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Found 4 papers, 1 papers with code
Clinical Risk Prediction Using Language Models: Benefits And Considerations
Previous research has addressed this data limitation by incorporating medical ontologies and employing transfer learning methods.
GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data Sources
Our method combines the estimation of a dependency graph and conditional probabilities from the target location with the use of a Gaussian copula to leverage the available information from the auxiliary locations.
Limited View and Sparse Photoacoustic Tomography for Neuroimaging with Deep Learning
Photoacoustic tomography (PAT) is a nonionizing imaging modality capable of acquiring high contrast and resolution images of optical absorption at depths greater than traditional optical imaging techniques.
Fully Dense UNet for 2D Sparse Photoacoustic Tomography Artifact Removal
Photoacoustic imaging is an emerging imaging modality that is based upon the photoacoustic effect.
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