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DdeNet: A dual-domain end-to-end network combining Pale-Transformer and Laplacian convolution for sparse view CT reconstruction
Research article (Biomedical Signal Processing and Control, 2024) · cited 12× · AI/ML
DdeNet: A dual-domain end-to-end network combining Pale-Transformer and Laplacian convolution for sparse view CT reconstruction
Summary
DdeNet: A dual-domain end-to-end network combining Pale-Transformer and Laplacian convolution for sparse view CT reconstruction is a scholarly article[1].
Key Facts
DdeNet: A dual-domain end-to-end network combining Pale-Transformer and Laplacian convolution for sparse view CT reconstruction's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). DdeNet: A dual-domain end-to-end network combining Pale-Transformer and Laplacian convolution for sparse view CT reconstruction. Retrieved May 24, 2026, from https://4ort.xyz/entity/ddenet-a-dual-domain-end-to-end-network-combining-pale-transformer-and-laplacian-convolution-for-sparse-view-ct-reconstr
MLA“DdeNet: A dual-domain end-to-end network combining Pale-Transformer and Laplacian convolution for sparse view CT reconstruction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ddenet-a-dual-domain-end-to-end-network-combining-pale-transformer-and-laplacian-convolution-for-sparse-view-ct-reconstr.
BibTeX@misc{4ortxyz_ddenet-a-dual-domain-end-to-end-network-combining-pale-transformer-and-laplacian-convolution-for-sparse-view-ct-reconstr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DdeNet: A dual-domain end-to-end network combining Pale-Transformer and Laplacian convolution for sparse view CT reconstruction}}, year = {2026}, url = {https://4ort.xyz/entity/ddenet-a-dual-domain-end-to-end-network-combining-pale-transformer-and-laplacian-convolution-for-sparse-view-ct-reconstr}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DdeNet: A dual-domain end-to-end network combining Pale-Transformer and Laplacian convolution for sparse view CT reconstruction — https://4ort.xyz/entity/ddenet-a-dual-domain-end-to-end-network-combining-pale-transformer-and-laplacian-convolution-for-sparse-view-ct-reconstr (retrieved 2026-05-24)
