Mikkel Fly Kragh

Aarhus University — Denmark

Agricultural and Biological Sciences · Life Sciences

11h-index1.0kcitations29works0.52yr avg
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Research Topics

Smart Agriculture and AI(9), Reproductive Biology and Fertility(7), Assisted Reproductive Technology and Twin Pregnancy(7), Robotics and Sensor-Based Localization(6), Prenatal Screening and Diagnostics(5)

Publications29 total

High-speed camera system for efficient monitoring of invasive plant species along roadways
F1000Research·2024Open Access
High-speed camera system for efficient monitoring of invasive plant species along roadways
F1000Research·2024· 1 citedOpen Access
Comparing performance between clinics of an embryo evaluation algorithm based on time-lapse images and machine learning
Journal of Assisted Reproduction and Genetics·2023· 9 citedOpen Access
Development and validation of deep learning based embryo selection across multiple days of transfer
Scientific Reports·2023· 66 citedOpen Access
Development and validation of deep learning based embryo selection across multiple days of transfer
arXiv (Cornell University)·2022· 2 citedOpen Access
Does embryo categorization by existing artificial intelligence, morphokinetic or morphological embryo selection models correlate with blastocyst euploidy rates?
Reproductive BioMedicine Online·2022· 32 cited
Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences
PLoS ONE·2022· 132 citedOpen Access
FULL AUTOMATION OF EMBRYO EVALUATION MODELS BENEFITS FROM TRAINING ON BOTH TRANSFERRED AND DISCARDED EMBRYOS
Fertility and Sterility·2021· 1 citedOpen Access
O-123 Calibration of artificial intelligence (AI) models is necessary to reflect actual implantation probabilities with image-based embryo selection
Human Reproduction·2021· 2 cited
Embryo selection with artificial intelligence: how to evaluate and compare methods?
Journal of Assisted Reproduction and Genetics·2021· 111 citedOpen Access
OPENING THE BLACK BOX: RELATION BETWEEN AI PREDICTED EMBRYO IMPLANTATION AND TRADITIONAL MORPHOKINETIC AND MORPHOLOGICAL ANNOTATIONS
Fertility and Sterility·2020
Automatic grading of human blastocysts from time-lapse imaging
Computers in Biology and Medicine·2019· 128 citedOpen Access
Sparse-to-Dense Depth Completion in Precision Farming
Proceedings of the 3rd International Conference on Vision, Image and Signal Processing·2019· 2 cited
UnsuperPoint: End-to-end Unsupervised Interest Point Detector and Descriptor
arXiv (Cornell University)·2019· 73 citedOpen Access
Automatic morphological grading of human blastocysts with time-lapse imaging and artificial intelligence
2019Open Access
Towards Inverse Sensor Mapping in Agriculture
arXiv (Cornell University)·2018· 4 citedOpen Access
Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation
Frontiers in Robotics and AI·2018· 22 citedOpen Access
Lidar-based Obstacle Detection and Recognition for Autonomous Agricultural Vehicles
2018· 3 citedOpen Access
FieldSAFE: Dataset for Obstacle Detection in Agriculture
Sensors·2017· 72 citedOpen Access
Platform for evaluating sensors and human detection in autonomous mowing operations
Precision Agriculture·2017· 11 citedOpen Access
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Frequent Co-authors

Henrik Karstoft(11), Peter Christiansen(11), Jørgen Berntsen(10), Jens Rimestad(8), Rasmus Nyholm Jørgensen(8), Jacob Theilgaard Lassen(6), Timo Korthals(4), Anders Krogh Mortensen(3), Peter Ahrendt(3), Kim Arild Steen(3), Martin Berg Johansen(3), Keiichi Kato(2), Satoshi Ueno(2), Thorsten Jungeblut(2), Mads Dyrmann(2), Søren Skovsen(2), Stefan-Daniel Suvei(2), Peter Christiansen(2), Ulrik Pagh Schultz(2), Michael Riis Andersen(1)