Learning Subject-Specific Anatomical Representations via Manifold Expansion: Application to Accelerated Multi-Contrast MRI
cs.CV, cs.IR
Submitted: 2026-10-02
Updated: 2026-10-02
Code: https://github.com/NVlabs/tiny-cuda-nn
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- An Adaptive, Disentangled Representation for Multidimensional MRI Reconstruction
- Disentangled Learning Improves Implicit Neural Representations for Medical Reconstruction
- Adam: A Method for Stochastic Optimization
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