Nonlinear system identification using deterministic multilevel sequences. - Ender Mete Eksioglu; Ahmet H. Kayran (DSP, 2002)

Lattice-ladder structure for 2D ARMA filters. - Ender Mete Eksioglu; Ahmet H. Kayran (ICASSP (4), 2005)

Adaptive multirate signal estimation with lattice orthogonalization. - Ahmet Korhan Tanc; Ender Mete Eksioglu; Ahmet H. Kayran (ICECS, 2009)

RLS adaptive filtering with sparsity regularization. - Ender Mete Eksioglu (ISSPA, 2010)

A compressive sensing framework for multirate signal estimation. - Ender Mete Eksioglu; Ahmet Korhan Tanc; Ahmet H. Kayran (ISSPA, 2010)

A clustering based framework for dictionary block structure identification. - Ender Mete Eksioglu (ICASSP, 2011)

Generalized 2D lattice structure for causal and noncausal modeling of random fields. - Ahmet H. Kayran; Erdogan Camcioglu; Ender Mete Eksioglu; Ahmet Korhan Tanc; Serhat Seker (ISCAS, 2011)

RLS Algorithm With Convex Regularization. - Ender Mete Eksioglu; Ahmet Korhan Tanc (IEEE Signal Process. Lett., 2011)

Reliability analysis of the complex mode indicator function and Hilbert Transform techniques for operational modal analysis. - Pelin Gundes Bakir; Ender Mete Eksioglu; Serhat Alkan (Expert Syst. Appl., 2012)

Overcomplete sparsifying transform learning algorithm using a constrained least squares approach. - Ender Mete Eksioglu; Ozden Bayir (ICASSP, 2014)

Online dictionary learning algorithm with periodic updates and its application to image denoising. - Ender Mete Eksioglu (Expert Syst. Appl., 2014)

K-SVD Meets Transform Learning: Transform K-SVD. - Ender Mete Eksioglu; Ozden Bayir (IEEE Signal Process. Lett., 2014)

Transform learning MRI with global wavelet regularization. - Ahmet Korhan Tanc; Ender Mete Eksioglu (EUSIPCO, 2015)

MRI reconstruction with analysis sparse regularization under impulsive noise. - Ahmet Korhan Tanc; Ender Mete Eksioglu (EUSIPCO, 2016)

Analysis sparsity based single image superresolution. - Ozden Bayir; Ender Mete Eksioglu (SIU, 2016)

Classification applications of sparse signal processing and kernel based methods. - Abdurrahman Yesiloglu; Ender Mete Eksioglu (SIU, 2016)

MRI reconstruction with joint global regularization and transform learning. - Ahmet Korhan Tanc; Ender Mete Eksioglu (Comput. Medical Imaging Graph., 2016)

Decoupled Algorithm for MRI Reconstruction Using Nonlocal Block Matching Model: BM3D-MRI. - Ender Mete Eksioglu (J. Math. Imaging Vis., 2016)

Denoising AMP for MRI Reconstruction: BM3D-AMP-MRI. - Ender Mete Eksioglu; Ahmet Korhan Tanc (SIAM J. Imaging Sci., 2018)

Deep Learning For Mri Reconstruction Using A Novel Projection Based Cascaded Network. - Deniz Kocanaogullari; Ender Mete Eksioglu (MLSP, 2019)

Identification of Smart Jammers: Learning based Approaches Using Wavelet Representation. - Ozan Alp Topal; Selen Gecgel; Ender Mete Eksioglu; Gunes Karabulut-Kurt (CoRR, 2019)

Image denoising using patch ordering and 3D transformation of patches. - Ozden Colak; Ender Mete Eksioglu (IET Image Process., 2019)

Identification of smart jammers: Learning-based approaches using wavelet preprocessing. - Ozan Alp Topal; Selen Gecgel; Ender Mete Eksioglu; Gunes Karabulut-Kurt (Phys. Commun., 2020)

Scale Input Adapted Attention for Image Denoising Using a Densely Connected U-Net: SADE-Net. - Vedat Acar; Ender Mete Eksioglu (ICCCI, 2021)

MR Image Reconstruction Based on Densely Connected Residual Generative Adversarial Network-DCR-GAN. - Amir Aghabiglou; Ender Mete Eksioglu (ICCCI (CCIS Volume), 2021)

MR image reconstruction using densely connected residual convolutional networks. - Amir Aghabiglou; Ender Mete Eksioglu (Comput. Biol. Medicine, 2021)

Projection-Based cascaded U-Net model for MR image reconstruction. - Amir Aghabiglou; Ender Mete Eksioglu (Comput. Methods Programs Biomed., 2021)

A Fully Convolutional Encoder-Decoder Network for Moving Object Segmentation. - Anil Turker; Ender Mete Eksioglu (INISTA, 2022)

Densely connected wavelet-based autoencoder for MR image reconstruction. - Amir Aghabiglou; Ender Mete Eksioglu (TSP, 2022)

A Plug-and-Play Deep Denoiser Prior Model for Accelerated MRI Reconstruction. - Hasan Huseyin Karaoglu; Ender Mete Eksioglu (TSP, 2022)

On the fly image denoising using patch ordering. - Ozden Colak; Ender Mete Eksioglu (Expert Syst. Appl., 2022)

Deep unfolding architecture for MRI reconstruction enhanced by adaptive noise maps. - Amir Aghabiglou; Ender Mete Eksioglu (Biomed. Signal Process. Control., 2022)

Parameter-Efficient Harmonic Networks for JPEG Compression Artifact Removal. - Hasan Huseyin Karaoglu; Ender Mete Eksioglu (ICMLA, 2023)

Densely Connected Dilated Residual Network for Image Denoising: DDR-Net. - Vedat Acar; Ender Mete Eksioglu (Neural Process. Lett., 2023)

DCTNet: deep shrinkage denoising via DCT filterbanks. - Hasan Huseyin Karaoglu; Ender Mete Eksioglu (Signal Image Video Process., 2023)

Revisiting DCT in Deep Learning Era: An Initial Denoising Application. - Hasan H. Karaoglu; Ender Mete Eksioglu (SIU, 2024)

3D convolutional long short-term encoder-decoder network for moving object segmentation. - Anil Turker; Ender Mete Eksioglu (Comput. Sci. Inf. Syst., 2024)

MR image reconstruction using iterative up and downsampling network. - Amir Aghabiglou; Dursun Ali Ekinci; Ender Mete Eksioglu; Behcet Ugur Töreyin (Expert Syst. Appl., 2024)

Joint Optimization in Underwater Image Enhancement: A Training Framework Integrating Pixel-Level and Physical-Channel Techniques. - Ozan Demir; Metin Aktas; Ender Mete Eksioglu (IEEE Access, 2025)

Att-Next for skin lesion segmentation with topological awareness. - Cihan Katar; Omer B. Eryilmaz; Ender Mete Eksioglu (Expert Syst. Appl., 2025)