The proposed approach can reliably estimate complex fibre patterns such as sharp bending and fanning, which voxel-wise approaches cannot estimate.
While deterministic mixed-integer nonlinear programming (MINLP) algorithms rely on well-selected initial estimates, the proposed hybrid approach can reliably and steadily solve the problem under random initializations.
The results suggest that the proposed fully automatic segmentation approach can reliably discriminate bony structures from the neighboring air and soft tissue in STE-MR images, which is suitable for generating accurate μ-maps in clinical PET/MR applications.
The aim of this study was to assess whether such an automated threshold-based approach can reliably reproduce functional volumes with 68Ga V/Q PET/CT using our validated visual method as a reference standard.
While our approach can reliably identify point-mutations, deletions, and small insertions, it is limited in its ability to identify large insertions.
This QPCR array approach can reliably detect differences of greater than 1.33 fold (Hoebeeck et al., 2007).
In this study, we investigated whether this approach can reliably discriminate a patient with less severe illness from one with more severe illness.
The wavelet approach can reliably predict the ori and ter regions and the bacterial chromosomes have a strong tendency towards a physical balance between ori and ter.
Considering this fact, our approach can reliably detect interaction types only for genes that show some level of alteration in the expression in the corresponding expression data set.
Our array tomography approach can reliably detect synaptic density differences between our non-demented LBC1936 brain and the AD brain (Fig. 9) and will be an important addition to the LBC1936 study as more tissue becomes available.
