arXiv (All)
open access
Anatomy-Aligned Surface Field Learning for Myocardial Reconstruction from Sparse Short-Axis Cine MRI
Patient-specific 4D myocardial reconstruction from cine MRI supports quantitative functional assessment, regional motion analysis, and simulation-based modeling. However, routinely acquired short-axis (SAX) cine MRI is sparsely sampled along the through-plane direction, making dense and anatomically
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
- Segmentation of the aorta in 4D flow MRI using 4D convolutional kernels and learning from sparse annotations#927728
- Real-time MRI for Evaluating Cardiac Volumetry#918552
- NeCA: 3D coronary artery tree reconstruction from two 2D projections via neural implicit representation#225000
- Patch-Based Diffusion Reconstruction for Accelerated Cardiac Cine#793160
- Patch-Based Diffusion Reconstruction for Accelerated Cardiac Cine#789156
Record · ID 1077752
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