Research Group Medical Image Analysis

What we do

Medical imaging is a cornerstone of modern healthcare, offering clinicians critical insight into patient health with minimal risk and discomfort. Yet, the full potential of these images can be limited by factors such as noise, image size, and challenging interpretation, making the analysis time-consuming, difficult, and subjective.

At the MIA research group our vision is to advance state-of-the-art image analysis techniques that unlock the rich information embedded within medical data. By researching artificial intelligence and computer vision algorithms, we aim to transform image data into clinically meaningful insights, presenting results in an accessible and valuable way for healthcare personnel. Furthermore, we strive to be at the forefront of the field by continuously investing in emerging trends in image analysis and processing, and by expanding our portfolio to address both current and future clinical needs.

By advancing the frontiers of artificial intelligence and computer science, we develop innovative technology that supports and enhances the daily work of clinicians, improving patient care and clinical outcomes.

We collaborate with national health institutions like St. Olavs Hospital (Trondheim) the Oslo University Hospital, as well as international actors like Dopl (USA) and GE HealthCare (USA). This allows us to effectively translate clinical needs into innovative technical solutions and applications that can be swiftly integrated in the clinical workflow, ultimately enhancing patient care and support medical decision-making.

Our expertise

1. Data management: we provide comprehensive support throughout the data lifecycle, including identification, collection, cleaning, and secure storage in accordance with the GDPR. We have expertise in data annotation, utilising both in-house tools such as AnnotationWeb and widely adopted third-party solutions like MONAI or 3DSlicer. This ensures high-quality and well-annotated datasets that form the groundwork for reliable image analysis.
2. Image analysis: our group has established expertise in extracting clinically relevant information from medical images, with a strong track record in peer-reviewed research (see fact box). Our focus covers three main domains: enhancing image quality, conducting multimodal analysis, and automating clinical measurements. These efforts leverage advanced artificial intelligence and computational methods to support the development of relevant clinical applications.
3. Clinical applications: we bridge the gap between technical innovations and clinical needs by translating research novelties into real-world solutions. Our work encompasses decision support systems, the integration of medical knowledge, and medical robotics.
4. Tool development: from concept to implementation, we deliver practical solutions for healthcare personnel. Our expertise covers software development, cloud-based services, and AI-driven tools, ensuring our innovations are accessible, effective, and seamlessly integrated into clinical workflows.