mri

GLI-AL is a new label resource for glioma MRI that unifies anatomy and lesion labels, expanding supervision to include healthy tissues and previously unlabeled abnormalities. It provides 1,251 label sets aligned with BraTS-GLI cases.

This paper proposes PhyMRI-SR, a physics-aware MRI super-resolution method that uses Gaussian splatting and physics-constrained modeling to dynamically adapt resolution-SNR configurations, achieving state-of-the-art performance.

NeuroBridge is a clinically guided multi-task MRI framework for diagnosing Alzheimer's disease and mild cognitive impairment, achieving high accuracy and cross-cohort generalization.

This paper presents an automated deep learning approach for brain tumor detection in MRI images using CNN and ResNet architectures with transfer learning, achieving up to 97% accuracy.

Mark Gurman reports that Midjourney's big hardware debut is a full body scanner aiming to disrupt the MRI market, along with a spa.

Midjourney, known for AI image generation, has developed a new technology that is described as the sequel to the MRI, likely advancing medical imaging capabilities.

This paper proposes an extended family of structured spatial priors combining total variation (TV) with ℓ_p norms for Bayesian T1 mapping, enabling uncertainty quantification. The method is evaluated on synthetic and real MRI datasets, showing improved spatial coherence and reduced uncertainty.

A 2017 presentation by David Donoho at the AMS discusses how high-dimensional geometry is revolutionizing the MRI industry, likely through compressed sensing and related mathematical techniques.