Stochastic Finite-Transition Learning and Exploration for Accelerated MRI Reconstruction
eess.IV, cs.CV, eess.SP
Submitted: 2026-10-09
Updated: 2026-10-09
Code: https://github.com/icon-lab/FLEX-MRI
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Direct Diffusion Bridge using Data Consistency for Inverse Problems
- Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction
- DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency
- Progressive Distillation for Fast Sampling of Diffusion Models
- Flow Matching for Generative Modeling
- Building Normalizing Flows with Stochastic Interpolants
- Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
- Score-Based Generative Modeling through Stochastic Differential Equations
- fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
- UPMRI: Unsupervised Parallel MRI Reconstruction via Projected Conditional Flow Matching
- Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging
- Generative Autoregressive Transformers for Model-Agnostic Federated MRI Reconstruction
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