A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers

Research article (IEEE Transactions on Medical Imaging, 2023) · cited 29× · AI/ML
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A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers

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A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-fully-differentiable-framework-for-2d-3d-registration-and-the-projective-spatial-transformers
MLA “A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-fully-differentiable-framework-for-2d-3d-registration-and-the-projective-spatial-transformers.
BibTeX @misc{4ortxyz_a-fully-differentiable-framework-for-2d-3d-registration-and-the-projective-spatial-transformers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers}}, year = {2026}, url = {https://4ort.xyz/entity/a-fully-differentiable-framework-for-2d-3d-registration-and-the-projective-spatial-transformers}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers — https://4ort.xyz/entity/a-fully-differentiable-framework-for-2d-3d-registration-and-the-projective-spatial-transformers (retrieved 2026-05-24)

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