Image section
Image Analysis, Computational Modelling, and Geometry
The IMAGE section hosts researchers in image analysis and processing, computer vision, computer simulation, numerical optimization, machine learning, computational modelling, geometry and geometric statistics. The work ranges from theoretical analyses, over algorithm development, to solving concrete problems for science, industry and society. We are part of the recently launched SCIENCE AI Centre at the University of Copenhagen.
For formal information about the IMAGE section please look at our department web-site. On this site we present public complementary information. Private information for employees can be found on github.
Want to see what we do? Have a look at some of our publications.
For Those Who Believe in Faithfulness: Optimizing the Area Under Insertion and Deletion Curves for Ranking Relative Feature Importance
Predicting Radiologist Expertise from 3D Gaze Patterns During CT Interpretation
MedPruner: Training-Free Hierarchical Token Pruning for Efficient 3D Medical Image Understanding in Vision-Language Models
Deep Learning‐Based Automated Bowel Wall Thickness Measurement in Intestinal Ultrasound for Inflammatory Bowel Disease
Clinical Outcome of Non‐Surgical Endodontic Treatment Performed by Undergraduate Dental Students: A Retrospective Observational Cohort Study
Student Projects
The section regularly publishes projects for BSc and MSc students.
Infrastructure
IMAGE provides a wide range of physical and virtual reserach infrastructure.
Open Data and Open Source
Researchers from IMAGE has been part of creating many open source projects and data-sets that are freely available online. Below is a subset of those repositories.