Harnessing cytoplasmic particles movement of the human early embryo analysed by advanced imaging and artificial intelligence to predict development to blastocyst stage

Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF

(2020) M VerMilyea et al.   HUMAN REPRODUCTION

Weighted kNN and Constrained Elastic Distances for Time-Series Classification

(2020) Zoltan Geler et al.   EXPERT SYSTEMS WITH APPLICATIONS

Controversies in ART: Considerations and Risks for Uninterrupted Embryo Culture

(2019) Jason E. Swain   REPRODUCTIVE BIOMEDICINE ONLINE

Artificial intelligence and machine learning for human reproduction and embryology presented at ASRM and ESHRE 2018

(2019) Carol Lynn Curchoe et al.   JOURNAL OF ASSISTED REPRODUCTION AND GENETICS

Time-Lapse Imaging: The State of the Art.

(2019) Raquel Del Gallego et al.   BIOLOGY OF REPRODUCTION

Embryo development stage prediction algorithm for automated time lapse incubators

(2019) D. Dirvanauskas et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer

(2019) D Tran et al.   HUMAN REPRODUCTION

Cumulative live birth rate in freeze-all cycles is comparable to that of a conventional embryo transfer policy at the cleavage stage but superior at the blastocyst stage

(2018) Carlotta Zacà et al.   FERTILITY AND STERILITY

Istanbul consensus workshop on embryo assessment: proceedings of an expert meeting

(2018) Alpha Scientists in Reproductive Medicine et al.   REPRODUCTIVE BIOMEDICINE ONLINE

The practical implementation of artificial intelligence technologies in medicine

(2018) Jianxing He et al.   NATURE MEDICINE

A novel non-parametric method for time series classification based on k-Nearest Neighbors and Dynamic Time Warping Barycenter Averaging

(2018) Tuan Minh Tran et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Focused time-lapse analysis reveals novel aspects of human fertilization and suggests new parameters of embryo viability

(2017) G Coticchio et al.   HUMAN REPRODUCTION

Cytoplasmic movement profiles of mouse surrounding nucleolus and not-surrounding nucleolus antral oocytes during meiotic resumption

(2017) Thi Thu Hien Bui et al.   MOLECULAR REPRODUCTION AND DEVELOPMENT

Embryo selection using time-lapse analysis (Early Embryo Viability Assessment) in conjunction with standard morphology: a prospective two-center pilot study

(2016) Dorit C. Kieslinger et al.   HUMAN REPRODUCTION

Comparison of different weighting schemes for the kNN classifier on time-series data

(2015) Zoltan Geler et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Improving embryo selection using a computer-automated time-lapse image analysis test plus day 3 morphology: results from a prospective multicenter trial

(2013) Joe Conaghan et al.   FERTILITY AND STERILITY

Sequential actin-based pushing forces drive meiosis I chromosome migration and symmetry breaking in oocytes

(2013) Kexi Yi et al.   JOURNAL OF CELL BIOLOGY

Artificial intelligence techniques for embryo and oocyte classification

(2012) Claudio Manna et al.   REPRODUCTIVE BIOMEDICINE ONLINE

The use of morphokinetics as a predictor of embryo implantation

(2011) M. Meseguer et al.   HUMAN REPRODUCTION

Rhythmic actomyosin-driven contractions induced by sperm entry predict mammalian embryo viability

(2011) Anna Ajduk et al.   Nature Communications

Non-invasive imaging of human embryos before embryonic genome activation predicts development to the blastocyst stage

(2010) Connie C Wong et al.   NATURE BIOTECHNOLOGY