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). ACU-Net: Attention-based convolutional U-Net model for segmenting brain tumors in fMRI images. Retrieved May 24, 2026, from https://4ort.xyz/entity/acu-net-attention-based-convolutional-u-net-model-for-segmenting-brain-tumors-in-fmri-images
MLA“ACU-Net: Attention-based convolutional U-Net model for segmenting brain tumors in fMRI images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/acu-net-attention-based-convolutional-u-net-model-for-segmenting-brain-tumors-in-fmri-images.
BibTeX@misc{4ortxyz_acu-net-attention-based-convolutional-u-net-model-for-segmenting-brain-tumors-in-fmri-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ACU-Net: Attention-based convolutional U-Net model for segmenting brain tumors in fMRI images}}, year = {2026}, url = {https://4ort.xyz/entity/acu-net-attention-based-convolutional-u-net-model-for-segmenting-brain-tumors-in-fmri-images}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ACU-Net: Attention-based convolutional U-Net model for segmenting brain tumors in fMRI images — https://4ort.xyz/entity/acu-net-attention-based-convolutional-u-net-model-for-segmenting-brain-tumors-in-fmri-images (retrieved 2026-05-24)