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Dual-stream spatiotemporal networks with feature sharing for monitoring animals in the home cage
This paper presents a spatiotemporal deep learning approach for mouse behavioural classification in the home-cage.
Unsupervised detection of mouse behavioural anomalies using two-stream convolutional autoencoders
The two models presented in this paper are a dual-stream, 3D convolutional autoencoder (with residual connections) and a dual-stream, 2D convolutional autoencoder.
A Unified Deep Learning Approach for Prediction of Parkinson's Disease
The paper presents a novel approach, based on deep learning, for diagnosis of Parkinson's disease through medical imaging.
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