This paper reports on a new computational methodology, inter-slice correspondence (ISC), for robustly aligning sets of 2D ultrasound (US) slices during image-guided medical procedures. Correspondences are derived from distinctive, local scale-invariant features, which are used in one-to-many matching of US slices in near real-time despite out-of-plane rotation, in addition to global in-plane si...

BACKGROUND Self-citation is one of the main challenges in the evaluation of researchers' scientific output. This study aimed at comparing the institutional self-citation among the universities located in Northern Iran. METHODS This study was conducted as a scientometric study. Research population included all scientific productions of 16 Northern Iran Universities with at least 100 indexed do...

visualization of scientific maps enhances the awareness and general recognition of the scientific domains and their structures. it facilitates the study of the existing situation and planning of the future researches as well. the present study sought to discover and generate the scientific map of medicine in iran between 2003 and 2007. it also aimed to determine the most effective medical subje...

The study of how science is discussed and scholarly actors interact on social media has increasingly become popular in the field scientometrics recent years. While most prior studies focused research outputs global platforms, such as Twitter or Facebook, presence journals local platforms was seldom studied, especially Chinese context. To fill this gap, investigates uptake WeChat (a network app)...

Publication in journals that are indexed in Web of Science© is an important venue for scientific researchers, although previously published papers indicate that there are substantial obstacles for researchers from developing countries. Four critical questions emerge: (1) How to pick a topic that is relevant for publication?, (2) How to select a journal for possible publication of research resul...

An extended notion of a local empirical process indexed by functions is introduced, which includes kernel density and regression function estimators and the conditional empirical process as special cases. Under suitable regularity conditions a central limit theorem and a strong approximation by a sequence of Gaussian processes are established for such processes. A compact law of the iterated lo...

Within functional magnetic resonance imaging (fMRI), the use of the traditional general linear model (GLM) based analysis methods is often restricted to strictly controlled research setups requiring a parametric activation model. Instead, Inter-Subject Correlation (ISC) method is based on voxel-wise correlation between the time series of the subjects, which makes it completely non-parametric an...