Imaging of renal hyperparathyroidism using SPECT/CT with low-dose localizing CT

Features extracted from the ECG, such as those used in heart rate variability (HRV) analysis, together with the analysis of cardiorespiratory interactions reveal important

cMRI was found to be the most important MRI modality for brain tumor segmentation: when omitting cMRI from the MP-MRI dataset, the decrease in mean Dice score was the largest for

This paves the way for the development of a novel clustering algorithm for the analysis of evolving networks called kernel spectral clustering with memory effect (MKSC), where

To obtain an automated assessment of the acute severity of neonatal brain injury, features used for the parameterization of EEG segments should be correlated with the expert

The systems and algorithms presented in the thesis have the potential to lower the threshold for the adaptation of sensor based food intake monitoring in older adults.. Furthermore,

This paves the way for the development of a novel clustering algorithm for the analysis of evolving networks called kernel spectral clustering with memory effect (MKSC), where

To obtain an automated assessment of the acute severity of neonatal brain injury, features used for the parameterization of EEG segments should be correlated with the expert

As no significant studies have been conducted on creating a framework for the analysis, or for composing of incidental music on an audience during a theatre production,