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Book (in Turkish):                                                    

Bilgisayar Uygulamalarıyla Sayısal İşaret İşleme, Ahmet H. Kayran ve Ender M. Ekşioğlu , Birsen Yayınevi, 2010

 

Published Journal Papers:

24.   A. Aghabiglou, D.A. Ekinci, E.M. Eksioglu, B.U. Toreyin, " MR image reconstruction using iterative up and downsampling network”, Expert Systems with Applications, Volume 237, Part C, March 2024. [pdf] (https://doi.org/10.1016/j.eswa.2023.121590)

23.   H.H. Karaoglu, E.M. Eksioglu, "DCTNet: deep shrinkage denoising via DCT filterbanks”, Signal, Image and Video Processing, vol. 17, October 2023. [pdf] (https://doi.org/10.1007/s11760-023-02593-0)

22.   A. Turker, E.M. Eksioglu, "3D convolutional long short-term encoder-decoder network for moving object segmentation”, Computer Science and Information Systems, vol. 21, issue 1, 363-378, 2024. [pdf] (github page) (https://doi.org/10.2298/CSIS230129044T)

 

21.   V. Acar, E.M. Eksioglu, "Densely Connected Dilated Residual Network for Image Denoising: DDR-Net”, Neural Processing Letters, 2022. [pdf] (https://doi.org/10.1007/s11063-022-11100-4)

 

20.   A. Aghabiglou, E.M. Eksioglu, "Deep unfolding architecture for MRI reconstruction enhanced by adaptive noise maps", Biomedical Signal Processing and Control, vol. 78, 2022. [pdf] (https://doi.org/10.1016/j.bspc.2022.104016)

 

19.   O. Colak, E.M. Eksioglu, “On the fly image denoising using patch ordering”, Expert Systems with Applications, vol. 190, March 2022. [pdf] (https:/doi.org/10.1016/j.eswa.2021.116192)

 

18.   A. Aghabiglou, E.M. Eksioglu, "MR image reconstruction using densely connected residual convolutional networks", Computers in Biology and Medicine, vol. 139, 2021. [pdf] (https://doi.org/10.1016/j.compbiomed.2021.105010)

17.   A. Aghabiglou, E.M. Eksioglu, "Projection-Based cascaded U-Net model for MR image reconstruction", Computer Methods and Programs in Biomedicine, vol. 207, August 2021. [pdf] (https:/doi.org/10.1016/j.cmpb.2021.106151), (github page)

16.   O.A. Topal, S. Gecgel, E.M. Eksioglu, G. Karabulut Kurt, “Identification of smart jammers: Learning-based approaches using wavelet preprocessing”, Physical Communication, vol. 39, April 2020. [pdf] (https://doi.org/10.1016/j.phycom.2020.101029)

15.   O. Colak, E.M. Eksioglu, “Image Denoising using Patch Ordering and 3D Transformation of Patches”, IET Image Processing, vol. 13, no. 12, pp. 2636-2646, November 2019. [pdf] (https://doi.org/10.1049/iet-ipr.2018.6431)

14.   E.M. Eksioglu, A. K. Tanc, “Denoising AMP for MRI Reconstruction: BM3D-AMP-MRI”, SIAM Journal on Imaging Sciences, vol. 11, no. 3, pp. 2090-2109, September 2018. [pdf] (project page) (github)

13.   E.M. Eksioglu, “Decoupled Algorithm for MRI Reconstruction Using Nonlocal Block Matching Model: BM3D-MRI”, Journal of Mathematical Imaging and Vision, vol. 56, no. 3, pp. 430-440, November 2016. [pdf] (project page)

12.   A. K. Tanc, E. M. Eksioglu, “MRI reconstruction with joint global regularization and transform learning”, Computerized Medical Imaging and Graphics, vol. 53, pp. 1-8, October 2016. [pdf]

11.   E.M. Eksioglu and Ozden Bayir, “K-SVD meets Transform Learning: Transform K-SVD”, IEEE Signal Processing Letters, vol. 21, no. 3, pp. 347-351, March 2014. [pdf] (project page)

10.   E.M. Eksioglu, “Group Sparse RLS Algorithms”, International Journal of Adaptive Control and Signal Processing, vol.28, no.12, 1398–1412, Dec. 2014. [pdf] (project page)

9.     E.M. Eksioglu, “Online Dictionary Learning Algorithm with Periodic Updates and its Application to Image Denoising”, Expert Systems with Applications, vol. 41, no. 8, 3682–3690, June 2014. [pdf]

8.     P.G. Bakir, E.M. Eksioglu and S. Alkan, “Reliability Analysis of the Complex Mode Indicator Function and Hilbert Transform Techniques for Operational Modal Analysis”, Expert Systems with Applications, vol. 39, no. 18, 13289–13294, Dec. 2012.

7.     P.G. Bakir, E.M. Eksioglu and S. Alkan, “System Identification of a Reinforced Concrete Building Using the Complex Mode Indicator Function and the Hilbert Transform Techniques”, Journal of Testing and Evaluation, vol. 40, no. 3, pp.427-434, May 2012.

6.     E.M. Eksioglu and A.K. Tanc, “RLS Algorithm with Convex Regularization”, IEEE Signal Processing Letters, vol. 18, no. 8, pp. 470-473, Aug. 2011. [pdf] (project page)

5.     E.M. Eksioglu, “Sparsity Regularized RLS Adaptive Filtering”, IET Signal Processing Journal, vol. 5, no. 5, pp. 480-487, Aug. 2011. [pdf]

4.     P.G. Bakir, S. Alkan, E.M. Eksioglu, “A Comparative Study on the Subspace Based System Identification Techniques Applied on Civil Engineering Structures”, Smart Structures and Systems, vol. 7, no. 2, pp. 153-167, Feb. 2011.

3.     E.M. Ekşioğlu and A.H. Kayran, “Volterra Kernel Estimation for Nonlinear Communication Channels Using Deterministic Sequences”, AEU-International Journal of Electronics and Communications, vol. 59, no.2, 118-127, 2005. [pdf]

2.     A.H. Kayran and E.M. Ekşioğlu, “Nonlinear System Identification Using Deterministic Multilevel Sequences”, Circuits, Systems and Signal Processing, vol.  24, no. 2, 151–181, 2005. [pdf]

1.     A.H. Kayran and E. Ekşioğlu, “2D FIR Wiener Filter Realization Using Orthogonal Lattice Structures”, Electronics Letters, vol. 36, No.12, pp. 1078-1079, June 2000. [pdf]

International Conference Papers:

19.   A. Turker and E. M. Eksioglu, "A Fully Convolutional Encoder-Decoder Network for Moving Object Segmentation," 2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 2022, pp. 1-6. (https://doi.org/10.1109/INISTA55318.2022.9894190) [pdf]

18.   H. H. Karaoglu and E. M. Eksioglu, "A Plug-and-Play Deep Denoiser Prior Model for Accelerated MRI Reconstruction," 2022 45th International Conference on Telecommunications and Signal Processing (TSP), 2022, pp. 260-263. (https://doi.org/10.1109/TSP55681.2022.9851376) [pdf]

17.   A. Aghabiglou and E. M. Eksioglu, "Densely connected wavelet-based autoencoder for MR image reconstruction," 2022 45th International Conference on Telecommunications and Signal Processing (TSP), 2022, pp. 212-215. (https://doi.org/10.1109/TSP55681.2022.9851354) [pdf]

16.   V. Acar and E.M. Eksioglu. “Scale Input Adapted Attention for Image Denoising Using a Densely Connected U-Net: SADE-Net”, Computational Collective Intelligence, ICCCI 2021, Lecture Notes in Computer Science, vol 12876, Springer, 2021. (https://doi.org/10.1007/978-3-030-88081-1_60) [pdf]

15.   A. Aghabiglou and E.M. Eksioglu. “MR Image Reconstruction Based on Densely Connected Residual Generative Adversarial Network–DCR-GAN”, Advances in Computational Collective Intelligence, ICCCI 2021, Communications in Computer and Information Science, vol 1463. Springer, 2021. (https://doi.org/10.1007/978-3-030-88113-9_55) [pdf]

14.   S. Ç. Yetiş et al., “Myelin Segmentation in Fluorescence Microscopy Images”, 2019 Medical Technologies Congress (TIPTEKNO), 2019, pp. 1-4, 2019. (https:/doi.org/10.1109/TIPTEKNO.2019.8895041)

13.   D. Kocanaogullari and E.M. Eksioglu, “Deep Learning For MRI Reconstruction Using A Novel Projection Based Cascaded Network”, IEEE 29th International Workshop on Machine Learning for Signal Processing, MLSP 2019, Oct. 13–16, pp. 1-6, 2019. [pdf]

12.   A.K. Tanc and E.M. Eksioglu, “MRI Reconstruction with Analysis Sparse Regularization under Impulsive Noise”, 24th European Signal Processing Conference, EUSIPCO 2016, Aug. 29–Sep. 2, pp. 538-541, 2016. [pdf]

11.   A.K. Tanc and E.M. Eksioglu, “Transform Learning MRI with Global Wavelet Regularization”, 23rd European Signal Processing Conference, EUSIPCO 2015, Aug. 31–Sep. 4, pp.1900-1904, 2015. [pdf]  [presentation]

10.   E.M. Eksioglu and Ozden Bayir, “Overcomplete Sparsifying Transform Learning Algorithm using a Constrained Least Squares Approach”, IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014, May 04-09, 2014. [pdf]  [poster]

9.     E.M. Eksioglu, “Dictionary Learning for Block-Sparse Signals”, Signal Processing with Adaptive Sparse Structured Representations, SPARS 2013, July 8-11 2013. [poster]

8.     E.M. Eksioglu, “A Clustering Based Framework for Dictionary Block Structure Identification”, IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2011, pp.4044-4047, May 22-27, 2011. [pdf]  [poster]

7.     A.H. Kayran, E. Camcioglu, E.M. Eksioglu, A.K. Tanc and S. Seker, “Generalized 2D Lattice Structure for Causal and Noncausal Modeling of Random Fields”, Proc. 44th IEEE ISCAS, pp. 1756-1759, May 14-18, 2011.

6.     E.M. Eksioglu, A.K. Tanc and A.H. Kayran, “A Compressive Sensing Framework for Multirate Signal Estimation”, ISSPA 2010, pp. 716-719, May 10-13, 2010, Malaysia. [pdf]  [presentation]

5.     E.M. Eksioglu, “RLS Adaptive Filtering with Sparsity Regularization”, ISSPA 2010, pp. 550-553, May 10-13, 2010, Malaysia. [pdf]  [presentation]

4.     P.G. Bakir, S. Alkan and E.M. Eksioglu, “Evaluation of System Identification Techniques for Damage Identification in Civil Structures”, 14th European Conference on Earthquake Engineering (ECEE 2010), 30.08-03.09 2010.

3.     A.K. Tanc, E.M. Ekşioğlu and A.H. Kayran, “Adaptive Multirate Signal Estimation with Lattice Orthogonalization”, IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2009, pp.117-119, Dec. 13-16, 2009.

2.     E.M. Ekşioğlu and A.H. Kayran, “Lattice-Ladder Structure for 2D ARMA Filters”, IEEE International  Conference on Acoustics, Speech and Signal Processing, ICASSP 2005, pp. IV 101-104, March 18-23, 2005. [pdf]  [presentation]

1.     E.M. Ekşioğlu and A.H. Kayran, “Nonlinear System Identification Using Deterministic Multilevel Sequences”, 14th International Conference on Digital Signal Processing (DSP2002), vol.2, pp. 947–950, July 1-3, 2002. [presentation]

National Conference Papers :

4. Ö. Bayır and E. M. Ekşioğlu, "Analiz Seyreklik Tabanlı Görüntü Çözünürlügü Yükseltme (Analysis sparsity based single image superresolution)," 24. Sinyal İşleme ve İletişim Uygulamaları (SİU) Kurultayı (24th Signal Processing and Communication Application Conference), Zonguldak, 2016, pp. 977-980. doi: 10.1109/SIU.2016.7495905 [pdf] 

3. A. Yeşiloğlu and E. M. Ekşioğlu, "Seyrek İşaret İşlemede Sınıflandırma Uygulamaları ve Çekirdek Tabanlı Yaklaşımlar (Classification applications of sparse signal processing and kernel based methods)", 24. Sinyal İşleme ve İletişim Uygulamaları (SİU) Kurultayı (24th Signal Processing and Communication Application Conference), Zonguldak, 2016, pp. 1157-1160. doi: 10.1109/SIU.2016.7495950 [pdf] 

2.     E.M. Ekşioğlu ve A.H. Kayran, “Gerekirci Diziler Kullanarak Doğrusal Olmayan Sistem Tanılama”, 10. Sinyal İşleme ve Uygulamaları (SİU) Kurultayı Bildiriler kitabı, 291-296, Pamukkale, Haziran, 2002.

1.     E.M. Ekşioğlu ve A.H. Kayran, “2-Boyutlu Dik Kafes Süzgeç Yapısı Kullanılarak Uyarlamalı Volterra Süzgeci Gerçekleştirilmesi”, URSI-Türkiye 2002 Birinci Ulusal Kongresi bildiriler kitabı, 206-209, İTÜ, İstanbul, Eylül, 2002.

Published Journal Papers (non-indexed):

1.     E.M. Ekşioğlu and A.H. Kayran, “Adaptive Volterra Filtering Using Complete Lattice Orthogonalization”, Turkish Journal of Telecommunications, vol.1 no. 2, 101-105, 2002