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Found 4 papers, 1 papers with code
Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model
Automatic Speech Recognition (ASR) is a technology that converts spoken words into text, facilitating interaction between humans and machines.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction
Motion artifact reduction is one of the important research topics in MR imaging, as the motion artifact degrades image quality and makes diagnosis difficult.
Self-supervised Multi-modal Training from Uncurated Image and Reports Enables Zero-shot Oversight Artificial Intelligence in Radiology
Recent advances in vision-language models sheds a light on the long-standing problems of the oversight AI by the understanding both visual and textual concepts and their semantic correspondences.
Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting Bootstrap Aggregation
Recently, deep learning approaches for MR motion artifact correction have been extensively studied.
