A segmentation-regularized deep learning registration model trained on 3T MRI generalizes to 1.5T MR-Linac scans and supports deformable dose accumulation in prostate cancer radiotherapy.
Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM Radiation Therapy Committee Task Group No
1 Pith paper cite this work, alongside 859 external citations. Polarity classification is still indexing.
1
Pith paper citing it
859
external citations · OpenAlex
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Segmentation Regularized Training for Multi-Domain Deep Learning Registration applied to MR-Guided Prostate Cancer Radiotherapy
A segmentation-regularized deep learning registration model trained on 3T MRI generalizes to 1.5T MR-Linac scans and supports deformable dose accumulation in prostate cancer radiotherapy.