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Found 3 papers, 3 papers with code
Generative AI for Medical Imaging: extending the MONAI Framework
We have implemented these models in a generalisable fashion, illustrating that their results can be extended to 2D or 3D scenarios, including medical images with different modalities (like CT, MRI, and X-Ray data) and from different anatomical areas.
Neuroadaptive electroencephalography: a proof-of-principle study in infants
Our approach is optimal when theoretical frameworks or previous empirical data are impoverished.
Bayesian optimization for automatic design of face stimuli
Formally, we employ Bayesian optimization to efficiently search the latent space of state-of-the-art GAN models, with the aim to automatically generate novel faces, to maximize an individual subject's response.
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