Ertürk, Korhan Levent

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/8138
Name Variants
Ertürk, Korhan L.
Korhan Levent, Ertürk
Ertürk, Korhan Levent
K.L.Erturk
Erturk,K.L.
Erturk, Korhan Levent
K.,Ertürk
K., Erturk
Ertürk,K.L.
E., Korhan Levent
Korhan Levent, Erturk
K.L.Ertürk
E.,Korhan Levent
Job Title
Doçent Doktor
Email Address
korhan.erturk@atilim.edu.tr
Main Affiliation
Information Systems Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
1
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GENDER EQUALITY5
GENDER EQUALITY
0
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
2
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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CLIMATE ACTION13
CLIMATE ACTION
0
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
1
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
2
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
2
Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

24

Articles

14

Views / Downloads

24/123

Supervised MSc Theses

8

Supervised PhD Theses

0

WoS Citation Count

23

Scopus Citation Count

33

Patents

0

Projects

0

WoS Citations per Publication

0.96

Scopus Citations per Publication

1.38

Open Access Source

6

Supervised Theses

8

JournalCount
Bilgi Dünyası3
Türk Kütüphaneciliği2
Biomedical Research (India)1
Communications in Computer and Information Science -- 3rd International Symposium on Information Management in a Changing World, IMCW 2012 -- 19 September 2012 through 21 September 2012 -- Ankara -- 927221
IEEE Transactions on Geoscience and Remote Sensing1
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Author: Sengul, Gokhan

Scholarly Output Search Results

Now showing 1 - 4 of 4
  • Thumbnail Image
    Article
    Citation - WoS: 8
    Citation - Scopus: 13
    White Blood Cells Classifications by SURF Image Matching, PCA and Dendrogram
    (Allied Acad, 2015) Nazlibilek, Sedat; Karacor, Deniz; Erturk, Korhan Levent; Sengul, Gokhan; Ercan, Tuncay; Aliew, Fuad; Department of Mechatronics Engineering; Information Systems Engineering; Computer Engineering
    Determination and classification of white blood cells are very important for diagnosing many diseases. The number of white blood cells and morphological changes or blasts of them provide valuable information for the positive results of the diseases such as Acute Lymphocytic Leucomia (ALL). Recognition and classification of white cells as basophils, lymphocytes, neutrophils, monocytes and eosinophils also give additional information for the diagnosis of many diseases. We are developing an automatic process for counting, size determination and classification of white blood cells. In this paper, we give the results of the classification process for which we experienced a study with hundreds of images of white blood cells. This process will help to diagnose especially ALL disease in a fast and automatic way. Three methods are used for classification of five types of white blood cells. The first one is a new algorithm utilizing image matching for classification that is called the Speed-Up Robust Feature detector (SURF). The second one is the PCA that gives the advantage of dimension reduction. The third is the classification tree called dendrogram following the PCA. Satisfactory results are obtained by two techniques.
  • Thumbnail Image
    Article
    Citation - WoS: 1
    Citation - Scopus: 3
    Three-Dimensional Visualization With Large Data Sets: a Simulation of Spreading Cortical Depression in Human Brain
    (Hindawi Publishing Corporation, 2012) Erturk, Korhan Levent; Sengul, Gokhan
    We developed 3D simulation software of human organs/tissues; we developed a database to store the related data, a data management system to manage the created data, and a metadata system for the management of data. This approach provides two benefits: first of all the developed system does not require to keep the patient's/subject's medical images on the system, providing less memory usage. Besides the system also provides 3D simulation and modification options, which will help clinicians to use necessary tools for visualization and modification operations. The developed system is tested in a case study, in which a 3D human brain model is created and simulated from 2D MRI images of a human brain, and we extended the 3D model to include the spreading cortical depression (SCD) wave front, which is an electrical phoneme that is believed to cause the migraine.
  • Thumbnail Image
    Article
    Analysis of Turkey's Institutional Open Repositories: an Example of Dokuz Eylul University Institutional Open Repository
    (Turkish Librarians Assoc, 2012) Erturk, Korhan Levent; Sengul, Gokhan
    After the declaration of the Budapest Open Access Initiative in 2001, institutional open repositories are known as the most important tool of the self archiving, which is also known as green road. There are 26 institutional repositories, which are all compatible to international standards. All the institutional open repositories of Turkey mentioned before are listed in international open archive directories. In this study institutional open repository of Dokuz Eylul University is examined and institutional open repositories of Turkey are discussed.
  • Thumbnail Image
    Conference Object
    Citation - WoS: 1
    Self Archiving in Atilim University
    (Springer-verlag Berlin, 2012) Erturk, Korhan Levent; Sengul, Gokhan
    Self archiving is defined as storing the scientific research outputs in researchers' own web pages/sites, organizational web sites or institutional repositories. In this study the self archiving activities of academicians of Atilim University are investigated. For the purpose of the study the web pages of the university, personal web pages of the academicians and open repository of the university are explored. We found the details of 2176 academic activities of the instructors in web pages. More than half of these activities (1147 - 53%) consist of refereed journal papers. Almost a quarter of the instructors saved their research outputs in the university's open repository. Yet, those instructors have not published their works in their personal web pages or institutional web pages. Only 4% of the works are published in personal/organizational web pages. According to the results obtained, the usage of institutional repository is the common self archiving method in the Atilim University. On the other hand, the personal/organizational web pages should be as a point of attraction in self archiving. While discussing the efficient usage of the institutional repository, we suggest that the social networks as a meeting point should include links to personal/institutional web pages containing academicians' papers.