Spatial data are encountered in several applications and areas of research, such as geographic information systems, multimedia databases, and medical image analysis. Analysis of regions of interest (ROIs) in such data typically requires focusing into specific regions that are of particular interest to ...
eExample V1 and mFus-faces single-voxel data and model fits. Top (bar plots): BOLD responses (β estimates in % signal change) for each of the 25 mapping positions for this voxel, plotted first from left to right, and then top to bottom...
In this work, we propose a novel framework that can identify subjects with early-stage mild cognitive impairment (eMCI) and consider individual variability by learning functional relations from automatically selected regions of interest (ROIs) for each subject concurrently. In particular, we devise a ...
The solution space was restricted to the cortical gray matter in 15,002 voxels with a spatial resolution of 1 mm in the Talairach coordinates32. To group the voxels into functionally similar cortical regions, we employed a total of 148 regions of interest (ROIs) adopted from a standard ...
CaptureSeq is a method for targeted RNA-seq of transcripts expressed from specific genomic regions of interest (ROIs) [63]. The underlying principle, shared with other target-enrichment methods [66,67,68,69], is based on the hybridization of nucleic acid libraries with custom oligonucleotides, ...
Neuroinflammation is involved in the pathogenesis of almost every central nervous system disorder. As the brain’s innate immune cells, microglia fine tune their activity to a dynamic brain environment. Previous studies have shown that repeated bouts of
This method facilitated the identification of a subset of features with the highest impact on predicting ICH post-EVT, while penalizing model complexity to prevent overfitting. Ultimately, 7, 12, and 16 features with non-zero coefficients were chosen to create the Rad score for the intrathrombus,...
A subset of 80 features was selected which gave an AZ of 0.972. Additionally, at 98.6% sensitivity, the classifier had a specificity of 71.3% and increased the positive predictive value from 60.7% to 84.1%. Preliminary results suggest that using SRHOs in combination with perceptrons can provide...
By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection. See our privacy policy for more information on the use of your perso...
Fig. 1. Overview of the proposed methodology. In the first step, the acquisition of the images is performed. Here, data from normal and abnormal mammograms were obtained, and the regions of interest, which constituted mass and non-mass tissues, were extracted. Next, the regions of interest ...