162 citations · 164 across the 2 of their papers we have counts for
2 papers
q-bio.QM2022★ 2 cited
Development and validation of deep learning based embryo selection across multiple days of transfer
Jacob Theilgaard Lassen, Mikkel Fly Kragh, Jens Rimestad +2
This work describes the development and validation of a fully automated deep learning model, iDAScore v2.0, for the evaluation of embryos incubated for 2, 3, and 5 or more days. Th…
cs.LG2021★ 162 cited
Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences
Jørgen Berntsen, Jens Rimestad, Jacob Theilgaard Lassen +2
Assessing and selecting the most viable embryos for transfer is an essential part of in vitro fertilization (IVF). In recent years, several approaches have been made to improve and…