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Gür Emre Güraksin
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2020 – today
- 2025
- [j11]Gür Emre Güraksin, Ismail Kayadibi
:
A Hybrid LECNN Architecture: A Computer-Assisted Early Diagnosis System for Lung Cancer Using CT Images. Int. J. Comput. Intell. Syst. 18(1): 35 (2025) - [j10]Ismail Kayadibi
An AI-assisted explainable mTMCNN architecture for detection of mandibular third molar presence from panoramic radiography. Int. J. Medical Informatics 195: 105724 (2025) - 2024
- [j9]Sezin Barin
An improved hair removal algorithm for dermoscopy images. Multim. Tools Appl. 83(3): 8931-8953 (2024) - 2023
- [j8]Ismail Kayadibi
A Hybrid R-FTCNN based on principal component analysis for retinal disease detection from OCT images. Expert Syst. Appl. 230: 120617 (2023) - [j7]Ismail Kayadibi
An Explainable Fully Dense Fusion Neural Network with Deep Support Vector Machine for Retinal Disease Determination. Int. J. Comput. Intell. Syst. 16(1): 28 (2023) - [j6]Merve Nur Önal, Gür Emre Güraksin
Convolutional neural network-based diabetes diagnostic system via iridology technique. Multim. Tools Appl. 82(1): 173-194 (2023) - 2022
- [j5]Ismail Kayadibi
An Eye State Recognition System Using Transfer Learning: AlexNet-Based Deep Convolutional Neural Network. Int. J. Comput. Intell. Syst. 15(1): 49 (2022) - 2021
- [j4]Esin Uysal, Gür Emre Güraksin
Computer-aided retinal vessel segmentation in retinal images: convolutional neural networks. Multim. Tools Appl. 80(3): 3505-3528 (2021)
2010 – 2019
- 2016
- [c1]Gür Emre Güraksin, Utku Kose
Underwater image enhancement based on contrast adjustment via differential evolution algorithm. INISTA 2016: 1-5 - 2015
- [b1]Gür Emre Güraksin:
Yapay zeka teknikleri kullanarak kemik yaşı tespiti (Bone age determination using via artificial intelligence techniques). Selçuk University, Turkey, 2015 - 2014
- [j3]Gür Emre Güraksin, Hüseyin Hakli
Support vector machines classification based on particle swarm optimization for bone age determination. Appl. Soft Comput. 24: 597-602 (2014) - 2011
- [j2]Harun Uguz, Gür Emre Güraksin, Uçman Ergün, Ridvan Saraçoglu
Biomedical system based on the Discrete Hidden Markov Model using the Rocchio-Genetic approach for the classification of internal carotid artery Doppler signals. Comput. Methods Programs Biomed. 103(1): 51-60 (2011) - 2010
- [j1]Gür Emre Güraksin, Uçman Ergün, Omer Deperlioglu
Classification of the heart sounds via artificial neural network. Int. J. Reason. based Intell. Syst. 2(3/4): 272-278 (2010)
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last updated on 2025-03-04 22:14 CET by the dblp team
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