Abstract: Magnetic Resonance Imaging (MRI) is widely used for glioma evaluation, but manual segmentation is impractical due to the large data volume. Automated techniques are necessary for precise ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Abstract: Medical image generation plays an important role in clinical applications, particularly in modality translation tasks such as CT-to-MRI synthesis. Compared with supervised methods that rely ...