Denoising task fMRI data for image reconstructions: Denoising of Functional Magnetic Resonance Imaging (fMRI) Data for Improved Visual Stimulus Reconstruction using Machine Learning

This study aims to investigate the impact of various denoising algorithms on the quality of visual stimulus reconstructions based on functional magnetic resonance imaging (fMRI) data. While fMRI provides a valuable, noninvasive method for assessing brain activity, the reliability of this data can be impaired by multiple noise types, including...

Monitoring hardware utilization when training on GPUs in distributed machine learning

Large­scale machine learning frameworks can accelerate training of a neural network by per­ forming distributed training on a cluster using multiple GPUs per node and multiple nodes. Because distributed training on a cluster involves many nodes which need to communicate and load and exchange data, a machine learning framework may at certain...