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ORCIDMikkel Kragh Hansen
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2020 – today
- 2022
[j6]Mikkel Fly Kragh
, Jens Rimestad, Jacob Theilgaard Lassen, Jørgen Berntsen, Henrik Karstoft:
Predicting Embryo Viability Based on Self-Supervised Alignment of Time-Lapse Videos. IEEE Trans. Medical Imaging 41(2): 465-475 (2022)- [i7]Jacob Theilgaard Lassen, Mikkel Fly Kragh, Jens Rimestad, Martin Nygård Johansen, Jørgen Berntsen:
Development and validation of deep learning based embryo selection across multiple days of transfer. CoRR abs/2210.02120 (2022) - 2021
- [i6]Jørgen Berntsen, Jens Rimestad, Jacob Theilgaard Lassen, Dang Tran, Mikkel Fly Kragh:
Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences. CoRR abs/2103.07262 (2021) - 2020
- [j5]Mikkel Kragh Hansen, James Patrick Underwood:
Multimodal obstacle detection in unstructured environments with conditional random fields. J. Field Robotics 37(1): 53-72 (2020)
2010 – 2019
- 2019
- [j4]Mikkel Fly Kragh, Jens Rimestad, Jørgen Berntsen, Henrik Karstoft:
Automatic grading of human blastocysts from time-lapse imaging. Comput. Biol. Medicine 115 (2019) - [c2]Sadaf Farkhani, Mikkel Fly Kragh, Peter Hviid Christiansen, Rasmus Nyholm Jørgensen, Henrik Karstoft:
Sparse-to-Dense Depth Completion in Precision Farming. ICVISP 2019: 35:1-35:5 - [i5]Peter Hviid Christiansen, Mikkel Fly Kragh, Yury Brodskiy, Henrik Karstoft:
UnsuperPoint: End-to-end Unsupervised Interest Point Detector and Descriptor. CoRR abs/1907.04011 (2019) - 2018
- [j3]Timo Korthals, Mikkel Kragh Hansen, Peter Christiansen, Henrik Karstoft, Rasmus N. Jørgensen, Ulrich Rückert:
Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation. Frontiers Robotics AI 5: 28 (2018) - [i4]Timo Korthals, Mikkel Kragh Hansen, Peter Christiansen, Ulrich Rückert:
Towards Inverse Sensor Mapping in Agriculture. CoRR abs/1805.08595 (2018) - 2017
- [j2]Mikkel Kragh Hansen, Peter Christiansen, Morten Stigaard Laursen, Morten Larsen, Kim Arild Steen, Ole Green, Henrik Karstoft, Rasmus Nyholm Jørgensen:
FieldSAFE: Dataset for Obstacle Detection in Agriculture. Sensors 17(11): 2579 (2017) - [i3]Mikkel Kragh Hansen, James Patrick Underwood:
Multi-Modal Obstacle Detection in Unstructured Environments with Conditional Random Fields. CoRR abs/1706.02908 (2017) - [i2]Mikkel Kragh Hansen, Peter Christiansen, Morten Stigaard Laursen, Morten Larsen, Kim Arild Steen, Ole Green, Henrik Karstoft, Rasmus Nyholm Jørgensen:
FieldSAFE: Dataset for Obstacle Detection in Agriculture. CoRR abs/1709.03526 (2017) - 2016
- [j1]Gang Jun Tu, Mikkel Kragh Hansen, Per Kryger, Peter Ahrendt:
Automatic behaviour analysis system for honeybees using computer vision. Comput. Electron. Agric. 122: 10-18 (2016) - [i1]Johann Thor Mogensen Ingibergsson, Stefan-Daniel Suvei, Mikkel Kragh Hansen, Peter Christiansen, Ulrik Pagh Schultz:
Towards a DSL for Perception-Based Safety Systems. CoRR abs/1603.01965 (2016) - 2015
- [c1]Mikkel Kragh Hansen, Rasmus N. Jørgensen, Henrik Pedersen:
Object Detection and Terrain Classification in Agricultural Fields Using 3D Lidar Data. ICVS 2015: 188-197
Coauthor Index
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