Jonathan M. M. Hall

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

Matthew VerMilyea, Jonathan M. M. Hall, Sonya M. Diakiw et al. · Human Reproduction · 2020 · 326 citations · Full text

Veterinary Medicine, Computer Science, Gynecology +16

Fluorescent and lasing whispering gallery mode microresonators for sensing applications

Tess Reynolds, Nicolas Riesen, A. Meldrum et al. · Laser & Photonics Review · 2017 · 210 citations · Full text

Engineering, Electrical Engineering, Optics +15

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

Sonya M. Diakiw, Jonathan M. M. Hall, Matthew VerMilyea et al. · Human Reproduction · 2022 · 94 citations · Full text

Life Sciences, Developmental Biology, Genetics +17

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

Tuc Nguyen, M. Abou Dakka, Sonya M. Diakiw et al. · Scientific Reports · 2022 · 73 citations · Full text

Computing, Computer Science, Health Informatics +17

An artificial intelligence model correlated with morphological and genetic features of blastocyst quality improves ranking of viable embryos

Sonya M. Diakiw, Jonathan M. M. Hall, Matthew VerMilyea et al. · Reproductive BioMedicine Online · 2022 · 64 citations

Veterinary Medicine, Developmental Biology, Genetics +17