Presenting AuthorPosterGPD-T-174
A Unified Foundation Model for Medical Image Analysis In Radiotherapy Via Multi-Teacher Knowledge Distillation
Foundation models (FMs) have demonstrated strong performance on challenging radiation therapy tasks such as automatic delineation, deformable image registration, and multimodal visual question answering (VQA). However, they are typically task-specific and req...
Poster Program · Therapy Physics
Presenting AuthorPosterGPD-T-354
Training-Free Deformable Image Registration Using Unsupervised Multi-Teacher Distillation
Deformable image registration (DIR) in medical imaging remains inherently ill-conditioned due to structural ambiguities and weak anatomical constraints. Although foundation models (FMs) have shown strong promise for unsupervised DIR, existing approaches typic...
Poster Program · Therapy Physics