Research

Our company is strongly research-driven and the solutions developed in customer projects have a solid scientific basis. We have been conducting applied research in the areas of Deep Learning based diagnostics and progression prediction, estimation and measurement of clinically valuable imaging bio-markers and also robust medical image segmentation jointly with the researchers from Oulu University.

Example R&D Projects

Disease Progression Modelling

Image Segmentation

  • Short description: Robust Knee MRI segmentation method based on adversarial domain adaptation
  • Publications: https://arxiv.org/abs/1908.04126 (Published at ICCV’19 VRMI Workshop)

Imaging-based Biomarkers

  • Short description: A method for automatic measurement of cardio-thoratic index with uncertainty from Chest X-ray images
  • Publications: https://arxiv.org/abs/1908.02924 (to appear in ACIVS 2020 Proceedings)