MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment
Med Image Comput Comput Assist Interv. 2023 Oct;14221:723-733. doi: 10.1007/978-3-031-43895-0_68. Epub 2023 Oct 1.ABSTRACTOne of the hallmark symptoms of Parkinson's Disease (PD) is the progressive loss of postural reflexes, which eventually leads to gait difficulties and balance problems. Identifying disruptions in brain function associated with gait impairment could be crucial in better understanding PD motor progression, thus advancing the development of more effective and personalized therapeutics. In this work, we present an explainable, geometric, weighted-graph attention neural network (xGW-GAT) to identify function...
Source: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention - November 20, 2023 Category: Radiology Authors: Favour Nerrise Qingyu Zhao Kathleen L Poston Kilian M Pohl Ehsan Adeli Source Type: research