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Rukiye KARAKIS
Rukiye KARAKIS
Department of Software Engineering, Faculty of Technology, Sivas Cumhuriyet University
Bestätigte E-Mail-Adresse bei cumhuriyet.edu.tr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Postgraduate students’ attitudes towards distance learning (The case study of Gazi University)
AH Isik, R Karakis, G Güler
Procedia-Social and Behavioral Sciences 9, 218-222, 2010
852010
A novel fuzzy logic-based image steganography method to ensure medical data security
R Karakış, İ Güler, I Çapraz, E Bilir
Computers in biology and medicine 67, 172-183, 2015
842015
Interpretation of MR images using self-organizing maps and knowledge-based expert systems
İ Güler, A Demirhan, R Karakış
Digital Signal Processing 19 (4), 668-677, 2009
572009
A genetic algorithm model based on artificial neural network for prediction of the axillary lymph node status in breastcancer
R Karakış, M Tez, YA Kılıç, Y Kuru, İ Güler
Engineering Applications of Artificial Intelligence 26 (3), 945-950, 2013
502013
Brain tumors classification with deep learning using data augmentation
K GURKAHRAMAN, R KARAKIŞ
Journal of the Faculty of Engineering and Architecture of Gazi University 36 …, 2021
42*2021
Deep learning prediction of motor performance in stroke individuals using neuroimaging data
R Karakis, K Gurkahraman, GD Mitsis, MH Boudrias
Journal of Biomedical Informatics 141, 104357, 2023
172023
Real-time detection of acromegaly from facial images with artificial intelligence
M Kizilgul, R Karakis, N Dogan, H Bostan, MM Yapici, U Gul, B Ucan, ...
European journal of endocrinology 188 (1), 158-165, 2023
142023
A new method of fuzzy logic-based steganography for the security of medical images
R Karakış, İ Güler, İ Çapraz, E Bilir
2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015
122015
MR images restoration with the use of fuzzy filter having adaptive membership parameters
İ Güler, A Toprak, A Demirhan, R Karakış
Journal of Medical Systems 32, 229-234, 2008
122008
Feature selection in pulmonary function test data with machine learning methods
R Karakış, İ Güler, AH Işık
2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013
112013
Gazi Üniversitesi Bilişim Enstitüsü web sayfasının kullanılabilirlik analizi
AH Işık, R Karakış, İ Güler
2nd International Conference on New Trends in Education and Their …, 2011
102011
Classification the axillary lymph node status of breast cancer patients with the analysis of pattern recognition
R Karakış, M Tez, İ Güler
2011 IEEE 19th Signal Processing and Communications Applications Conference …, 2011
92011
Comparison of deep learning methods for the radiographic detection of patients with different periodontitis stages
B Guler Ayyildiz, R Karakis, B Terzioglu, D Ozdemir
Dentomaxillofacial Radiology 53 (1), 32-42, 2024
82024
Improving Brain Tumor Classification with Deep Learning Using Synthetic Data
MM Yapici, R Karakis, K Gurkahraman
CMC-Computers, Materials & Continua 74 (3), 5049-5067, 2023
82023
MI-STEG: A Medical Image Steganalysis Framework Based on Ensemble Deep Learning
R Karakis
CMC-Computers, Materials & Continua 74 (3), 4649-4666, 2023
72023
Evaluation of segmented brain regions for medical image steganography
R KARAKIŞ, K GURKAHRAMAN, B Çiğdem, I OZTOPRAK, ...
Journal of the Faculty of Engineering and Architecture of Gazi University 36 …, 2021
72021
A wiki application for artificial neural network course in engineering education
G Çetin, R Karakış
2012 15th International Conference on Interactive Collaborative Learning …, 2012
72012
Yapay sinir ağları ve lojistik regresyon yöntemleri ile meme kanseri koltuk altı lenf nodu durumunun belirlenmesi [Prediction of the axillary lymph node status in breast cancer …
R Karakış
Yayınlanmamış Yüksek Lisans Tezi, Gazi Üniversitesi, 2009
62009
Steganalysis on medical images with support vector machine
FBM Özcan, R Karakiş, İ Güler
2020 28th Signal Processing and Communications Applications Conference (SIU …, 2020
52020
Steganography and medical data security
R Karakis, I Guler
Cryptographic and Information Security Approaches for Images and Videos, 627-660, 2018
52018
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