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Ozkan Cigdem
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2020 – today
- 2024
- [i1]Chaojie Zhang, Shengjia Chen
, Ozkan Cigdem, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Richard Kijowski, Cem M. Deniz:
MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging. CoRR abs/2405.02784 (2024)
2010 – 2019
- 2019
- [c7]Ozkan Cigdem
Classification of Patients with Bipolar Disorder and Their Healthy Siblings from Healthy Controls Using MRI. MeMeA 2019: 1-6 - [c6]Ozkan Cigdem, Hasan Demirel, Devrim Ünay:
The Performance of Local-Learning Based Clustering Feature Selection Method on the Diagnosis of Parkinson's Disease Using Structural MRI. SMC 2019: 1286-1291 - 2018
- [j2]Ozkan Cigdem
Effects of different covariates and contrasts on classification of Parkinson's disease using structural MRI. Comput. Biol. Medicine 99: 173-181 (2018) - [c5]Ozkan Cigdem, Arif Yilmaz, Iman Beheshti
Comparing the performances of PDF and PCA on Parkinson's disease classification using structural MRI images. SIU 2018: 1-4 - 2013
- [c4]Ozkan Cigdem, Tinne De Laet
Classical and subsequence dynamic time warping for recognition of rigid body motion trajectories. ASCC 2013: 1-6 - 2012
- [j1]Erdal Kayacan
Sliding Mode Control Approach for Online Learning as Applied to Type-2 Fuzzy Neural Networks and Its Experimental Evaluation. IEEE Trans. Ind. Electron. 59(9): 3510-3520 (2012) - [c3]Tjorven Delabie, Ozkan Cigdem, Jochem F. M. De Schutter, Roel Matthysen, Tinne De Laet
Invariant representations to reduce the variability in recognition of rigid body motion trajectories. SMC 2012: 1658-1663 - 2011
- [c2]Ozkan Cigdem
A novel training method based on variable structure systems theory for fuzzy neural networks. CICA 2011: 44-51 - [c1]Erdal Kayacan
A novel training method based on variable structure systems approach for interval type-2 fuzzy neural networks. T2FUZZ 2011: 142-149
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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