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Found 3 papers, 2 papers with code
Disentangling representations of retinal images with generative models
Retinal fundus images play a crucial role in the early detection of eye diseases and, using deep learning approaches, recent studies have even demonstrated their potential for detecting cardiovascular risk factors and neurological disorders.
Most discriminative stimuli for functional cell type clustering
Thus, for unbiased identification of the functional cell types in retina and visual cortex, new approaches are needed.
Local policy search with Bayesian optimization
We develop an algorithm utilizing a probabilistic model of the objective function and its gradient.
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