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Session

Saturday
May 07
16:55 - 17:55
Poster Station 1
07: Imaging & AI techniques
Stephanie Tanadini-Lang, Switzerland
Poster Discussions are presented at one of the sessions scheduled at the two poster terminals in the exhibition. Each author will present a digital poster orally for 2 minutes, followed by 2 minutes for discussion. Sessions will not be streamed but authors are invited to upload per-recordings for the online platform.
1590
Poster Discussion
Physics
A comparison of multiple deep learning-based auto-segmentation systems for head and neck cancer
Simon Temple, United Kingdom
PD-0313
An explainable deep learning pipeline for multi-modal multi-organ medical image segmentation
Eugenia Mylona, Greece
PD-0314
Evaluation of three AI-based CT auto-contouring systems for head&neck, thorax and pelvis
Marta Casati, Italy
PD-0315
A novel method to predict OAR contour errors without a ground truth using geometric learning
Edward Henderson, United Kingdom
PD-0317
Combining Single-Organ Deep Learning Segmentation Models for Total Marrow Irradiation
Leonardo Crespi, Italy
PD-0318
Evaluation of a synthetic-CT generation method for MRI-only head and neck cancer radiotherapy
Stefano Riga, Italy
PD-0319
Two-ways validation of the feasibility of AI-based synthetic CT for MR-only brain radiotherapy
Siti Masitho, Germany
PD-0320
Comparison of synthetic CT generation methods for MRI-only definitive pelvic radiotherapy
Laura O'Connor, Australia
PD-0321
Artificial intelligence organ-at-risk dose prediction for high-risk prostate cancer IMRT
Patrik Brodin, USA
PD-0322
Deep learning automatic applicator-based MRI registration in image guided adaptive brachytherapy
Stefan Ecker, Austria
PD-0323
BELOW PRESENTATIONS AVAILABLE VIA ONLINE PLATFORM
Contouring lumbosacral plexus based on MR neurography and MR/CT deformable registration technique
Xi Cao, China
PD-0316