Cemre Candemir

Ege University · Institute of International Computing

Group forming behaviors are common in many species to overcome environmental challenges. In humans, bonding, trust, group norms, and a shared past increase consolidation of social groups. Being a part of a social group increases resilience to mental stress; conversely, its loss increases vulnerability to depression. However, our knowledge on how so...

INTERNATIONAL CLINICAL PSYCHOPHARMACOLOGY 2023 OUTSTANDING RESEARCH PRESENTATIONS 1st PLACE AWARD

BACKGROUND AND AIM:Depression is associated with impairments in social cognitive functions, resulting in difficulties in interpersonal relationships and social interactions[1]. One prominent brain network that has been studied in relation to depression and social cognition is the Default Mode Network (DMN)[2]. The DMN plays an important role in int...

In functional Magnetic Resonance Imaging (fMRI) studies, the variability in fMRI data, the complexity of the analysis, and the need to correct for multiple comparisons make determining the appropriate sample size challenging. Hence, power analysis becomes an important tool to use for determining the appropriate sample size needed to achieve reliabl...

Spatial smoothing is a preprocessing step applied to neuroimaging data to enhance data quality by reducing noise and artifacts. However, selecting an appropriate smoothing kernel size can be challenging as it can lead to undesired alterations in final images and functional connectivity networks. However, there is no sufficient information about the...

One of the emerging fields in functional magnetic resonance imaging (fMRI) is the decoding of different stimulations. The underlying idea is to reveal the hidden representative signal patterns of various fMRI tasks for achieving high task-classification performance. Unfortunately, when multiple tasks are processed, performance remains limited due t...

Functional magnetic resonance imaging (fMRI) studies have achievements towards boosted promising outcomes due to deep applications. One of the emerging but rarely studied fields in this area is the decoding of differently stimulated tasks. Regarding this, a two-stage fMRI signal classification system is proposed using a deep neural network (DNNs)....

Game theory paradigms allow analyzing experimentally through simulating the cognitive processes required for social cognition, such as perception, learning and decision-making, and actions. In this paper, the trust game paradigm, which is an extensively used task, is studied for measuring the trust. First, the trust game is designed as an fMRI task...

Acute Lymphocytic Leukemia (ALL) is one of the most prevalent types of leukemia which has the risk of death of children is relatively higher than adults. The early diagnosis of this disease is crucial and it can be detected by examining the morphological changes of the blood cells. In this study, we exhibit a comparative study on the automatic clas...

The most common analysis for fMRI images is activation detection, in which the purpose is to find the locations in the brain that respond to specific functions, such as visual processing or motor functions by providing related stimuli as tasks in the experiment. On the other hand, it is also important to detect the instance the activation is trigge...

The main motivation of the study is to accurately predict the type of stimulus from the activation patterns of functional Magnetic Resonance Imaging (fMRI) signals in cases where the type of stimulus not given, or the design of the task is unknown. However, it is a very challenging goal in several aspects. In this context, we propose using long-sho...

We propose using fMRI to study emotional changes related to social support. In this respect, a Social Support fMRI task, which triggers emotional changes was designed and implemented. The detection of emotional changes from fMRI signals has significant importance in understanding the underlying mechanisms of social support. Unfortunately, acquired...

This study presents and discusses the outcomes of different de-noising approaches, which are applied to low SNR real fMRI BOLD signals. These signals are acquired during a psychiatric fMRI experiment that is specifically designed for observing emotional mood changes (EMC). Despite a priori knowledge about activations and change points for motor tas...

Functional magnetic resonance images (fMRI) contains high amount of noise due to their structures. This high noise limits the correct interpretation of the information contained in the signal. In order to interpret the data correctly, it is necessary to eliminate the noise with effective and efficient noise reduction techniques while protecting the...

Küreselleşen dünyada güçlü rekabet ortamı ve farklılaşan tüketicilerin etkisiyle pazarlama anlayışında radikal değişimlerin yaşandığı gözlenmektedir. Bu nedenle işletmeler tüketicileri ve tüketici davranışlarını anlamak için geleneksel yöntemlerin yanında yeni teknikler de kullanmaktadır. İşletmeler içinde bulundukları rekabetçi ortamda gerekli str...

Infertility is a major problem that directly affects many people worldwide. In recent years, fertility rates decreased up to 15% in young men. Changing live conditions, stress level, environmental factors, nutritional habits play an important role on infertility. This paper suggests a novel method estimating semen quality from lifestyle, environmen...

Infertility is a major problem that directly affects many people worldwide. In recent years, fertility rates decreased up to 15% in young men. Changing live conditions, stress level, environmental factors, nutritional habits play an important role on infertility. This paper suggests a novel method estimating semen quality from lifestyle, environmen...

Higher education students coming from different regions and schools have different interests and knowledge levels. These differences can be exploited by teachers to improve the course efficiency. Knowing beforehand the misconceptions and the prior knowledge of the students, the teacher can tune the content of the lecture accordingly. In traditional...

The main purpose of this project is to apply Moodle which is a widely used open source Learning Management System (LMS) especially in European Universities and is to investigate views of stakeholders about Moodle in blended learning environment. For this purpose Moodle software was installed on a server and an in-service training on were given to...

Today's business world is more complex and has uncertain conditions which influence the companies to create effective strategies for the dynamic market. Strategic management has now evolved to such a point that its primary value has evolved to help the organization to operate successfully in intensive competition environment that globalization proc...

This paper suggests the use of radial based neural networks for classification of the landmark points from retina vessels in the retinal vascular images to diagnose the disease in the diabetic retinopathy patients and to track the periodic differences in retinal vessel images. In the suggested method, Gold Standard images from DRIVE database are us...