Mahsa Chitsaz

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INTRODUCTION Several species of non-tuberculosis mycobacteria (NTM) can affect humans and can cause either symptomatic or asymptomatic infection.  This study aimed to determine the clinical and radiological manifestation, as well as the treatment, of M. simiae in patients in Masih Daneshvari Hospital, a TB referral hospital in Iran. METHODOLOGY This(More)
Software engineering offers vast variety of methods and tools for improving the quality of software development. As software products seem to be more complex to build than any other engineered artifacts, selecting suitable methods and tools appears to be crucial. Software engineers should possess broad knowledge on various technologies so that their(More)
Image segmentation techniques have been an invaluable task in many domains such as quantification of tissue volumes, medical diagnosis, anatomical structure study, treatment planning, etc. Image segmentation is still a debatable problem due to some issues. Firstly, most image segmentation solutions are problem-based. Secondly, medical image segmentation(More)
Many image segmentation solutions are problem-based. Medical images have very similar grey level and texture among the interested objects. Therefore, medical image segmentation requires improvements although there have been researches done since the last few decades. We design a self-learning framework to extract several objects of interest simultaneously(More)
It is a widely held view in contemporary computational neuroscience that the brain responds to sensory input by producing sparse distributed representations. In this paper we investigate a brain-inspired spatial pooling algorithm that produces such sparse distributed representations by modelling the formation of proximal dendrites associated with(More)
Image segmentation still requires improvements although there have been research work since the last few decades. This is due to some factors. Firstly, most image segmentation solution is problem-based. Secondly, medical image segmentation methods generally have restrictions because medical images have very similar gray level and texture among the(More)
With the current upward trend in semantically annotated data, ontology-based data access (OBDA) was formulated to tackle the problem of data integration and query answering, where an ontology is formalized as a description logic (DL) TBox. In order to meet usability requirements set by users, efforts have been made to equip OBDA system with explanation(More)
Along with the vast usage of ontologies in di↵erent areas, non-standard reasoning tasks have started to emerge such as concept learning which aims to drive new concept definitions from given instance data of an ontology. This paper proposes new scalable approaches in light-weight description logics which rely on an inductive logic technique in favor of an(More)
Along with the vast usage of ontologies in different areas, non-standard reasoning tasks have started to emerge such as concept learning which aims to drive new concept definitions from given instance data of an ontology. This paper proposes new scalable approaches in light-weight description logics which rely on an inductive logic technique in favor of an(More)