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

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

(2019) D Tran et al.   HUMAN REPRODUCTION

Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading

(2019) Jaakko Sahlsten et al.   Scientific Reports

Automatic grading of human blastocysts from time-lapse imaging

(2019) Mikkel F. Kragh et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Development of a decision tool to predict blastocyst formation

(2018) T.R. Segal et al.   FERTILITY AND STERILITY

Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

(2018) Christopher J L Murray et al.   LANCET

Inter-observer and intra-observer agreement between embryologists during selection of a single Day 5 embryo for transfer: a multicenter study

(2016) Ashleigh Storr et al.   HUMAN REPRODUCTION

Diagnosis of human preimplantation embryo viability

(2015) David K. Gardner et al.   HUMAN REPRODUCTION UPDATE

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

(2010) Connie C Wong et al.   NATURE BIOTECHNOLOGY

Ensemble-based classifiers

(2009) Lior Rokach   ARTIFICIAL INTELLIGENCE REVIEW