73 citations · 75 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.CV2019★ 73 cited
UnsuperPoint: End-to-end Unsupervised Interest Point Detector and Descriptor
Peter Hviid Christiansen, Mikkel Fly Kragh, Yury Brodskiy +1
It is hard to create consistent ground truth data for interest points in natural images, since interest points are hard to define clearly and consistently for a human annotator. Th…