Efficient automated error detection in medical data using deep-learning and label-clustering

por Nguyen, T. V., Diakiw, S. M., VerMilyea, M. D., Dinsmore, A. W., Perugini, M., Perugini, D., Hall, J. M. M.
Publicado 2023

A novel decentralized federated learning approach to train on globally distributed, poor quality, and protected private medical data

por Nguyen, T. V., Dakka, M. A., Diakiw, S. M., VerMilyea, M. D., Perugini, M., Hall, J. M. M., Perugini, D.
Publicado 2022

Automated detection of poor-quality data: case studies in healthcare

por Dakka, M. A., Nguyen, T. V., Hall, J. M. M., Diakiw, S. M., VerMilyea, M., Linke, R., Perugini, M., Perugini, D.
Publicado 2021

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

por VerMilyea, M, Hall, J M M, Diakiw, S M, Johnston, A, Nguyen, T, Perugini, D, Miller, A, Picou, A, Murphy, A P, Perugini, M
Publicado 2020

Comprehensive assessment of cryogenic storage risk and quality management concerns: best practice guidelines for ART labs

por Schiewe, M. C., Freeman, M., Whitney, J. B., VerMilyea, M. D., Jones, A., Aguirre, M., Leisinger, C., Adaniya, G., Synder, N., Chilton, R., Behnke, E. J.
Publicado 2018

Development of an artificial intelligence model for predicting the likelihood of human embryo euploidy based on blastocyst images from multiple imaging systems during IVF

por Diakiw, S M, Hall, J M M, VerMilyea, M D, Amin, J, Aizpurua, J, Giardini, L, Briones, Y G, Lim, A Y X, Dakka, M A, Nguyen, T V, Perugini, D, Perugini, M
Publicado 2022