Background and activities

 

Working as a PhD candidate at the Department of Circulation and Medical Imaging financed by CIUS. In my ongoing research project I look at automatic methods for analysing medical images using machine learning techniques. The main application is cardiac ultrasound imaging, where the goal is to develop good diagnostic tools and improve workflow in the clinic.

 

My research interests are:

  • Ultrasound, and other medical imaging modalities

  • Machine learning with emphasis on deep neural networks

  • Robotics and machine vision in medical intervention

 

Background

Master of Science (MSc) in physics and mathematics with specialization in biophysics and medical technology. Master thesis on the topic of Robot Control in Image-Guided Intervention.

Scientific, academic and artistic work

Displaying a selection of activities. See all publications in the database

Others

  • Smistad, Erik; Østvik, Andreas; Haugen, Bjørn Olav; Løvstakken, Lasse. (2017) 2D Left ventricle segmentation using deep learning. International Ultrasonics Symposium (IUS) ; 2017-09-06 - 2017-09-09.
  • Østvik, Andreas; Smistad, Erik; Aase, Svein Arne; Haugen, Bjørn Olav; Løvstakken, Lasse. (2017) Real-Time Classification of Standard Cardiac Views in Echocardiography using Neural Networks. IEEE International Ultrasonics Symposium ; Washington DC. 2017-09-06 - 2017-09-09.