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 ...
Abstract: Conventional computer vision pipelines typically treat low-level enhancement and high-level semantic tasks as isolated processes, focusing on optimizing enhancement for perceptual quality ...
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