Amund Vedal

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

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; Improving model understanding of cancer lesions via a challenging dataset 2023. Report

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

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

Amund Hansen Vedal; Line Eikvil; Marit Holden; Context-Aware Landmark Detection for 2D Cardiac Ultrasound using a Graph Convolution Network 2022. Poster

Alba Ordonez; Amund Hansen Vedal; Fredrik Andreas Dahl; Line Eikvil; Explainability and uncertainty for classification of mammograms 2022. Poster

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

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

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

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