Brain cancers account for <1,5% of all new cancer cases reported in the United States each year. Due to their invasive and heterogeneous nature, in addition to their resistance to multimodal treatments, these tumors are usually fatal. Gliomas, and in particular high-grade astrocytomas such as glioblastoma multiforme (GBM), are the most common and lethal primary tumors of the central nervous sys...

This work investigates a novel 3D multimodal deformable registration method to align high-resolution magnetic resonance imaging (MRI) with cine MRI of the tongue for better visual and motion analysis. Both modalities have different strengths to characterize and analyze the tongue structure or motion. Visual and motion analysis of combined anatomical and temporal information can synergistically ...

We present an end-to-end, multimodal, fully convolutional network for extracting semantic structures from document images. We consider document semantic structure extraction as a pixel-wise segmentation task, and propose a unified model that classifies pixels based not only on their visual appearance, as in the traditional page segmentation task, but also on the content of underlying text. More...

Treatment of intrahepatic cholangiocarcinoma remains a major challenge. For an unresectable lesion without extrahepatic spread, liver transplantation could be a potential solution but it is still associated with poor oncologic results owing to the absence of effective neoadjuvant treatment. We report the case of a young man with locally advanced intrahepatic cholangiocarcinoma presenting with m...

Urban transportation systems are multimodal, sociotechnical systems; however, while their multimodal aspect has received extensive attention in recent literature on multiplex networks, their sociotechnical aspect has been largely neglected. We present the first study of an urban transportation system using multiplex network analysis and validated Origin-Destination travel demand, with Riyadh's ...

Hybrid imaging techniques provide enhanced visualization of biological targets by synergistically combining multiple imaging modalities, thereby providing information on specific aspects of structure and function, which is difficult to obtain by a single imaging modality. Advances in the field of hybrid imaging have resulted in the recent approval of PET/magnetic resonance (MR) imaging by the U...

[1] The multimodal structure of the baroclinic tides in the Strait of Gibraltar is studied using observations and numerical simulations. Observational data and model results revealed the presence of two types of tidal internal waves generated over Camarinal Sill (CS). One propagates toward the Mediterranean and disintegrates into series of nonlinear short internal waves with amplitudes of 50 m ...

The ultimate challenge of the semantic multimedia database research is to provide a system that can retrieve the most relevant and semantically accurate multimedia data (image, audio, text) according to the user requirement. In order to cope with this challenge there is a need for a system that can efficiently and effectively index the multimedia data. This paper provides an overview of multimo...

This paper describes a framework for multimodal categorial systems, i.e. systems that allow different modes of logical behaviour to be displayed within a single system. From a linguistic point of view, this characteristic amounts to making available multiple modes of linguistic description within a single formalism. A key advantage is that when it comes to treating a given phenomenon, the multi...

The paper describes software combining parametric geometric modeling with a version of the harmony search method, modified to support multimodal structural optimization. Researchers have recognized the potential of population-based optimization methods, such as genetic algorithms, to support multimodal optimization: that is, generating a diverse range of good alternative solutions, rather than ...