Main interest

I have a long-standing interest in implementing engineering methods to solve problems in medicine.

I have extensive experience performing research on three-dimensional medical image registration and segmentation, with applications to brains, pelvises, and statistical atlases.

I have particular expertise in deformable 3D-3D image registration of magnetic resonance images of the human brain for different application purposes, including the automatic generation of subject-specific anatomical labels.

Current focuses

My current work focuses on developing automatic image processing and analysis pipelines (both classical and AI-based image processing) in three main research areas:

1. Segmentation and labeling of brain anatomy in MRI for systematic analysis of brain dysmorphology in age-related neurodegenerative diseases, such as in Parkinson-plus syndromes and Normal Pressure Hydrocephalus.

2. Segmentation and labeling of bone structures in CT scans, for example, to enable clinically scalable hip-fracture risk assessment using image-based biomarkers.

3. Classification of fingerprint images to aid in the diagnosis of rare genetic diseases, like Kabuki syndrome.

Education

• Post-doctoral Fellow, Johns Hopkins University, 2009-2010
• Ph.D. in electrical and computer engineering, Johns Hopkins University, 2008
• MSE in electrical and computer engineering, Johns Hopkins University, 2004
• BS in electrical and computer engineering, University of Iceland, 2001