Amund Vedal

Ingrid Utseth; Amund Hansen Vedal; Sarina Thomas; Line Eikvil; Comparing Foundation Models for Medical Images: A Study on Limited Data and Generalization Proceedings of Machine Learning Research (PMLR), vol. 307, pp. 439 447 , (ISSN 2640-3498 ), doi: https://proceedings.mlr.press/v307/utseth26a.html , 2026. Vitenskapelig artikkel

Ingrid Utseth; Amund Hansen Vedal; Sarina Thomas; Line Eikvil; Comparing Foundation Models for Medical Images: A Study on Limited Data and Generalization , 2026. Poster

Fredrik Andreas Dahl; Amund Vedal; Line Eikvil; Solveig Thrun; Michael Kampffmeyer; Solveig Sand-Hanssen Hofvind; Modelling Uncertainty in Graph Convolutional Networks for Edge Detection in Mammograms Lecture Notes in Computer Science (LNCS), vol. 15917, pp. 261 275 , (ISSN 0302-9743 1611-3349 ), doi: https://doi.org/10.1007/978-3-031-98691-8_19 , 2025. Vitenskapelig artikkel

Amund Hansen Vedal; Arnt Børre Salberg; Ketil Malde; Hierarchical classification of plankton 2025. Vitenskapelig foredrag

Amund Hansen Vedal; Arnt Børre Salberg; Ketil Malde; Hierarchical classification of plankton , 2025. Poster

Amund Hansen Vedal; Alba Ordonez; Explaining a Mammogram Classifier using Concept Relevance Propagation (CRP) and Relevance Maximization (RelMax) 2024. Faglig foredrag

Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Anders U. Waldeland; Experiments with foundation models for cardiac ultrasound images 2024. Rapport

Ingrid Utseth; Amund Hansen Vedal; Line Eikvil; Detection of timing events in cardiac ultrasound 2024. Rapport

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. Faglig foredrag

Alba Ordonez; Amund Hansen Vedal; Fredrik Andreas Dahl; Exploring Concept-Based Explainability in Breast Cancer Classification 2024. Rapport

Fredrik Andreas Dahl; Line Eikvil; Amund Hansen Vedal; Training GCN on breast positioning using partially annotated mammograms 2023. Vitenskapelig foredrag

Amund Hansen Vedal; Line Eikvil; Context-Aware Landmark Detection for 2D Cardiac Ultrasound using Graph Convnet 2023. Rapport

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. Rapport

Fredrik Andreas Dahl; Amund Hansen Vedal; Line Eikvil; Analyzing breast positioning in mammograms with graph convolutional networks 2022. Vitenskapelig foredrag

Amund Hansen Vedal; Line Eikvil; Marit Holden; Andrew Gilbert; Context-Aware Landmark Detection for 2D Cardiac Ultrasound using Graph Convnet 2022. Vitenskapelig foredrag

Alba Ordonez; Amund Hansen Vedal; Evaluating Different Strategies for Domain Generalization in Mammogram Classifiers 2022. Rapport

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. Faglig foredrag

Alba Ordonez; Amund Hansen Vedal; Explainability and uncertainty for classification of mammography images 2021. Rapport