Sentence examples for using the multimodal computing from inspiring English sources

In this section, we summarize how these neuroimaging techniques can be integrated using the multimodal computing methods, and further demonstrate their applications in neuropsychiatric disorders as well as in stroke, traumatic brain injury (TBI), brain tumors, and the brain connectome (Fig. 4).

There is a rising trend of using the multimodal neuroimaging approaches in neuropsychiatric disorders, as shown in Fig. 1.

Data were analysed using the multimodal number distribution software included with the instrument.

The results are promising indications that multimodal chromatography using the appropriate multimodal ligands can be employed in downstream bioprocessing for challenging selective separation of product related variants.

We review the current workflows and methods for multimodal neuroimaging computing, and also demonstrate how to conduct research using the established neuroimaging computing packages and platforms.

The travel times are obtained as results of the simulation of the multimodal network using the software EMME [15].

This simple example illustrates the potential pitfalls of using the standard SSA for multimodal systems with long switching time-scales.

In this paper, we review the state-of-the-art methods and workflows for both modality-specific neuroimaging computing and multimodal neuroimaging computing, and demonstrate how to conduct multimodal neuroimaging research using the established packages and platforms.

For multimodal computing, the white matter tracts were visualized using the Slicer Tractography Interactive Seeding module, which allows users to mark the image with fiducials, and then move it around the tumor to visualize the peritumoral fiber tracts.

Experimental results are obtained for both multimodal speech processing tasks using the BHT-SB and the MHT-SB functions.

Table  4 shows diagnostic performance of LN status with multimodal breast imaging assessed using the Chi-square test.