Fully Differentiable Correlation-Driven 2D/3D Registration for X-Ray to CT Image Fusion
Author:
Affiliation:
1. Southeast University,School of Computer Science and Engineering,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635662.pdf?arnumber=10635662
Reference15 articles.
1. An optimization-based baseline for rigid 2d/3d registration applied to spine surgical navigation using cma-es;Chen,2024
2. Patch-based image similarity for intraoperative 2d/3d pelvis registration during periacetabular osteotomy;Grupp
3. Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration
4. A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers
5. NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation
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