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Muhammed Fatih Talu
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- affiliation: Inonu University, Computer Science Department, Malatya, Turkey
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2020 – today
- 2023
- [j14]Sara Altun Güven
, Muhammed Fatih Talu:
Brain MRI high resolution image creation and segmentation with the new GAN method. Biomed. Signal Process. Control. 80(Part): 104246 (2023) - [j13]Zehra Bozdag
Pyramidal position attention model for histopathological image segmentation. Biomed. Signal Process. Control. 80(Part): 104374 (2023) - [j12]Ali Fatih Gündüz, Muhammed Fatih Talu:
Atrial fibrillation classification and detection from ECG recordings. Biomed. Signal Process. Control. 82: 104531 (2023) - 2022
- [j11]Gaffari Çelik
A new 3D MRI segmentation method based on Generative Adversarial Network and Atrous Convolution. Biomed. Signal Process. Control. 71(Part): 103155 (2022) - 2021
- [j10]Zehra Bozdag, Fatih M. Talu:
Pyramidal Nonlocal Network for Histopathological Image of Breast Lymph Node Segmentation. Int. J. Comput. Intell. Syst. 14(1): 122-131 (2021) - [j9]Kazim Firildak
A Hybrid Capsule Network for Pneumonia Detection Using Image Augmentation Based on Generative Adversarial Network. Traitement du Signal 38(3): 619-627 (2021) - [i1]Sedat Golgiyaz, Muhammed Fatih Talu, Mahmut Daskin, Cem Onat:
Estimation of excess air coefficient on coal combustion processes via gauss model and artificial neural network. CoRR abs/2108.04180 (2021)
2010 – 2019
- 2018
- [j8]Kazim Hanbay
A novel active contour model for medical images via the Hessian matrix and eigenvalues. Comput. Math. Appl. 75(9): 3081-3104 (2018) - 2016
- [j7]Kazim Hanbay
Principal curvatures based rotation invariant algorithms for efficient texture classification. Neurocomputing 199: 77-89 (2016) - 2015
- [j6]Kazim Hanbay, Nuh Alpaslan, Muhammed Fatih Talu, Davut Hanbay, Ali Karci, Adnan Fatih Kocamaz:
Continuous rotation invariant features for gradient-based texture classification. Comput. Vis. Image Underst. 132: 87-101 (2015) - [c6]Kazim Hanbay
Fabric defect detection methods for circular knitting machines. SIU 2015: 735-738 - [c5]Haluk Dilmen, Muhammed Fatih Talu
Tracking one dimension state space variables with particle filter method. SIU 2015: 1513-1516 - [c4]A. Erhan Akkaya, Muhammed Fatih Talu
Performance evaluation of ego-motion methods in static environment. SIU 2015: 2462-2465 - [c3]Serdar Alasu, Muhammed Fatih Talu
Interactive segmentatition implementation. SIU 2015: 2623-2626 - 2014
- [j5]Kazim Hanbay
Segmentation of SAR images using improved artificial bee colony algorithm and neutrosophic set. Appl. Soft Comput. 21: 433-443 (2014) - [c2]Nuh Alpaslan
A novel texture classification method based on Hessian matrix and principal curvatures. SIU 2014: 160-163 - 2013
- [j4]Muhammed Fatih Talu
Calculation of melatonin and resveratrol effects on steatosis hepatis using soft computing methods. Comput. Methods Programs Biomed. 111(2): 498-506 (2013) - [j3]Muhammed Fatih Talu
ORACM: Online region-based active contour model. Expert Syst. Appl. 40(16): 6233-6240 (2013) - 2012
- [j2]Ömür Aydogmus, Muhammed Fatih Talu
Comparison of Extended-Kalman- and Particle-Filter-Based Sensorless Speed Control. IEEE Trans. Instrum. Meas. 61(2): 402-410 (2012) - [c1]Kazim Hanbay
Segmentation of color texture images with artificial bee colony algorithm and wavelet transform. SIU 2012: 1-4 - 2011
- [j1]Muhammed Fatih Talu
A hybrid tracking method for scaled and oriented objects in crowded scenes. Expert Syst. Appl. 38(11): 13682-13687 (2011) - 2010
- [b1]Muhammed Fatih Talu:
İnsan hareketlerinin takibinde karşılaşılan problemlerin çözümüne yeni yaklaşımlar (New approaches to solve encountered problems in tracking of human movements). Fırat University, Turkey, 2010
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