Association between a deep learning-based scoring system with morphokinetics and morphological alterations in human embryos-Reference-Cited by-同舟云学术

Association between a deep learning-based scoring system with morphokinetics and morphological alterations in human embryos

Published:2022-12 Issue:6 Volume:45 Page:1124-1132
ISSN:1472-6483
Container-title:Reproductive BioMedicine Online
language:en
Short-container-title:Reproductive BioMedicine Online

Author:

Ezoe Kenji,Shimazaki Kiyoe,Miki Tetsuya,Takahashi Tsubasa,Tanimura Yuko,Amagai Ayumi,Sawado Ayano,Akaike Hikari,Mogi Mai,Kaneko Shigeru,Okimura Tadashi,Kato Keiichi^ORCID

Publisher

Elsevier BV

Subject

Developmental Biology,Reproductive Medicine,Obstetrics and Gynecology

Reference50 articles.

1. Interpretable, not black-box, artificial intelligence should be used for embryo selection;Afnan;Hum. Reprod. Open,2021

2. The human first cell cycle: impact on implantation;Aguilar;Reprod. Biomed. Online,2014

3. Good practice recommendations for the use of time-lapse technology;Apter;Hum. Reprod. Open,2020

4. The impact of pronuclei morphology and dynamicity on live birth outcome after time-lapse culture;Azzarello;Hum. Reprod.,2012

5. Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences;Berntsen;PLoS One,2022

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Embryo multinucleation: detection, possible origins, and implications for treatment;Human Reproduction;2024-08-22

2. Associations between the artificial intelligence scoring system and live birth outcomes in preimplantation genetic testing for aneuploidy cycles;Reproductive Biology and Endocrinology;2024-01-17

3. Correlations between a deep learning-based algorithm for embryo evaluation with cleavage-stage cell numbers and fragmentation;Reproductive BioMedicine Online;2023-12

4. Comparing performance between clinics of an embryo evaluation algorithm based on time-lapse images and machine learning;Journal of Assisted Reproduction and Genetics;2023-07-10

5. Development and validation of deep learning based embryo selection across multiple days of transfer;Scientific Reports;2023-03-14