معرفی
Lasse Riis Østergaard is an Associate Professor at the Department of Health Science and Technology, Aalborg University, affiliated with The Faculty of Medicine. His research focuses on medical imaging, AI applications in healthcare, and computational methods for analyzing medical images, particularly in CT and MRI. He leads projects such as 'Modelling and quantification of the cerebral cortex' and contributes to initiatives like the Danish Centre for Health Informatics and AI for the People.
Key research areas include:
- Medical Image Analysis: Specializing in segmentation, artifact reduction, and quantitative measurements in CT/MRI
- AI in Surgery: Developing deep learning models for surgical action recognition and robotic skill assessment
- Clinical Applications: Investigating body composition via CT, lung function correlations, and placental vascular imaging
He has authored over 120 publications and supervised 5 PhD students. Notable collaborations include work with the Virtual Brain project and NemoMed. Recent studies explore ethnic differences in body composition and AI-driven surgical training.
Awards: None explicitly listed, but his work has received media attention including coverage in Surgical Endoscopy and Advances in Respiratory Medicine.
