We use cookies necessary to giving you a better online experience. By using our website you consent to all cookies in accordance with our Privacy Policy.
Yes, I accept
Menu
Search Opener

Session

Monday
May 09
10:30 - 11:30
Room D5
Deep learning for image analysis
Andre Dekker, The Netherlands;
Catarina Veiga, United Kingdom
Proffered Papers are presented at one of the sessions scheduled in the main session halls. Each author will present orally for 7 minutes, followed by 3 minutes for discussion. Sessions will be streamed.
Proffered Papers
Physics
10:30 - 10:40
Auto-segmentation of low contrast organs at risk improves with minimal prior delineation input
Mathis Ersted Rasmussen, Denmark
OC-0769
10:40 - 10:50
Deep Learning-based segmentation of prostatic urethra on CT scans for treatment planning
Laura García-Elcano, Spain
OC-0770
10:50 - 11:00
Uncertainty map for error prediction in deep learning-based head and neck tumor auto-segmentation
Jintao Ren, Denmark
OC-0771
11:00 - 11:10
Deep learning-based 4D synthetic CT for lung radiotherapy
Matteo Maspero, The Netherlands
OC-0772
11:10 - 11:20
CBCT-to-CT synthesis using weakly-paired cycle-consistent generative adversarial networks
Adam Szmul, United Kingdom
OC-0773
11:20 - 11:30
Generalizability of deep-learning-based CBCT image enhancement with respect to anti-scatter grids.
Xander Staal, The Netherlands
OC-0774