Amund Vedal

Modelling Uncertainty in Graph Convolutional Networks for Edge Detection in Mammograms Lecture Notes in Computer Science (LNCS), (ISSN 0302-9743 1611-3349 ), doi: https://doi.org/10.1007/978-3-031-98691-8_19 , 2025. Scientific article

Hierarchical classification of plankton 2025. Poster

Hierarchical classification of plankton 2025. Scientific lecture

Experiments with foundation models for cardiac ultrasound images 2024. Report

Detection of timing events in cardiac ultrasound 2024. Report

Experiments with Foundation Models for Cardiac Ultrasound Images in Limited Data Scenarios 2024. Poster

Experiments with Foundation Models for Cardiac Ultrasound Images in Limited Data Scenarios 2024. Lecture

Explaining a Mammogram Classifier using Concept Relevance Propagation (CRP) and Relevance Maximization (RelMax) 2024. Lecture

Exploring Concept-Based Explainability in Breast Cancer Classification 2024. Report

Training GCN on breast positioning using partially annotated mammograms 2023. Scientific lecture

Context-Aware Landmark Detection for 2D Cardiac Ultrasound using Graph Convnet 2023. Report

Training GCN on breast positioning using partially annotated mammograms 2023. Poster

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

Analyzing breast positioning in mammograms with graph convolutional networks 2022. Scientific lecture

Context-Aware Landmark Detection for 2D Cardiac Ultrasound using Graph Convnet 2022. Scientific lecture

Evaluating Different Strategies for Domain Generalization in Mammogram Classifiers 2022. Report

Explainability and uncertainty for classification of mammograms 2022. Poster

Context-Aware Landmark Detection for 2D Cardiac Ultrasound using a Graph Convolution Network 2022. Poster

Context-Aware Landmark Detection for 2D Cardiac Ultrasound using Graph Convnet 2021. Lecture

Explainability and uncertainty for classification of mammography images 2021. Report