Sentence examples for probabilistic template from inspiring English sources

ROIs were defined on the basis of the segmented MRI and a probabilistic template as implemented in PVElab [25].

ROIs were defined on the segmented MRI using a probabilistic template as implemented in the PVElab software [33].

In [15, 16], probabilistic templates are used to take into account the possible variations in human shape.

In [109] the threshold value is extracted from a training dataset of rectangular boxes containing pedestrians, then probabilistic templates are exploited to capture the variations in human shape, for managing the case where contrast is low and body parts are missing.

To maximize gray matter (GM) sampling, a probabilistic grey matter template image was derived from SPM [ 30] and added as template ROI (see Appendix).

In parallel, one study has showed preliminary results at 3 T of the construction of a probabilistic atlas and anatomical template of the human cervical and thoracic spinal cord that included CSF and white and gray matter [ 97].

First, rather than the usual template matching methods, a probabilistic approach is taken to define the appearance-based observation model using the Expectation-Maximization technique for likelihood function optimization.

Creating pre-processing and encryption templates, encryption validation and probabilistic record linkage are done at the linkage site (site C).

Figure S2 showed the results of brain segmentation in the DTI native space according to the AAL template as well as the probabilistic tractography of AAL regions Cerebelum_6_R and Cerebelum_4_5_R on two randomly selected subjects (one IGE patient and one healthy control).

We then normalized each subject's data to the template brain space, using segmented probabilistic maps for gray matter, white matter, and cerebro-spinal fluid.

Wang et al. [22] adopt squared templates to replace trivial templates to handle partial occlusion and propose a probabilistic collaborative representation framework, which reduces the complexity in traditional sparse model-based methods.