Lower extremity orthopedic disorders, particularly degenerative diseases and related deformities, are a leading cause of pain and disability worldwide, ...
Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Abstract: Incoherent k-space undersampling and deep learning-based reconstruction methods have shown great success in accelerating MRI. However, the performance of most previous methods will degrade ...
Abstract: Deep learning-based reconstruction for MRI has attracted attention as an effective method for reducing reconstruction time and improving reconstructed image quality. In an application of ...
MapAnything is an open-source research framework for universal metric 3D reconstruction. At its core is a simple, end-to-end trained transformer model that directly regresses the factored metric 3D ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results