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.

LSOR: Longitudinally-Consistent Self-Organized Representation Learning
Med Image Comput Comput Assist Interv. 2023 Oct;14220:279-289. doi: 10.1007/978-3-031-43907-0_27. Epub 2023 Oct 1.ABSTRACTInterpretability is a key issue when applying deep learning models to longitudinal brain MRIs. One way to address this issue is by visualizing the high-dimensional latent spaces generated by deep learning via self-organizing maps (SOM). SOM separates the latent space into clusters and then maps the cluster centers to a discrete (typically 2D) grid preserving the high-dimensional relationship between clusters. However, learning SOM in a high-dimensional latent space tends to be unstable, especially in a ...
Source: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention - November 14, 2023 Category: Radiology Authors: Jiahong Ouyang Qingyu Zhao Ehsan Adeli Wei Peng Greg Zaharchuk Kilian M Pohl Source Type: research