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Ahmet Çinar
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- affiliation: Firat University, Elazig, Turkey
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2020 – today
- 2024
- [j26]Ahmet Çinar, Merve Erkus, Taner Tuncer, Hakan Ayyildiz, Seda Arslan Tuncer:
YOLOv5 based detector for eight different urine particles components on single board computer. Int. J. Imaging Syst. Technol. 34(1) (2024) - [j25]Seda Arslan Tuncer, Ahmet Çinar, Merve Erkus, Taner Tuncer:
Deep Multi-Modal Fusion Model for Identification of Eight Different Particles in Urinary Sediment. Appl. Comput. Syst. 29(1): 35-44 (2024) - [j24]Ahmet Çinar, F. Sibel Salman, Ozgur M. Araz, Mert Parcaoglu:
Managing Home Health-Care Services With Dynamic Arrivals During a Public Health Emergency. IEEE Trans. Engineering Management 71: 13312-13326 (2024) - 2023
- [j23]Muhammed Yildirim, Emine Cengil, Yesim Eroglu, Ahmet Çinar:
Detection and classification of glioma, meningioma, pituitary tumor, and normal in brain magnetic resonance imaging using deep learning-based hybrid model. Iran J. Comput. Sci. 6(4): 455-464 (2023) - [j22]Dilber Çetintas, Taner Tuncer, Ahmet Çinar:
Detection of autism spectrum disorder from changing of pupil diameter using multi-modal feature fusion based hybrid CNN model. J. Ambient Intell. Humaniz. Comput. 14(8): 11273-11284 (2023) - [j21]Yesim Eroglu, Muhammed Yildirim, Ahmet Çinar:
Diagnosis of periventricular leukomalacia in children with artificial intelligence-based models developed using brain magnetic resonance images. Signal Image Video Process. 17(8): 4543-4550 (2023) - 2022
- [j20]Murat Firat, Ahmet Çinar, Cem Çankaya, Ilknur Tuncer Firat, Taner Tuncer:
Prediction of Pentacam image after corneal cross-linking by linear interpolation technique and U-NET based 2D regression model. Comput. Biol. Medicine 146: 105541 (2022) - [j19]Emine Cengil, Ahmet Çinar:
Hybrid convolutional neural network based classification of bacterial, viral, and fungal diseases on tomato leaf images. Concurr. Comput. Pract. Exp. 34(4) (2022) - [j18]Emine Cengil, Ahmet Çinar, Muhammed Yildirim:
A hybrid approach for efficient multi-classification of white blood cells based on transfer learning techniques and traditional machine learning methods. Concurr. Comput. Pract. Exp. 34(6) (2022) - [j17]Emine Cengil, Ahmet Çinar:
The effect of deep feature concatenation in the classification problem: An approach on COVID-19 disease detection. Int. J. Imaging Syst. Technol. 32(1): 26-40 (2022) - [j16]Muhammed Yildirim, Ahmet Çinar:
Classification with respect to colon adenocarcinoma and colon benign tissue of colon histopathological images with a new CNN model: MA_ColonNET. Int. J. Imaging Syst. Technol. 32(1): 155-162 (2022) - [j15]Yesim Eroglu, Muhammed Yildirim, Ahmet Çinar:
mRMR-based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images. Int. J. Imaging Syst. Technol. 32(2): 517-527 (2022) - [j14]Murat Firat, Cem Çankaya, Ahmet Çinar, Taner Tuncer:
Automatic detection of keratoconus on Pentacam images using feature selection based on deep learning. Int. J. Imaging Syst. Technol. 32(5): 1548-1560 (2022) - [j13]Muhammed Yildirim, Orkun Eroglu, Yesim Eroglu, Ahmet Çinar, Emine Cengil:
COVID-19 Detection on Chest X-ray Images with the Proposed Model Using Artificial Intelligence and Classifiers. New Gener. Comput. 40(4): 1077-1091 (2022) - 2021
- [j12]Yesim Eroglu, Muhammed Yildirim, Ahmet Çinar:
Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR. Comput. Biol. Medicine 133: 104407 (2021) - [j11]Muhammed Yildirim, Ahmet Çinar:
A new model for classification of human movements on videos using convolutional neural networks: MA-Net. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9(6): 651-659 (2021) - [j10]Yesim Eroglu, Kadir Yildirim, Ahmet Çinar, Muhammed Yildirim:
Diagnosis and grading of vesicoureteral reflux on voiding cystourethrography images in children using a deep hybrid model. Comput. Methods Programs Biomed. 210: 106369 (2021) - [j9]Ahmet Çinar, F. Sibel Salman, Burçin Bozkaya:
Prioritized single nurse routing and scheduling for home healthcare services. Eur. J. Oper. Res. 289(3): 867-878 (2021) - [j8]Seda Arslan Tuncer, Ahmet Çinar, Taner Tuncer, Fatih Çolak:
Determining and Measuring the Amount of Region Having COVID-19 on Lung Images. Appl. Comput. Syst. 26(2): 183-193 (2021) - [j7]Ahmet Çinar, Muhammed Yildirim, Yesim Eroglu:
Classification of Pneumonia Cell Images Using Improved ResNet50 Model. Traitement du Signal 38(1): 165-173 (2021) - [j6]Erdal Özbay, Ahmet Çinar, Feyza Altunbey Özbay:
3D Human Activity Classification with 3D Zernike Moment Based Convolutional, LSTM-Deep Neural Networks. Traitement du Signal 38(2): 269-280 (2021) - [j5]Seda Arslan Tuncer, Ahmet Çinar, Murat Firat:
Hybrid CNN Based Computer-Aided Diagnosis System for Choroidal Neovascularization, Diabetic Macular Edema, Drusen Disease Detection from OCT Images. Traitement du Signal 38(3): 673-679 (2021) - 2020
- [j4]Ahmet Çinar, Muhammed Yildirim:
Classification of Malaria Cell Images with Deep Learning Architectures. Ingénierie des Systèmes d Inf. 25(1): 35-39 (2020) - [j3]Muhammed Yildirim, Ahmet Çinar:
Classification of Alzheimer's Disease MRI Images with CNN Based Hybrid Method. Ingénierie des Systèmes d Inf. 25(4): 413-418 (2020) - [j2]Muhammed Yildirim, Ahmet Çinar:
A Deep Learning Based Hybrid Approach for COVID-19 Disease Detections. Traitement du Signal 37(3): 461-468 (2020)
2010 – 2019
- 2019
- [j1]Muhammed Yildirim, Ahmet Çinar:
Classification of White Blood Cells by Deep Learning Methods for Diagnosing Disease. Rev. d'Intelligence Artif. 33(5): 335-340 (2019) - [c7]Emine Cengil, Ahmet Çinar:
Classification of Human Driving Behaviour Images Using Convolutional Neural Network Architecture. HAIS 2019: 264-274
2000 – 2009
- 2005
- [c6]Ahmet Çinar:
A Method for Local Tuning of Fuzzy Membership Functions. International Conference on Computational Science (3) 2005: 945-949 - 2004
- [c5]Ahmet Çinar:
Fuzzy blending of materials. GRAPHITE 2004: 162-166 - [c4]Ahmet Çinar:
A Method Based on Fuzzy Logic Technique for Smoothing in 2D. International Conference on Computational Science 2004: 523-531 - 2002
- [c3]Ahmet Çinar, Ahmet Arslan:
Neural Networks Based Mesh Generation Method in 2-D. EurAsia-ICT 2002: 395-401 - 2001
- [c2]Ahmet Çinar, Ahmet Arslan:
Blending of 2D Objects Using Fuzzy Logic. Fuzzy Days 2001: 968-975 - [c1]Ahmet Çinar, Ahmet Arslan:
Fuzzy Object Blending in 2-D. International Conference on Computational Science (2) 2001: 190-197
Coauthor Index
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last updated on 2024-10-23 21:28 CEST by the dblp team
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