Jing-hao Xue, Su Ruan, Bruno Moretti, Marinette Revenu & Daniel Bloyet 2001, `Knowledge-based Segmentation And Labeling of brain structure fromMRI images', Elsevier on Pattern Recognition Letters , vol.22, no. 3-4,pp. 395-405. 2001...
The sense of loss of self that individuals with traumatic brain injuries (TBI) experience when they interact with society is explored in this article. An individual with TBI believes that others possess the power to label him or her. The labels, whether their connotations are negative or positiv...
We have presented a mega-analysis of patients with Parkinson’s disease with and without visual hallucinations, demonstrating widespread alterations in brain structure, with differential effects for cortical thickness and surface area and examined their relationship to receptor distributions and network-level...
threat) structure and excellent psychometric properties, including high test–retest reliability and measurement invariance across gender40. The LODESTARS yields two scores for each participant: a social reward expectancy (SRE) score and a social threat expectancy (STE) score, both of which...
students and learners would benefit the most if they have an opportunity to make sense of information by using a context, finding some level of relatability, real-life application, innate structure, labels and limitations/boundaries, and relevance. Using language and labels is important to make inf...
Recall-trained models performed above chance again during renewal with cocaine-LED preference re-expression (Figure 3E; p = 1.364×10−2, 1-sample t test; see also Figure S4D). This suggested that the preservation of spiking activity structure from recall to renewal related to the mnemonic ...
ThecalculateBlockMetricshelper function performs semantic segmentation of a block, and calculates the confusion matrix between the predicted and ground truth labels. The function returns a structure with fields containing the confusion matrix and metadata about the block. You can use the structure with ...
As such, it offers the ability to help facilitate a broad range of investigations into brain structure and function both at the neonatal time point and developmentally across the lifespan. 展开 关键词: newborn, parcellation, segmentation, infant, ground truth, manual tracing ...
b, A deep-learning model reconstructs high-mass-resolving and high-SNR MS data from the low-mass-resolution measurements acquired with fast acquisitions by exploiting a low-dimensional manifold structure for high-dimensional MS data, producing large datasets with millions of pixels, which was ...
(granularities) and applies these models in a hierarchical structure. Using the adult reference of 31 primary cell types at the first-level of annotation, scAnnot selects 200 feature genes for each cell type-trained machine learning model with different hyperparameters (Supplementary Fig.4). Then...