Publikasjoner
- This Changes to That : Combining Causal and Non-Causal Explanations to Generate Disease Progression in Capsule Endoscopy
- Multi-label Video Classification for Underwater Ship Inspection
- Concept-based reasoning in medical imaging
- Evaluating clinical diversity and plausibility of synthetic capsule endoscopic images Les publikasjonen
- From labels to priors in capsule endoscopy: a prior guided approach for improving generalization with few labels Les publikasjonen
- Autonomous subsea intervention (SEAVENTION) Les publikasjonen
- Automated 3D burr detection in cast manufacturing using sparse convolutional neural networks Les publikasjonen
- Multichannel Residual Cues for Fine-Grained Classification in Wireless Capsule Endoscopy Les publikasjonen
- Automatic length estimation of free-swimming fish using an underwater 3D range-gated camera Les publikasjonen
- Learning More for Free-A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy
Annen formidling
- Enhancing Safety in Airport Ground Operations through Human-AI Teaming, Insights from the FLAIT Project
- SAFESUB: Safe and Autonomous Subsea Intervention
- Inspection and maintenance robotics: Status and trends
- Robotics and drones for inspection and maintenance of offshore and onshore energy infrastructure
- Language models and human-AI teaming for safety and quality in ground operations on airports – experiences from the FLAIT project
- Multi-label Video Classification for Underwater Ship Inspection
- Kunstig intelligens skal gjøre flyplassens farligste område tryggere: – Vil fjerne de mest vanlige årsakene til uhellene
- Semantically consistent self-supervised representation learning on point clouds
- MViST: A Multi-label Vision Spatiotemporal Transformer for Underwater Ship Inspection
- SEAVENTION – Autonomous Subsea Intervention
