In the context of pervasive environments, multimodal interaction plays a pivotal role because multimodality provides flexibility and naturalness for interaction. The challenge of multimodal interfaces in pervasive environments is then to build reliable and autonomic processing systems able to analyze and understand multiple interaction modalities and reconfigure itself in real-time. Addressing ...

Multimodality image registration and fusion have a key role in routine diagnosis, staging, restaging, and the assessment of response to treatment, surgery, and radiotherapy planning of malignant disease. The complementarity between anatomic (CT and MR imaging) and molecular (SPECT and PET) imaging modalities is well established and the role of fusion imaging widely recognized as a central piece...

Many initial developments in multimodality focused on systems with unconstrained set of resources, such as those found in desktops, kiosks and rooms with high performance processors, large displays and hi-fidelity audio capabilities. In contrast, mobile cellular handsets are highly constrained, characterized by small screens, restrictive keyboards and intermittent network connectivity. Despite ...

We estimate the evolution of conditional joint distribution economic and financial conditions. Although is approximately Gaussian during normal periods, sharp tightenings conditions lead to emergence additional modes. The U.S. economy has historically resolved quickly “good” mode, but we conjecture that poor policy choices could prolonged periods multimodality. argue multimodality arises natura...

Serious games have become an important genre of digital media and are often acclaimed for their potential to enhance deeper learning because of their unique technological properties. Yet the discourse has largely remained at a conceptual level. For an empirical evaluation of educational games, extra effort is needed to separate intertwined and confounding factors in order to manipulate and thus...

Deep learning has achieved state-of-the-art performances in several research applications nowadays: from computer vision to bioinformatics, object detection image generation. In the context of such newly developed deep-learning approaches, we can define concept multimodality. The objective this field is implement methodologies which use modalities as input features perform predictions. this, th...

This review summarizes the contents of a workshop on multimodality management for Barcelona Clinic Liver Cancer (BCLC) stage C hepatocellular carcinoma (HCC) held on July 6, 2013, under the auspices of the 4th Asia-Pacific Primary Liver Cancer Expert Meeting Scientific Advisory Committee. BCLC stage C HCC represents a varied disease spectrum and, therefore, further stratification of BCLC stage ...

Combining two or more different imaging modalities in the same agent can be of considerable value in molecular imaging. We describe the use of streptavidin nanoparticle-based complexes as multimodality imaging agents to achieve tumor detection in a mouse model by both fluorescence and nuclear imaging. Up to four biotinylated functionalities can be readily attached to these streptavidin nanopart...

BACKGROUND Desmoplastic small round cell tumor (DSRCT) is a rare malignant neoplasm of adolescent males. Current multimodality treatment prolongs life and rarely achieves cure. AIM To review the presenting features, histopathology and outcome of 18 patients with DSRCT treated at a single institution. SETTING AND DESIGN This is a retrospective observational study of patients with DSRCT who p...

A simulator study was conducted to compare 16 younger (mean age 22 years) and 16 older (mean age 68 years) drivers' ratings of workload (time, visual, psychological stress) and performance of navigation and button-pushing (identification of vehicle or road hazards) tasks under both high- and low-load driving conditions when simple or complex advanced traveller information (ATI) was presented vi...