162 citations · 278 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Multi-Modal Obstacle Detection in Unstructured Environments with Conditional Random Fields
Mikkel Kragh, James Underwood
Reliable obstacle detection and classification in rough and unstructured terrain such as agricultural fields or orchards remains a challenging problem. These environments involve l…