Publications – Page 13

A Step Towards Preschoolers’ Satisfaction Assessment Support by Facial Expression Emotions Identification (2020)

Children of nowadays grow in a digital landscape, so education has embraced the advantages brought by the multimedia technology progress. Appropriate interactive learning experiences positively influence learners’ performance. However, new challenges occur when the learners are preschoolers, as they are not able to articulate and communicate their experience towards interaction with edutainment applications. In…

Robustness analysis of transferable cellular automata rules optimized for edge detection (2020)

Edge detection is an important component in many computer vision tasks since edges convey information about the objects in an image. This paper presents a comparative analysis of the proposed edge detector with respect to one of the state-of-the-art methods, the Canny edge detector. Our edge detection model involves the supervised optimization of a…

Initial validation of an automatic algorithm for whole heart segmentation from cardiac MRI images using atrial volume determination (2020)

Citare Mărginean, R., Manole, S., Popa, L., Coman, M., Pop, S., Budurea, C., Andreica, A., Dioşan, L., Bálint, Z., Initial validation of an automatic algorithm for whole heart segmentation from cardiac MRI images using atrial volume determination, European congress of radiology (ECR 2020) https://www.myesr.org/congress

An initial study of feature extraction’s methods in facial expression recognition (2019)

Facial Expression Recognition is a sub-branch of Affective Computing that specializes in extracting human emotions and facial features from visual input (images and videos) and tagging them to specific emotion hierarchies. The difficulty of this task lies not only in the subjectivity of distinguishing between human emotional states but, also in the diversity of…

A Transfer Learning Approach on the Optimization of Edge Detectors for Medical Images Using Particle Swarm Optimization (2021)

Edge detection is a fundamental image analysis task, as it provides insight on the content of an image. There are weaknesses in some of the edge detectors developed until now, such as disconnected edges, the impossibility to detect branching edges, or the need for a ground truth that is not always accessible. Therefore, a…

Region-of-Interest-Based Cardiac Image Segmentation with Deep Learning (2021)

Despite the promising results obtained by deep learning methods in the field of medical image segmentation, lack of sufficient data always hinders performance to a certain degree. In this work, we explore the feasibility of applying deep learning methods on a pilot dataset. We present a simple and practical approach to perform segmentation in…

Feasibility of Automatic Seed Generation Applied to Cardiac MRI Image Analysis (2020)

We present a method of using interactive image segmentation algorithms to reduce specific image segmentation problems to the task of finding small sets of pixels identifying the regions of interest. To this end, we empirically show the feasibility of automatically generating seeds for GrowCut, a popular interactive image segmentation algorithm. The principal contribution of…

Butterfly Effect in Chaotic Image Segmentation (2020)

The exploitation of the important features exhibited by the complex systems found in the surrounding natural and artificial space will improve computational model performance. Therefore, the purpose of the current paper is to use cellular automata as a tool simulating complexity, able to bring forth an interesting global behaviour based only on simple, local…

Students perception on the impact of their involvement in the learning process: an empirical study (2021)

Abstract Nowadays, when the changes that appear in programming paradigms and in software process development methodologies are extremely frequent, teaching a Software Engineering related course has become a demanding task. To all these are added changes caused by the dynamics of the society and the traits of the current learners and how they learn. …

Towards Accessibility in Education. An Ontology based approach (2021)

Abstract As the world changes, so does the future of our students. In this respect, the evolution of the technology comes up with specific environments for educational purpose. Building smart learning environments supported by e-learning platforms is an important area of research in education domain within our days. The evolution of these smart learning…