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CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction
Research article (Applied and Computational Engineering, 2025) · cited 10× · AI/ML
CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction
Summary
CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction is a scholarly article[1].
Key Facts
CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image 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). CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction. Retrieved May 24, 2026, from https://4ort.xyz/entity/ctlformer-a-hybrid-denoising-model-combining-convolutional-layers-and-self-attention-for-enhanced-ct-image-reconstructio
MLA“CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ctlformer-a-hybrid-denoising-model-combining-convolutional-layers-and-self-attention-for-enhanced-ct-image-reconstructio.
BibTeX@misc{4ortxyz_ctlformer-a-hybrid-denoising-model-combining-convolutional-layers-and-self-attention-for-enhanced-ct-image-reconstructio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction}}, year = {2026}, url = {https://4ort.xyz/entity/ctlformer-a-hybrid-denoising-model-combining-convolutional-layers-and-self-attention-for-enhanced-ct-image-reconstructio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction — https://4ort.xyz/entity/ctlformer-a-hybrid-denoising-model-combining-convolutional-layers-and-self-attention-for-enhanced-ct-image-reconstructio (retrieved 2026-05-24)
