GAIR-U-Net: 3D guided attention inception residual u-net for brain tumor segmentation using multimodal MRI images

Research article (Journal of King Saud University - Computer and Information Sciences, 2024) · cited 27× · AI/ML
Press Enter · cited answer in seconds

GAIR-U-Net: 3D guided attention inception residual u-net for brain tumor segmentation using multimodal MRI images

Summary

GAIR-U-Net: 3D guided attention inception residual u-net for brain tumor segmentation using multimodal MRI images is a scholarly article[1].

Key Facts

  • GAIR-U-Net: 3D guided attention inception residual u-net for brain tumor segmentation using multimodal MRI images's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). GAIR-U-Net: 3D guided attention inception residual u-net for brain tumor segmentation using multimodal MRI images. Retrieved May 24, 2026, from https://4ort.xyz/entity/gair-u-net-3d-guided-attention-inception-residual-u-net-for-brain-tumor-segmentation-using-multimodal-mri-images
MLA “GAIR-U-Net: 3D guided attention inception residual u-net for brain tumor segmentation using multimodal MRI images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gair-u-net-3d-guided-attention-inception-residual-u-net-for-brain-tumor-segmentation-using-multimodal-mri-images.
BibTeX @misc{4ortxyz_gair-u-net-3d-guided-attention-inception-residual-u-net-for-brain-tumor-segmentation-using-multimodal-mri-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GAIR-U-Net: 3D guided attention inception residual u-net for brain tumor segmentation using multimodal MRI images}}, year = {2026}, url = {https://4ort.xyz/entity/gair-u-net-3d-guided-attention-inception-residual-u-net-for-brain-tumor-segmentation-using-multimodal-mri-images}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GAIR-U-Net: 3D guided attention inception residual u-net for brain tumor segmentation using multimodal MRI images — https://4ort.xyz/entity/gair-u-net-3d-guided-attention-inception-residual-u-net-for-brain-tumor-segmentation-using-multimodal-mri-images (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/gair-u-net-3d-guided-attention-inception-residual-u-net-for-brain-tumor-segmentation-using-multimodal-mri-images · Last refreshed: