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Generating synthetic images from cone beam computed tomography using self-attention residual UNet for head and neck radiotherapy
Research article (Physics and Imaging in Radiation Oncology, 2023) · cited 12× · AI/ML
Generating synthetic images from cone beam computed tomography using self-attention residual UNet for head and neck radiotherapy
Summary
Generating synthetic images from cone beam computed tomography using self-attention residual UNet for head and neck radiotherapy is a scholarly article[1].
Key Facts
Generating synthetic images from cone beam computed tomography using self-attention residual UNet for head and neck radiotherapy'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). Generating synthetic images from cone beam computed tomography using self-attention residual UNet for head and neck radiotherapy. Retrieved May 24, 2026, from https://4ort.xyz/entity/generating-synthetic-images-from-cone-beam-computed-tomography-using-self-attention-residual-unet-for-head-and-neck-radi
MLA“Generating synthetic images from cone beam computed tomography using self-attention residual UNet for head and neck radiotherapy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generating-synthetic-images-from-cone-beam-computed-tomography-using-self-attention-residual-unet-for-head-and-neck-radi.
BibTeX@misc{4ortxyz_generating-synthetic-images-from-cone-beam-computed-tomography-using-self-attention-residual-unet-for-head-and-neck-radi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generating synthetic images from cone beam computed tomography using self-attention residual UNet for head and neck radiotherapy}}, year = {2026}, url = {https://4ort.xyz/entity/generating-synthetic-images-from-cone-beam-computed-tomography-using-self-attention-residual-unet-for-head-and-neck-radi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Generating synthetic images from cone beam computed tomography using self-attention residual UNet for head and neck radiotherapy — https://4ort.xyz/entity/generating-synthetic-images-from-cone-beam-computed-tomography-using-self-attention-residual-unet-for-head-and-neck-radi (retrieved 2026-05-24)
