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). CT-Mamba: A hybrid convolutional State Space Model for low-dose CT denoising. Retrieved May 24, 2026, from https://4ort.xyz/entity/ct-mamba-a-hybrid-convolutional-state-space-model-for-low-dose-ct-denoising
MLA“CT-Mamba: A hybrid convolutional State Space Model for low-dose CT denoising.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ct-mamba-a-hybrid-convolutional-state-space-model-for-low-dose-ct-denoising.
BibTeX@misc{4ortxyz_ct-mamba-a-hybrid-convolutional-state-space-model-for-low-dose-ct-denoising_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CT-Mamba: A hybrid convolutional State Space Model for low-dose CT denoising}}, year = {2026}, url = {https://4ort.xyz/entity/ct-mamba-a-hybrid-convolutional-state-space-model-for-low-dose-ct-denoising}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CT-Mamba: A hybrid convolutional State Space Model for low-dose CT denoising — https://4ort.xyz/entity/ct-mamba-a-hybrid-convolutional-state-space-model-for-low-dose-ct-denoising (retrieved 2026-05-24)
