Abstract: In unsupervised medical image registration, encoder-decoder architectures are widely used to predict dense, full-resolution displacement fields from paired images. Despite their popularity, ...

The DDT introduces a condition encoder and a velocity decoder to handle low- and high-frequency components in image generation separately. The encoder extracts semantic features (zt) from noisy inputs ...

For an LLM with billions of parameters ... specific tasks – like analysing legal contracts or triaging medical images – rather than trying to wrangle a large, general-purpose model with ...

“We can encode images into a biological network, let neurons process them, and then decode the neural response ... to accelerate large language model (LLM) training—an area notorious for ...