Alina Dima

Alina Dima is a Doctoral researcher at the Chair of Artificial Intelligence in Healthcare and Medicine. Her research explores the use of geometric and spatial constraints for 3D vessel segmentation, for the purpose of reducing annotation cost and learning parametric models.

Interests:

• 3d Vessel Segmentation
• Sparse Annotations
• Parametric Models
• Differentiable Voxelization

Education:

• M.Sc. in Computer Science, 2020
  Saarland University
• B.Sc. in Computer Science, 2015
  Jacobs University Bremen