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2020 – today
- 2024
[c8]Kali Gürkahraman, Rukiye Karakis:
Optimization of Mixed Pooling Using Genetic Algorithm for Convolutional Neural Networks. SIU 2024: 1-4- [c7]Rukiye Karakis, Kali Gürkahraman, Emre Ünsal:
Image Manipulation Detection Using Residual and Dense Connection-based Deep Learning Models. SIU 2024: 1-4 - 2023
- [j7]Kali Gürkahraman
, Rukiye Karakis, Hidayet Takçi:
A Novel Color Image Watermarking Method with Adaptive Scaling Factor Using Similarity-Based Edge Region. Comput. Syst. Sci. Eng. 47(1): 55-77 (2023) - [j6]Rukiye Karakis, Kali Gürkahraman, Georgios D. Mitsis, Marie-Hélène Boudrias:
Deep learning prediction of motor performance in stroke individuals using neuroimaging data. J. Biomed. Informatics 141: 104357 (2023) - 2022
- [c6]Rukiye Karakis, Kali Gürkahraman:
Edge-Based Image Watermarking Method with Weighted Discrete Cosine Transform Coefficients. SIU 2022: 1-4 - 2020
- [c5]Cahfer Güngen, Özlem Polat, Rukiye Karakis:
Classification of Brain Tumors using Convolutional Neural Network from MR Images. SIU 2020: 1-4 - [c4]Fatmanur Betül Maroof Özcan, Rukiye Karakis, Inan Güler:
Steganalysis on Medical Images with Support Vector Machine. SIU 2020: 1-4
2010 – 2019
- 2015
- [b1]Rukiye Karakis:
Epileptik MRI ve EEG verileri için bulanık mantık tabanlı steganografi uygulaması (A fuzzy logic-based steganography application for MRI AND EEG data of epilepsy). Gazi University, Turkey, 2015 - [j5]Rukiye Karakis, Inan Güler, Irem Çapraz, Erhan Bilir:
A novel fuzzy logic-based image steganography method to ensure medical data security. Comput. Biol. Medicine 67: 172-183 (2015) - [c3]Rukiye Karakis, Inan Güler, Irem Çapraz, Erhan Bilir:
A new method of fuzzy logic-based steganography for the security of medical images. SIU 2015: 272-275 - 2014
- [c2]Rukiye Karakis, Inan Güler:
An application of fuzzy logic-based image steganography. SIU 2014: 156-159 - 2013
- [j4]Rukiye Karakis, Mesut Tez, Y. A. Kiliç, B. Kuru, Inan Güler:
A genetic algorithm model based on artificial neural network for prediction of the axillary lymph node status in breast cancer. Eng. Appl. Artif. Intell. 26(3): 945-950 (2013) - [j3]Rukiye Karakis, Mesut Tez, Y. A. Kiliç, B. Kuru, Inan Güler:
Corrigendum to "A genetic algorithm model based on artificial neural network for prediction of the axillary lymph node status in breast cancer" [Eng. Appl. Artif. Intell 26 (2013), 945-950]. Eng. Appl. Artif. Intell. 26(5-6): 1641 (2013) - [c1]Rukiye Karakis, Inan Güler, Ali Hakan Isik:
Feature selection in pulmonary function test data with machine learning methods. SIU 2013: 1-4
2000 – 2009
- 2009
- [j2]Inan Güler, Ayse Demirhan, Rukiye Karakis:
Interpretation of MR images using self-organizing maps and knowledge-based expert systems. Digit. Signal Process. 19(4): 668-677 (2009) - 2008
- [j1]Inan Güler, Abdullah Toprak, Ayse Demirhan, Rukiye Karakis:
MR Images Restoration With the Use of Fuzzy Filter Having Adaptive Membership Parameters. J. Medical Syst. 32(3): 229-234 (2008)
Coauthor Index
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