori, Marcos Meseguer
Computer Methods and Programs in Biomedicine
|
May 24, 2022
Automatic characterization of human embryos at day 4 post-insemination from time-lapse imaging using supervised contrastive learning and inductive transfer learning techniques
Elena Payá, Lorena Bori, Adrián Colomer, et al.
Fertility and Sterility
|
May 22, 2025
Progestin prime ovarian stimulation provides comparable outcomes to GnRH antagonist in donor cycles with vitrified oocytes
Lucía Murria, Juan Giles, Lorena Bori, et al.
F&S Science
|
July 2, 2023
Deep learning system for classification of ploidy status using time-lapse videos
Elena Paya, Cristian Pulgarín, Lorena Bori, et al.
Human Reproduction (Oxford, England)
|
June 13, 2025
Predicting time to live birth with deep learning embryo ranking: a novel multiple imputation approach
Lorena Bori, Martin Nygård Johansen, Jørgen Berntsen, et al.
Fertility and Sterility
|
October 16, 2024
External validation of a fully automated evaluation tool: a retrospective analysis of 68,471 scored embryos
Lorena Bori, Marco Toschi, Rebeca Esteve, et al.
Human Reproduction (Oxford, England)
|
April 18, 2022
The higher the score, the better the clinical outcome: retrospective evaluation of automatic embryo grading as a support tool for embryo selection in IVF laboratories
Lorena Bori, Fernando Meseguer, M Angeles Valera, et al.
Human Reproduction (Oxford, England)
|
July 29, 2022
A propensity score-based, comparative study assessing humid and dry time-lapse incubation, with single-step medium, on embryo development and clinical outcomes
María Ángeles Valera, Carmela Albert, Julián Marcos, et al.
Asian Journal of Andrology
|
October 19, 2016
Sperm kinematic, head morphometric and kinetic-morphometric subpopulations in the blue fox (<i>Alopex lagopus</i>)
Carles Soler, Jesús Contell, Lorena Bori, et al.
Fertility and Sterility
|
September 12, 2020
Novel and conventional embryo parameters as input data for artificial neural networks: an artificial intelligence model applied for prediction of the implantation potential
Lorena Bori, Elena Paya, Lucia Alegre, et al.
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of 2
Search research articles
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Showing results (1-10 of 17) with videos related to
Sort By:
Page
of 2
Reproductive Biomedicine Online
|
November 10, 2021
Will the introduction of automated ART laboratory systems render the majority of embryologists redundant?
Lorena Bori, Marcos Meseguer
Computer Methods and Programs in Biomedicine
|
May 24, 2022
Automatic characterization of human embryos at day 4 post-insemination from time-lapse imaging using supervised contrastive learning and inductive transfer learning techniques
Elena Payá, Lorena Bori, Adrián Colomer, et al.
Fertility and Sterility
|
May 22, 2025
Progestin prime ovarian stimulation provides comparable outcomes to GnRH antagonist in donor cycles with vitrified oocytes
Lucía Murria, Juan Giles, Lorena Bori, et al.
F&S Science
|
July 2, 2023
Deep learning system for classification of ploidy status using time-lapse videos
Elena Paya, Cristian Pulgarín, Lorena Bori, et al.
Human Reproduction (Oxford, England)
|
June 13, 2025
Predicting time to live birth with deep learning embryo ranking: a novel multiple imputation approach
Lorena Bori, Martin Nygård Johansen, Jørgen Berntsen, et al.
Fertility and Sterility
|
October 16, 2024
External validation of a fully automated evaluation tool: a retrospective analysis of 68,471 scored embryos
Lorena Bori, Marco Toschi, Rebeca Esteve, et al.
Human Reproduction (Oxford, England)
|
April 18, 2022
The higher the score, the better the clinical outcome: retrospective evaluation of automatic embryo grading as a support tool for embryo selection in IVF laboratories
Lorena Bori, Fernando Meseguer, M Angeles Valera, et al.
Human Reproduction (Oxford, England)
|
July 29, 2022
A propensity score-based, comparative study assessing humid and dry time-lapse incubation, with single-step medium, on embryo development and clinical outcomes
María Ángeles Valera, Carmela Albert, Julián Marcos, et al.
Asian Journal of Andrology
|
October 19, 2016
Sperm kinematic, head morphometric and kinetic-morphometric subpopulations in the blue fox (<i>Alopex lagopus</i>)
Carles Soler, Jesús Contell, Lorena Bori, et al.
Fertility and Sterility
|
September 12, 2020
Novel and conventional embryo parameters as input data for artificial neural networks: an artificial intelligence model applied for prediction of the implantation potential
Lorena Bori, Elena Paya, Lucia Alegre, et al.
Page
of 2