arXiv (All)
open access
Enhancing brain age estimation with structural MRI and synthesized cerebral blood volume maps
BrainAGE is a promising imaging-derived biomarker of neurobiological ageing and disease risk, yet current approaches rely predominantly on T1-weighted structural MRI, overlooking functional vascular changes that may precede tissue damage and cognitive decline. DeepCBV maps, synthesized from non-cont
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
- RegionFM: Interpretable Region-Based Brain MRI Classification Using Foundation Model Embeddings#800104
- p-Brain: A Modular Open-Source Framework for Automated Quantitative DCE-MRI of Cerebral Perfusion, Microvasculature, and Blood-Brain Barrier Permeability.#1147203
- Impact of simulated MRI artifacts on deep learning-based brain age prediction#133112
- Impact of simulated MRI artifacts on deep learning-based brain age prediction#131035
- MRI of Myocardial Infarction#898233
Record · ID 821678
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