We introduce MHVAE, a deep hierarchical variational auto-encoder (VAE) t...
Self-supervised representation learning on image-text data facilitates
c...
Image-text multimodal representation learning aligns data across modalit...
Neuroimaging-based prediction of neurocognitive measures is valuable for...
In recent years, learning-based image registration methods have graduall...
We demonstrate an object tracking method for 3D images with fixed
comput...
We propose and demonstrate a representation learning approach by maximiz...
Estimating mutual information between continuous random variables is oft...