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M D VerMilyea

Showing results (1-10 of 5) with videos related to

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Scientific Reports|May 25, 2022
A novel decentralized federated learning approach to train on globally distributed, poor quality, and protected private medical dataT V Nguyen, M A Dakka, S M Diakiw, et al.
Scientific Reports|December 19, 2023
Author Correction: Efficient automated error detection in medical data using deep-learning and label-clusteringT V Nguyen, S M Diakiw, M D VerMilyea, et al.
Scientific Reports|November 10, 2023
Efficient automated error detection in medical data using deep-learning and label-clusteringT V Nguyen, S M Diakiw, M D VerMilyea, et al.
Journal of Assisted Reproduction and Genetics|September 21, 2018
Comprehensive assessment of cryogenic storage risk and quality management concerns: best practice guidelines for ART labsM C Schiewe, M Freeman, J B Whitney, et al.
Human Reproduction (Oxford, England)|June 8, 2022
Development of an artificial intelligence model for predicting the likelihood of human embryo euploidy based on blastocyst images from multiple imaging systems during IVFS M Diakiw, J M M Hall, M D VerMilyea, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Scientific Reports|May 25, 2022
A novel decentralized federated learning approach to train on globally distributed, poor quality, and protected private medical dataT V Nguyen, M A Dakka, S M Diakiw, et al.
Scientific Reports|December 19, 2023
Author Correction: Efficient automated error detection in medical data using deep-learning and label-clusteringT V Nguyen, S M Diakiw, M D VerMilyea, et al.
Scientific Reports|November 10, 2023
Efficient automated error detection in medical data using deep-learning and label-clusteringT V Nguyen, S M Diakiw, M D VerMilyea, et al.
Journal of Assisted Reproduction and Genetics|September 21, 2018
Comprehensive assessment of cryogenic storage risk and quality management concerns: best practice guidelines for ART labsM C Schiewe, M Freeman, J B Whitney, et al.
Human Reproduction (Oxford, England)|June 8, 2022
Development of an artificial intelligence model for predicting the likelihood of human embryo euploidy based on blastocyst images from multiple imaging systems during IVFS M Diakiw, J M M Hall, M D VerMilyea, et al.
Pageof 1