eScholarship
metadata only
Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty
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
- Domain Elastic Transform: Bayesian Function Registration for High-Dimensional Scientific Data#1013530
- COINSTAC: A Privacy Enabled Model and Prototype for Leveraging and Processing Decentralized Brain Imaging Data#335776
- ADELIA: Automatic Differentiation for Efficient Laplace Inference Approximations#168263
- Imaging progenitor cell differentiation during central nervous system remyelination using an MRI gene reporter#1052939
- Efficient KernelSHAP Explanations for Patch-based 3D Medical Image Segmentation#10383
Record · ID 614653
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