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Efficient Medical Question Answering with Knowledge-Augmented Question Generation
In this work, we introduce a method to improve the proficiency of a small language model in the medical domain by employing a two-fold approach.
Mind-to-Image: Projecting Visual Mental Imagination of the Brain from fMRI
The reconstruction of images observed by subjects from fMRI data collected during visual stimuli has made strong progress in the past decade, thanks to the availability of extensive fMRI datasets and advancements in generative models for image generation.
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images
We validate our approach on histology and radiology images, and demonstrate its ability to provide meaningful explanations that are more informative than GradCAM heatmaps.
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