Mikkel Kragh Hansen

According to our database, Mikkel Kragh Hansen authored at least 14 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Predicting Embryo Viability Based on Self-Supervised Alignment of Time-Lapse Videos.

Mikkel Fly Kragh, Jens Rimestad, Jacob Theilgaard Lassen, Jørgen Berntsen, Henrik Karstoft

IEEE Trans. Medical Imaging, 2022

Development and validation of deep learning based embryo selection across multiple days of transfer.

Jacob Theilgaard Lassen, Mikkel Fly Kragh, Jens Rimestad, Martin Nygård Johansen, Jørgen Berntsen

CoRR, 2022

2021

Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences.

Jørgen Berntsen, Jens Rimestad, Jacob Theilgaard Lassen, Dang Tran, Mikkel Fly Kragh

CoRR, 2021

2020

Multimodal obstacle detection in unstructured environments with conditional random fields.

Mikkel Kragh Hansen, James Patrick Underwood

J. Field Robotics, 2020

2019

UnsuperPoint: End-to-end Unsupervised Interest Point Detector and Descriptor.

Peter Hviid Christiansen, Mikkel Fly Kragh, Yury Brodskiy, Henrik Karstoft

CoRR, 2019

Automatic grading of human blastocysts from time-lapse imaging.

Mikkel Fly Kragh, Jens Rimestad, Jørgen Berntsen, Henrik Karstoft

Comput. Biol. Medicine, 2019

Sparse-to-Dense Depth Completion in Precision Farming.

Sadaf Farkhani, Mikkel Fly Kragh, Peter Hviid Christiansen, Rasmus Nyholm Jørgensen, Henrik Karstoft

Proceedings of the ICVISP 2019: 3rd International Conference on Vision, 2019

2018

Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation.

Timo Korthals, Mikkel Kragh Hansen, Peter Christiansen, Henrik Karstoft, Rasmus N. Jørgensen, Ulrich Rückert

Frontiers Robotics AI, 2018

Towards Inverse Sensor Mapping in Agriculture.

Timo Korthals, Mikkel Kragh Hansen, Peter Christiansen, Ulrich Rückert

CoRR, 2018

2017

FieldSAFE: Dataset for Obstacle Detection in Agriculture.

Mikkel Kragh Hansen, Peter Christiansen, Morten Stigaard Laursen, Morten Larsen, Kim Arild Steen, Ole Green, Henrik Karstoft, Rasmus Nyholm Jørgensen

Sensors, 2017

Multi-Modal Obstacle Detection in Unstructured Environments with Conditional Random Fields.

Mikkel Kragh Hansen, James Patrick Underwood

CoRR, 2017

2016

Towards a DSL for Perception-Based Safety Systems.

Johann Thor Mogensen Ingibergsson, Stefan-Daniel Suvei, Mikkel Kragh Hansen, Peter Christiansen, Ulrik Pagh Schultz

CoRR, 2016

Automatic behaviour analysis system for honeybees using computer vision.

Gang Jun Tu, Mikkel Kragh Hansen, Per Kryger, Peter Ahrendt

Comput. Electron. Agric., 2016

2015

Object Detection and Terrain Classification in Agricultural Fields Using 3D Lidar Data.

Mikkel Kragh Hansen, Rasmus N. Jørgensen, Henrik Pedersen

Proceedings of the Computer Vision Systems - 10th International Conference, 2015