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, ...
An indicator is a claim, not a fact — and the advisory covering your own network is the one you can least afford to accept ...
Abstract: Developing deep learning models for accurate segmentation of biomedical CT images is challenging due to their complex structures, anatomy variations, noise, and unavailability of sufficient ...
In a paper published in Proceedings of the National Academy of Sciences, researchers from Technion and Tel Aviv University ...
Meta has unveiled Brain2Qwerty v2, an AI system that converts brain activity into text without surgery, bringing assistive ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results