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ORCIDEnder Mete Eksioglu
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2020 – today
- 2025
[j18]Ozan Demir
, Metin Aktas, Ender Mete Eksioglu:
Joint Optimization in Underwater Image Enhancement: A Training Framework Integrating Pixel-Level and Physical-Channel Techniques. IEEE Access 13: 22074-22085 (2025)- 2024
- [j17]Anil Turker, Ender Mete Eksioglu:
3D convolutional long short-term encoder-decoder network for moving object segmentation. Comput. Sci. Inf. Syst. 21(1): 363-378 (2024) - [j16]Amir Aghabiglou, Dursun Ali Ekinci, Ender Mete Eksioglu, Behcet Ugur Töreyin:
MR image reconstruction using iterative up and downsampling network. Expert Syst. Appl. 237(Part C): 121590 (2024) - [c20]Hasan H. Karaoglu, Ender Mete Eksioglu:
Revisiting DCT in Deep Learning Era: An Initial Denoising Application. SIU 2024: 1-4 - 2023
- [j15]Vedat Acar, Ender Mete Eksioglu:
Densely Connected Dilated Residual Network for Image Denoising: DDR-Net. Neural Process. Lett. 55(5): 5567-5581 (2023) - [j14]Hasan Huseyin Karaoglu, Ender Mete Eksioglu:
DCTNet: deep shrinkage denoising via DCT filterbanks. Signal Image Video Process. 17(7): 3665-3676 (2023) - [c19]Hasan Huseyin Karaoglu, Ender Mete Eksioglu:
Parameter-Efficient Harmonic Networks for JPEG Compression Artifact Removal. ICMLA 2023: 2052-2057 - 2022
- [j13]Amir Aghabiglou, Ender Mete Eksioglu:
Deep unfolding architecture for MRI reconstruction enhanced by adaptive noise maps. Biomed. Signal Process. Control. 78: 104016 (2022) - [j12]Ozden Colak, Ender Mete Eksioglu:
On the fly image denoising using patch ordering. Expert Syst. Appl. 190: 116192 (2022) - [c18]Anil Turker, Ender Mete Eksioglu:
A Fully Convolutional Encoder-Decoder Network for Moving Object Segmentation. INISTA 2022: 1-6 - [c17]Amir Aghabiglou, Ender Mete Eksioglu:
Densely connected wavelet-based autoencoder for MR image reconstruction. TSP 2022: 212-215 - [c16]Hasan Huseyin Karaoglu, Ender Mete Eksioglu:
A Plug-and-Play Deep Denoiser Prior Model for Accelerated MRI Reconstruction. TSP 2022: 260-263 - 2021
- [j11]Amir Aghabiglou, Ender Mete Eksioglu:
MR image reconstruction using densely connected residual convolutional networks. Comput. Biol. Medicine 139: 105010 (2021) - [j10]Amir Aghabiglou, Ender Mete Eksioglu:
Projection-Based cascaded U-Net model for MR image reconstruction. Comput. Methods Programs Biomed. 207: 106151 (2021) - [c15]Amir Aghabiglou, Ender Mete Eksioglu:
MR Image Reconstruction Based on Densely Connected Residual Generative Adversarial Network-DCR-GAN. ICCCI (CCIS Volume) 2021: 679-689 - [c14]Vedat Acar, Ender Mete Eksioglu:
Scale Input Adapted Attention for Image Denoising Using a Densely Connected U-Net: SADE-Net. ICCCI 2021: 792-801 - 2020
- [j9]Ozan Alp Topal, Selen Gecgel, Ender Mete Eksioglu, Gunes Karabulut-Kurt:
Identification of smart jammers: Learning-based approaches using wavelet preprocessing. Phys. Commun. 39: 101029 (2020)
2010 – 2019
- 2019
- [j8]Ozden Colak, Ender Mete Eksioglu:
Image denoising using patch ordering and 3D transformation of patches. IET Image Process. 13(13): 2636-2646 (2019) - [c13]Deniz Kocanaogullari, Ender Mete Eksioglu:
Deep Learning For Mri Reconstruction Using A Novel Projection Based Cascaded Network. MLSP 2019: 1-6 - [i1]Ozan Alp Topal, Selen Gecgel, Ender Mete Eksioglu, Gunes Karabulut-Kurt:
Identification of Smart Jammers: Learning based Approaches Using Wavelet Representation. CoRR abs/1901.09424 (2019) - 2018
- [j7]Ender Mete Eksioglu, Ahmet Korhan Tanc:
Denoising AMP for MRI Reconstruction: BM3D-AMP-MRI. SIAM J. Imaging Sci. 11(3): 2090-2109 (2018) - 2016
- [j6]Ahmet Korhan Tanc, Ender Mete Eksioglu:
MRI reconstruction with joint global regularization and transform learning. Comput. Medical Imaging Graph. 53: 1-8 (2016) - [j5]Ender Mete Eksioglu:
Decoupled Algorithm for MRI Reconstruction Using Nonlocal Block Matching Model: BM3D-MRI. J. Math. Imaging Vis. 56(3): 430-440 (2016) - [c12]Ahmet Korhan Tanc, Ender Mete Eksioglu:
MRI reconstruction with analysis sparse regularization under impulsive noise. EUSIPCO 2016: 538-541 - [c11]Ozden Bayir, Ender Mete Eksioglu:
Analysis sparsity based single image superresolution. SIU 2016: 977-980 - [c10]Abdurrahman Yesiloglu, Ender Mete Eksioglu:
Classification applications of sparse signal processing and kernel based methods. SIU 2016: 1157-1160 - 2015
- [c9]Ahmet Korhan Tanc, Ender Mete Eksioglu:
Transform learning MRI with global wavelet regularization. EUSIPCO 2015: 1855-1859 - 2014
- [j4]Ender Mete Eksioglu:
Online dictionary learning algorithm with periodic updates and its application to image denoising. Expert Syst. Appl. 41(8): 3682-3690 (2014) - [j3]Ender Mete Eksioglu, Ozden Bayir:
K-SVD Meets Transform Learning: Transform K-SVD. IEEE Signal Process. Lett. 21(3): 347-351 (2014) - [c8]Ender Mete Eksioglu, Ozden Bayir:
Overcomplete sparsifying transform learning algorithm using a constrained least squares approach. ICASSP 2014: 7158-7162 - 2012
- [j2]Pelin Gundes Bakir, Ender Mete Eksioglu, Serhat Alkan:
Reliability analysis of the complex mode indicator function and Hilbert Transform techniques for operational modal analysis. Expert Syst. Appl. 39(18): 13289-13294 (2012) - 2011
- [j1]Ender Mete Eksioglu, Ahmet Korhan Tanc:
RLS Algorithm With Convex Regularization. IEEE Signal Process. Lett. 18(8): 470-473 (2011) - [c7]Ender Mete Eksioglu:
A clustering based framework for dictionary block structure identification. ICASSP 2011: 4044-4047 - [c6]Ahmet H. Kayran, Erdogan Camcioglu, Ender Mete Eksioglu, Ahmet Korhan Tanc, Serhat Seker:
Generalized 2D lattice structure for causal and noncausal modeling of random fields. ISCAS 2011: 1756-1759 - 2010
- [c5]Ender Mete Eksioglu:
RLS adaptive filtering with sparsity regularization. ISSPA 2010: 550-553 - [c4]Ender Mete Eksioglu, Ahmet Korhan Tanc, Ahmet H. Kayran:
A compressive sensing framework for multirate signal estimation. ISSPA 2010: 716-719
2000 – 2009
- 2009
- [c3]Ahmet Korhan Tanc, Ender Mete Eksioglu, Ahmet H. Kayran:
Adaptive multirate signal estimation with lattice orthogonalization. ICECS 2009: 117-119 - 2005
- [c2]Ender Mete Eksioglu, Ahmet H. Kayran:
Lattice-ladder structure for 2D ARMA filters. ICASSP (4) 2005: 101-104 - 2002
- [c1]Ender Mete Eksioglu, Ahmet H. Kayran:
Nonlinear system identification using deterministic multilevel sequences. DSP 2002: 947-950
Coauthor Index
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