Image Analysis, Computational Modelling and Geometry
2100 København Ø
I am currently a researcher at the Neurobiology research unit at Rigshospitalet, Copenhagen and have since 1. September 2021 an appointment as associate professor at the Department for Computer Science at the University of Copenhagen.
As a researcher, I aim to utilize my inter-disciplinary background – physics, computer science and neuroimaging - to push the boundaries for what is considered feasible. My research focuses on the application of medical image processing and machine learning to clinical medical image data, mostly neuroscientific data (PET & MRI). Additionally, I aim to embrace Open Science principles in my research and am hence involved in data sharing initiatives such as the Brain Imaging Data Structure.
From a methodological perspective, I have worked on tools for preprocessing, segmentation and registration of X-ray, MRI and PET images as well as the statistical interpretation of results retrieved in medical imaging. My work builds on my extensive expertise in physics and medical image analysis, as well as my experience working in an inter-disciplinary environment at Rigshospitalet and the Department of Computer Science at the University of Copenhagen.
My personal homepage: https://sites.google.com/view/melanieganz/home
neuroimaging; magnetic resonance imaging;positron emission tomography; serotonin system; feature selection; statistical learning
Primary fields of research
My research interests include the application of image processing, computer vision and machine learning techniques in medical imaging as well as the statistical interpretations of results retrieved in medical imaging problems.