Research Scientist
Amund Vedal
- Department Image analysis, machine learning and Earth observation
- Phone number +47 22 85 26 14
- E-mail amund@nr.no
Publications
- 19 publications found
- Publisher
Hierarchical classification of plankton 2025. Poster
Hierarchical classification of plankton 2025. Scientific lecture
Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Anders U. Waldeland; Experiments with foundation models for cardiac ultrasound images 2024. Report
Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Detection of timing events in cardiac ultrasound 2024. Report
Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Anders U. Waldeland; Experiments with Foundation Models for Cardiac Ultrasound Images in Limited Data Scenarios 2024. Poster
Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Anders U. Waldeland; Experiments with Foundation Models for Cardiac Ultrasound Images in Limited Data Scenarios 2024. Lecture
Amund Hansen Vedal; Alba Ordonez; Explaining a Mammogram Classifier using Concept Relevance Propagation (CRP) and Relevance Maximization (RelMax) 2024. Lecture
Alba Ordonez; Amund Hansen Vedal; Fredrik Andreas Dahl; Exploring Concept-Based Explainability in Breast Cancer Classification 2024. Report
Amund Hansen Vedal; Line Eikvil; Context-Aware Landmark Detection for 2D Cardiac Ultrasound using Graph Convnet 2023. Report
Fredrik Andreas Dahl; Line Eikvil; Amund Hansen Vedal; Training GCN on breast positioning using partially annotated mammograms 2023. Scientific lecture
Fredrik Andreas Dahl; Line Eikvil; Amund Hansen Vedal; Training GCN on breast positioning using partially annotated mammograms 2023. Poster
Alba Ordonez; Amund Hansen Vedal; Improving model understanding of cancer lesions via a challenging dataset 2023. Report
Fredrik Andreas Dahl; Amund Hansen Vedal; Line Eikvil; Analyzing breast positioning in mammograms with graph convolutional networks 2022. Scientific lecture
Amund Hansen Vedal; Line Eikvil; Marit Holden; Andrew Gilbert; Context-Aware Landmark Detection for 2D Cardiac Ultrasound using Graph Convnet 2022. Scientific lecture
Alba Ordonez; Amund Hansen Vedal; Evaluating Different Strategies for Domain Generalization in Mammogram Classifiers 2022. Report
Alba Ordonez; Amund Hansen Vedal; Fredrik Andreas Dahl; Line Eikvil; Explainability and uncertainty for classification of mammograms 2022. Poster
Amund Hansen Vedal; Line Eikvil; Marit Holden; Context-Aware Landmark Detection for 2D Cardiac Ultrasound using a Graph Convolution Network 2022. Poster
Amund Hansen Vedal; Context-Aware Landmark Detection for 2D Cardiac Ultrasound using Graph Convnet 2021. Lecture
Alba Ordonez; Amund Hansen Vedal; Explainability and uncertainty for classification of mammography images 2021. Report