M.B. Stegmann

ORCID: 0009-0007-0055-5195
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About
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Research Areas
  • Face recognition and analysis
  • Advanced Neuroimaging Techniques and Applications
  • Image Retrieval and Classification Techniques
  • Face and Expression Recognition
  • Medical Image Segmentation Techniques
  • Neonatal and fetal brain pathology
  • Glaucoma and retinal disorders
  • Alzheimer's disease research and treatments
  • Cybersecurity and Cyber Warfare Studies
  • 3D Shape Modeling and Analysis
  • Functional Brain Connectivity Studies
  • Algorithms and Data Compression
  • Ocular Surface and Contact Lens
  • Advanced MRI Techniques and Applications
  • Information and Cyber Security
  • Medical Imaging Techniques and Applications
  • Cardiac Imaging and Diagnostics
  • Music and Audio Processing
  • Cerebral Palsy and Movement Disorders
  • Gaze Tracking and Assistive Technology

Technical University of Denmark
2003-2006

Hvidovre Hospital
2005

University of Copenhagen
2003

Combined modeling of pixel intensities and shape has proven to be a very robust widely applicable approach interpret images. As such the active appearance model (AAM) framework been applied wide variety problems within medical image analysis. This paper summarizes AAM applications medicine describes public domain implementation, namely flexible environment (FAME). We give guidelines for use this research platform, show that optimization techniques used renders it interactive applications. To...

10.1109/tmi.2003.817780 article EN IEEE Transactions on Medical Imaging 2003-09-30

Previous research has indicated that corpus callosum atrophy is associated with global cognitive decline in neurodegenerative diseases, but few studies have investigated specific functions.To investigate the role of regional mental speed, attention and executive functions subjects age-related white matter hyperintensities (WMH).In Leukoaraiosis Disability Study, 567 WMH were examined a detailed neuropsychological assessment quantitative magnetic resonance imaging. The relationships total...

10.1136/jnnp.2006.096792 article EN Journal of Neurology Neurosurgery & Psychiatry 2006-10-07

We propose a non-intrusive eye tracking system intended for the use of everyday gaze typing using web cameras. argue that high precision in is not needed on-screen due to natural language redundancy. This facilitates low-cost video components advanced multi-modal interactions based on systems. Robust methods are track eyes cameras poor image quality. A realtime scheme mean-shift color tracker and an Active Appearance Model proposed. It possible from this model infer state such as corners...

10.1109/acv.2002.1182170 article EN 2003-06-26

10.1016/s0262-8856(02)00126-9 article EN Image and Vision Computing 2003-01-01

In recent years, cyberspace has been shaped by a rapid and transformative technological evolution, which ushered in an era characterised unparalleled connectivity innovation. However, this remarkable progress brought concerning surge cyberattacks that have fundamentally altered dynamics refined the nature of contemporary warfare. This refinement was vividly illustrated Russia-Ukraine conflict, where played pivotal role, blurring traditional boundaries conflict cyber age. As result, study...

10.34190/iccws.19.1.2036 article EN cc-by-nc-nd International Conference on Cyber Warfare and Security 2024-03-21

Statistical region-based segmentation methods such as the Active Appearance Model (AAM) are used for establishing dense correspondences in images based on learning variation shape and pixel intensities a training set. For low resolution 2D can be recovered reliably real-time. However, increases this becomes infeasible due to excessive storage computational requirements. In paper we propose reduce textural components by modelling coefficients of wedgelet regression tree instead original...

10.1109/cvpr.2004.478 article EN 2005-04-01
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