spectraMR: A Multi-Paradigm Research Framework for MRI Reconstruction, Super-Resolution, and Generative Modelling
spectraMR is a research framework for MRI reconstruction, super-resolution and generative modelling. It spans GAN, diffusion (including cold and latent diffusion), VAE/VQ-VAE, masked-autoencoder and self-supervised pretraining, reconstruction-only, domain-adaptation, physics-driven, disentangled, sensitivity-estimation (PINN), cycle-Bloch, flow, state-space (Mamba), magnetic-resonance-fingerprinting, fMRI and active/learnable-acquisition paradigms behind one configuration schema. Complex k-space is handled through centred, orthonormally-scaled FFT operators rather than raw transforms; configuration is nested, frozen and loaded once; component
Resource information
- Format
- gz, whl
- Original repository
- 23891675
- DOI
- 10.5281/zenodo.23891675
- Credit basis
- Creators in Zenodo record metadata
- Access
- Open files available from the original Zenodo deposit
- Last checked
- Nov 5, 2026
- License
- apache2.0
- Last record update
- Nov 5, 2026
About this resource
spectraMR is a research framework for MRI reconstruction, super-resolution and generative modelling. It spans GAN, diffusion (including cold and latent diffusion), VAE/VQ-VAE, masked-autoencoder and self-supervised pretraining, reconstruction-only, domain-adaptation, physics-driven, disentangled, sensitivity-estimation (PINN), cycle-Bloch, flow, state-space (Mamba), magnetic-resonance-fingerprinting, fMRI and active/learnable-acquisition paradigms behind one configuration schema. Complex k-space is handled through centred, orthonormally-scaled FFT operators rather than raw transforms; configuration is nested, frozen and loaded once; components resolve through registries and a dependency-injection container rather than dispatch chains. Heavy pipelines run on an accelerator or raise, with no silent CPU fallback. Not for clinical use. This is research software. It is not a medical device and has not been evaluated by any regulatory authority.