Combined MR brain segmentation

The paper presents a new approach to segmentation of brain from the MR studies. The method is fully automated, very efficient, and quick. The main point of this algorithm is subtraction of T1 series form T2 series (therefore we called it combined), followed by a few image processing steps.The method has been tested using the data sets from three sources. The results were compared numerically to those produced by experts. They indicate great effectiveness of the presented algorithm

Professionally designed and developed OpenMP parser for the Ada programming language using flex

This paper describes a new version of OpenMP parser for Ada. AdaOMP consists of: OpenMP compiler for Ada and Ada package with OpenMP routines and variables. We show how compiler writing can be improved by the use of professional tool - flex - lexical analyzer, for kernel creation. In this paper we focus on describing steps leading to parser creation. We will explain some implementation details and present the results of using the OpenMP parser on sequential programs

OpenMP parser for Ada

This paper describes OpenMP parser for Ada, which is meant to make parallel programming in Ada simpler. We present different approaches to parallel programming and advantages of OpenMP solution. Next, implemented directives and clauses are described, and appropriated examples given. General look at parsing algorithm is presented in another part of this article. Finally, we present the source code of sequential program written in OpenMP Ada transformed into the parallel program by presented parser