arXiv (All)
open access
QureRadEmbed: Structuring Radiological Similarity through Attribute and Reasoning Supervision
Radiological similarity depends on disease relationships and on fine details such as laterality, lobe, severity, size, and certainty. Broad biomedical similarity can overlook these qualifiers, particularly when several attributes vary together. We introduce QureRadEmbed, a 4B radiology-aware encoder
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- A scalable exemplar-based method for aligning biological taxonomies#313986
- Biomedical ontology alignment: An approach based on representation learning#745788
- Diversity-disease relationships data#609494
- Artificial intelligence for pulmonary embolism detection: Is it comparable to radiology residents?#412893
- Pooling multimodal cancer data across unaligned embedding spaces maintains tumor of origin signal.#418381
Record · ID 1117787
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive