MSc Projects in Deep Learning in Cardiovascular Ultrasound with GE Healthcar
We have a number of interesting MSc projects to offer at GE Healthcare in the area of Deep Learning in Echocardiography, including applications for quantification, image acquisition, and multi-modal image fusion for echocardiography.
Want a taste of life in industry with one of the world leaders in medical imaging? Join us for a Masters project!
GE Healthcare (Vingmed Ultrasound), a world leader in cardiovascular ultrasound, is based in Horten with dedicated offices just across the street in Forskningsparken.
You will be working on solving a clinically relevant problem, with regular follow up by a supervisor from industry. A variety of project types are available including, but not limited to, 2D/3D convolutional neural networks, recurrent neural networks, adversarial networks, reinforcement learning, and semi-supervised/unsupervised learning.
Profile
We look for students that:
- like signal processing and programming
- have a practical knowledge of Deep Learning methods
- would like to face complex research problems
Students will be supervised in close collaboration with the DSB group.
Please contact Kristin.Mcleod@ge.com for more information.