Don Perugini
Adelaide, SA, Australia
Last Updated: 09/26/2026
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Found 8 publications
Use of federated learning to develop an artificial intelligence model predicting usable blastocyst formation from pre-ICSI oocyte images.
Journal: Reproductive biomedicine online
Published: March 15, 2024
Efficient automated error detection in medical data using deep-learning and label-clustering.
Journal: Scientific reports
Published: June 15, 2023
An artificial intelligence model correlated with morphological and genetic features of blastocyst quality improves ranking of viable embryos.
Journal: Reproductive biomedicine online
Published: May 02, 2022
A novel decentralized federated learning approach to train on globally distributed, poor quality, and protected private medical data.
Journal: Scientific reports
Published: February 18, 2022
Development of an artificial intelligence model for predicting the likelihood of human embryo euploidy based on blastocyst images from multiple imaging systems during IVF.
Journal: Human reproduction (Oxford, England)
Published: January 02, 2022
Automated detection of poor-quality data: case studies in healthcare.
Journal: Scientific reports
Published: April 19, 2021
Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF.
Journal: Human reproduction (Oxford, England)
Published: October 13, 2019
Showing 1-8 of 8
Last Updated: 09/26/2026