MR Scans
2024.10.07
Meet the members of the section
Image Analysis, Computational Modelling and Geometry
Welcome to the IMAGE Section. 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 center at the University of Copenhagen.
People
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Machine Learning in Biology
We are concerned with using Machine Learning techniques to solve problems in Biology. Currently, our main focus is on obtaining a better understanding of molecular structure, using a combination of techniques ranging from molecular simulation to deep learning. -
Mathematical Image Analysis
We focus on modeling and numerical methods for nonlinear statistics, variational problems, and geometry on manifolds and metric spaces. Application areas include 3D tomographic reconstruction, airway trees, brain image and morphological analysis, and functional analysis of imaging data. -
Medical Image Analysis
We are concerned with the analysis of images for medical purposes. The major applications are neuroimaging, breast cancer screening and pulmonary images. We are focused on the quantification of pathological changes through medical imaging biomarkers.
We offer courses for the bachelor and master's programmes in Computer Science and Communication & IT. For the MSc programme, we suggest the study tracks in Programming Language and Systems.
The following courses are offered/planned in the academic year 2020/2021:
BSc in Computer Science
- Computersystemer (CompSys) / Computer Systems
- Implementering af programmeringssprog (IPS) / Implementation of Programming Languages
- It-sikkerhed (ITS) / IT Security
- Programmering og problemløsning (PoP) / Programming and Problem Solving
- Programming Language Design (PLD)
BA in Communication & IT
MSc in Computer Science
- Advanced Programming (AP)
- Computability and Complexity (CoCo)
- Data-Driven Financial Models (DatFin)
- Parallel Functional Programming (PFP)
- Proactive Computer Security (PCS)
- Program Analysis and Transformation (PAT)
- Programming Massively Parallel Hardware (PMPH)
- Semantics and Types (SaT)
