L. Bori

发表

Sperm chromosomal abnormalities and their contribution to human embryo aneuploidy

V. Peinado, A. Mercader, M. Meseguer, 2019, Biology of Reproduction.

Automatic characterization of human embryos at day 4 post-insemination from time-lapse imaging using supervised contrastive learning and inductive transfer learning techniques

Adrián Colomer, V. Naranjo, M. Meseguer, 2022, Comput. Methods Programs Biomed..

EXPLORING AUTOMATION OF THE EMBRYO EVALUATION PROCESS BY USING NOVEL DEEP LEARNING-BASED METHODS

Adrián Colomer, Valery Naranjo, Marcos Meseguer, 2021, Fertility and Sterility.

An artificial intelligence model based on the proteomic profile of euploid embryos and blastocyst morphology: a preliminary study.

M. Meseguer, A. Quiñonero, F. Domínguez, 2020, Reproductive biomedicine online.

A propensity score-based, comparative study assessing humid and dry time-lapse incubation, with single-step medium, on embryo development and clinical outcomes.

M. Meseguer, Z. Larreategui, C. Albert, 2022, Human reproduction.

Novel and conventional embryo parameters as input data for artificial neural networks: an artificial intelligence model applied for prediction of the implantation potential.

V. Naranjo, M. Meseguer, J. Remohi, 2020, Fertility and sterility.

CAN COMPUTER VISION ALGORITHMS NONINVASIVELY RECOGNIZE ANEUPLOIDY IN BLASTOCYSTS?: "PUMPING" APPEARS TO BE A STRONG PREDICTIVE FEATURE

Nina Desai, Marcos Meseguer, Ron Maor, 2021, Fertility and Sterility.

COULD THE EMA ARTIFICIAL NEURAL NETWORK GRADE BLASTOCYSTS AS AN EMBRYOLOGIST?

Marcos Meseguer, Ron Maor, Daniella Gilboa, 2021, Fertility and Sterility.

ARTIFICIAL INTELLIGENCE IS MOVING CLOSER TO REPRODUCTIVE MEDICINE: PREDICTION OF BLASTULATION AND EMBRYO IMPLANTATION

M. Meseguer, R. Maor, D. Gilboa, 2021, Fertility and Sterility.

O-085 In-depth analysis of embryo development: Differences among monosomic, trisomic and chromosomally chaotic embryos compared to euploid embryos

M. Meseguer, R. Maor, L. Bori, 2021, Human Reproduction.

Sperm kinematic, head morphometric and kinetic-morphometric subpopulations in the blue fox (Alopex lagopus)

A. Valverde, A. García-Molina, C. Soler, 2016, Asian journal of andrology.

O-084 Computer vision can distinguish between euploid and aneuploid embryos. A novel artificial intelligence (AI) approach to measure cell division activity associated with chromosomal status

M. Meseguer, R. Maor, L. Bori, 2021, Human Reproduction.

P-203 Applying artificial intelligence for ploidy prediction: The concentration of IL-6 in spent culture medium, blastocyst morphological grade and embryo morphokinetics as variables under consideration

M. Meseguer, A. Quiñonero, L. Bori, 2021, Human Reproduction.

FIRST APPLICATION OF ARTIFICIAL NEURONAL NETWORKS FOR HUMAN LIVE BIRTH PREDICTION ON GERI TIME-LAPSE MONITORING SYSTEM BLASTOCYST IMAGES

André Satoshi Ferreira, M. Meseguer, J. C. Rocha, 2020 .

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.

M. Meseguer, A. Galán, L. Bori, 2022, Human reproduction.

An image processing protocol to extract variables predictive of human embryo fitness for assisted reproduction

André Satoshi Ferreira, Rebeca Colauto Milanezi de Souza, J. C. Rocha, 2022, medRxiv.

P-277 An artificial intelligence (AI) deselection model for top-quality blastocysts: algorithmic analysis of morphokinetic features for aneuploidy may increase implantation rates

M. Meseguer, A. Pellicer, R. Maor, 2022, Human Reproduction.