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, ...
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 ...
Meta tests a new brain-to-text AI using MEG scanners, demonstrating early progress in non-invasive neural decoding without ...
In a paper published in Proceedings of the National Academy of Sciences, researchers from Technion and Tel Aviv University ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results