Defence of doctoral thesis: Motion Estimation from Temporally and Spatially Sparse Medical Image Sequences
- Date: 5 December 2024, 09:15–12:00
- Location: Ångström Laboratory, 101195, Heinz-Otto Kreiss
- Type: Academic ceremony
- Lecturer: Niklas Gunnarsson
- Web page
- Organiser: Division of system and control
- Contact person: Niklas Gunnarsson
Niklas Gunnarsson will defend his Ph.D. with the title "Motion Estimation from Temporally and Spatially Sparse Medical Image Sequences". Niklas is an industrial WASP Ph.D. student at Elekta Instrument AB. His research is about motion modeling for sequential medical images. In his work, he addresses the challenges in capturing and predicting patient motion, crucial for enhancing accuracy in image-guided treatments.
Opponent: Bram van Ginneken, Radboud University
Supervisors:
- Thomas B. Schön, Uppsala University
- Jens Sjölund, Uppsala University
- Peter Kimstrand, Elekta Instrument AB