Electrocardiogram Derived Respiration using an Evolutionary Algorithm. - Jakob Juul Larsen; Lars G. Johansen; Henrik Karstoft (BIOSIGNALS, 2012)

Improvement of KinectTM Sensor Capabilities by Fusion with Laser Sensing Data Using Octree. - Alfredo Chávez; Henrik Karstoft (Sensors, 2012)

A Novel Method for Measuring In-Shoe Navicular Drop during Gait. - Simon Lind Kappel; Michael S. Rathleff; Dan Hermann; Ole Simonsen; Henrik Karstoft; Peter Ahrendt (Sensors, 2012)

A Vocal-Based Analytical Method for Goose Behaviour Recognition. - Kim Arild Steen; Ole Roland Therkildsen; Henrik Karstoft; Ole Green (Sensors, 2012)

Audio-Visual Recognition of Goose Flocking Behavior. - Kim Arild Steen; Ole Roland Therkildsen; Ole Green; Henrik Karstoft (Int. J. Pattern Recognit. Artif. Intell., 2013)

Three-dimensional radiation pattern measurement strategy for ground station antennas. - Michael Nygaard Pedersen; Jürgen Letschnik; Lars Schelde; Henrik Karstoft; Fritz Schurig; Ulrich Walter (Int. J. Satell. Commun. Netw., 2013)

Using Illumination Changes to Synchronize Eye Tracking in Visual Paradigms. - Daniel Siboska; Henrik Karstoft (BIOSTEC (Selected Papers), 2014)

Synchronization of Electroencephalography and Eye Tracking using Global Illumination Changes. - Daniel Siboska; Henrik Karstoft; Henrik Pedersen (BIOSIGNALS, 2014)

The acoustic adaptive frightening device-framework and algorithms. - Kim Arild Steen; Henrik Karstoft (GlobalSIP, 2014)

Segmentation of sows in farrowing pens. - Gang Jun Tu; Henrik Karstoft; Lene Juul Pedersen; Erik Jørgensen (IET Image Process., 2014)

Automated Detection and Recognition of Wildlife Using Thermal Cameras. - Peter Christiansen; Kim Arild Steen; Rasmus N. Jørgensen; Henrik Karstoft (Sensors, 2014)

Soil Surface Roughness Using Cumulated Gaussian Curvature. - Thomas Jensen; Lars J. Munkholm; Ole Green; Henrik Karstoft (ICVS, 2015)

Logarithmic dyadic wavelet transform with its applications in edge detection and reconstruction. - Gang Jun Tu; Henrik Karstoft (Appl. Soft Comput., 2015)

Detection of Bird Nests during Mechanical Weeding by Incremental Background Modeling and Visual Saliency. - Kim Arild Steen; Ole Roland Therkildsen; Ole Green; Henrik Karstoft (Sensors, 2015)

Illumination and Reflectance Estimation with its Application in Foreground Detection. - Gang Jun Tu; Henrik Karstoft; Lene Juul Pedersen; Erik Jørgensen (Sensors, 2015)

Using Deep Learning to Challenge Safety Standard for Highly Autonomous Machines in Agriculture. - Kim Arild Steen; Peter Christiansen; Henrik Karstoft; Rasmus N. Jørgensen (J. Imaging, 2016)

DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field. - Peter Christiansen; Lars N. Nielsen; Kim Arild Steen; Rasmus N. Jørgensen; Henrik Karstoft (Sensors, 2016)

Preliminary Results of Clover and Grass Coverage and Total Dry Matter Estimation in Clover-Grass Crops Using Image Analysis. - Anders Krogh Mortensen; Henrik Karstoft; Karen Søegaard; René Gislum; Rasmus N. Jørgensen (J. Imaging, 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)

Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks. - Søren Skovsen; Mads Dyrmann; Anders Krogh Mortensen; Kim Arild Steen; Ole Green; Jørgen Eriksen; René Gislum; Rasmus Nyholm Jørgensen; Henrik Karstoft (Sensors, 2017)

Segmentation of lettuce in coloured 3D point clouds for fresh weight estimation. - Anders Krogh Mortensen; Asher Bender; Brett Whelan; Margaret M. Barbour; Salah Sukkarieh; Henrik Karstoft; René Gislum (Comput. Electron. Agric., 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 001 (Frontiers Robotics AI, 2018)

The Oil Radish Growth Dataset for Semantic Segmentation and Yield Estimation. - Anders Krogh Mortensen; Søren Skovsen; Henrik Karstoft; René Gislum (CVPR Workshops, 2019)

The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture. - Søren Skovsen; Mads Dyrmann; Anders Krogh Mortensen; Morten Stigaard Laursen; René Gislum; Jørgen Eriksen; Sadaf Farkhani; Henrik Karstoft; Rasmus N. Jørgensen (CVPR Workshops, 2019)

Sparse-to-Dense Depth Completion in Precision Farming. - Sadaf Farkhani; Mikkel Fly Kragh; Peter Hviid Christiansen; Rasmus Nyholm Jørgensen; Henrik Karstoft (ICVISP, 2019)

Automatic grading of human blastocysts from time-lapse imaging. - Mikkel Fly Kragh; Jens Rimestad; Jørgen Berntsen; Henrik Karstoft (Comput. Biol. Medicine, 2019)

UnsuperPoint: End-to-end Unsupervised Interest Point Detector and Descriptor. - Peter Hviid Christiansen; Mikkel Fly Kragh; Yury Brodskiy; Henrik Karstoft (CoRR, 2019)

Disentangling Information in Artificial Images of Plant Seedlings Using Semi-Supervised GAN. - Simon Leminen Madsen; Anders Krogh Mortensen; Rasmus Nyholm Jørgensen; Henrik Karstoft (Remote. Sens., 2019)

Decoupled Localization and Sensing with HMD-based AR for Interactive Scene Acquisition. - Søren Skovsen; Harald Haraldsson; Abe Davis; Henrik Karstoft; Serge J. Belongie (ISMAR Adjunct, 2020)

Routing in congested baggage handling systems using deep reinforcement learning. - René Arendt Sørensen; Michael Nielsen 001; Henrik Karstoft (Integr. Comput. Aided Eng., 2020)

Baggage Routing with Scheduled Departures using Deep Reinforcement Learning. - René Arendt Sørensen; Jens Rosenberg; Henrik Karstoft (ISCSIC, 2021)

Weed Classification Using Explainable Multi-Resolution Slot Attention. - Sadaf Farkhani; Søren Kelstrup Skovsen; Mads Dyrmann; Rasmus Nyholm Jørgensen; Henrik Karstoft (Sensors, 2021)

Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks. - Søren Kelstrup Skovsen; Morten Stigaard Laursen; Rebekka Kjeldgaard Kristensen; Jim Rasmussen; Mads Dyrmann; Jørgen Eriksen; René Gislum; Rasmus Nyholm Jørgensen; Henrik Karstoft (Sensors, 2021)

CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds. - Andreas Holm Nielsen; Alexandros Iosifidis; Henrik Karstoft (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data. - Andreas Holm Nielsen; Alexandros Iosifidis; Henrik Karstoft (CoRR, 2022)

Motion Informed Object Detection of Small Insects in Time-lapse Camera Recordings. - Kim Bjerge; Carsten Eie Frigaard; Henrik Karstoft (CoRR, 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)

Object Detection of Small Insects in Time-Lapse Camera Recordings. - Kim Bjerge; Carsten Eie Frigaard; Henrik Karstoft (Sensors, 2023)

Hierarchical classification of insects with multitask learning and anomaly detection. - Kim Bjerge; Quentin Geissmann; Jamie Alison; Hjalte M. R. Mann; Toke Thomas Høye; Mads Dyrmann; Henrik Karstoft (Ecol. Informatics, 2023)

Few-Shot Learning with Novelty Detection. - Kim Bjerge; Paul Bodesheim; Henrik Karstoft (DeLTA (1), 2024)

A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments. - Kim Bjerge; Henrik Karstoft; Hjalte M. R. Mann; Toke Thomas Høye (Ecol. Informatics, 2024)

Computer vision and deep learning in insects for food and feed production: A review. - Sarah Nawoya; Frank Ssemakula; Roseline Akol; Quentin Geissmann; Henrik Karstoft; Kim Bjerge; Cosmas Mwikirize; Andrew Katumba; Grum Gebreyesus (Comput. Electron. Agric., 2024)

Deep Image Clustering with Model-Agnostic Meta-Learning. - Kim Bjerge; Paul Bodesheim; Henrik Karstoft (VISIGRAPP (2): VISAPP, 2025)

Dual guidance: ROM-informed field reconstruction with generative models. - Sajad Salavatidezfouli; Henrik Karstoft; Alexandros Iosifidis; Mahdi Abkar (CoRR, 2025)