Background: mechanical bowel preparation (MBP) is a common practice before laparoscopic gynecologic surgeries but the role and efficacy of preparation have been questioned. this study assesses visualization and bowel handling in a group of patients who receive MBP and the control group and thereafter; compares the results. Methods: We designed and conducted this randomized, single-blinded and ...

A scalable parallel visualization algorithm has been designed to visualize large datasets that are spatially decomposed onto processors of a massively parallel computer. The ParaViz algorithm, which is based on hybrid sort-first/sort-last parallel visualization, employs distributed visibility ordering to implement a scalable hierarchical depth buffer. A visibility rank is computed for each proc...

We present an interactive tool for visualization of medical imaging pipelines that are built with Nipype, a freely available tool for building pipelines programatically. Our tool enables researchers to interact with their pipelines, visualize the pipeline structure, and view their intermediate and final results. We also provide a video and live demonstration of our tool for a simple brain image...

We present a method for the visualization of volumetric caustics in single-scattering participating media. The caustics beams are generated from a projected grid in light’s image space, making the solution independent from the geometric complexity of generators. The caustic volumes are extruded in the geometry shader and accumulated into the final volumetric effect.

This paper investigates the potential information provided to the user by the uncertainty measures applied to the possibility distributions associated with the spatial units of an IKONOS satellite image, generated by two fuzzy classifiers, based, respectively, on the Nearest Neighbour Classifier and the Minimum Distance to Means Classifier. The deviation of the geographic unit characteristics f...

A major challenge in modern data-centric medicine is the increasing amount of time-dependent data, which requires efficient user-friendly solutions for dealing with such data. To create an effective and efficient knowledge discovery process, it is important to support common data manipulation tasks by creating quick, responsive and intuitive interaction methods. In this paper we describe some m...

The repeated grouping of genes across module sets produced by different module discovery methods may prove to be biologically significant in the area of functional genomics. To ease in the exploration of these overlapping groups of genes, we introduce ModVis, a software tool that allows for the interactive visualization of module discovery data, with an emphasis on the overlap between data sets...

The paper presents the intermediate results of the research, the final goal of which is to develop the universal algorithm for process diagrams automatic visualization by text description of these processes. The purpose of this study is to check the use of verbs as markers for the semantic labeling of long fragments in scientific texts.

This chapter reviews visualization techniques that can not only be utilized to map the evergrowing domain structure of scientific disciplines but that also support information retrieval and classification. In contrast to the comprehensive surveys done in a traditional way by Howard White and Katherine McCain (1997; 1998), the current survey not only reviews emerging techniques in interactive da...

Ontologies are building blocks of the Semantic Web and are essential for knowledge representation and data integration. Interactive visualization is an important tool for the understanding of ontologies, especially large ones. In this paper, we present a novel hierarchical ontology visualization method for effectively visualizing an ontology’s global landmarks, local structure and individual cl...