GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images
Summary
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images is a scholarly article[1].
Key Facts
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images'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). GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/gren-graph-regularized-embedding-network-for-weakly-supervised-disease-localization-in-x-ray-images
MLA“GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gren-graph-regularized-embedding-network-for-weakly-supervised-disease-localization-in-x-ray-images.
BibTeX@misc{4ortxyz_gren-graph-regularized-embedding-network-for-weakly-supervised-disease-localization-in-x-ray-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images}}, year = {2026}, url = {https://4ort.xyz/entity/gren-graph-regularized-embedding-network-for-weakly-supervised-disease-localization-in-x-ray-images}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images — https://4ort.xyz/entity/gren-graph-regularized-embedding-network-for-weakly-supervised-disease-localization-in-x-ray-images (retrieved 2026-05-24)
