A second-order extension of TV regularization for image deblurring. - Zafer Dogan; Stamatios Lefkimmiatis; Aurélien Bourquard; Michael Unser (ICIP, 2011)

3D reconstruction of wave-propagated point sources from boundary measurements using joint sparsity and finite rate of innovation. - Zafer Dogan; Ivana Jovanovic; Thierry Blu; Dimitri Van De Ville (ISBI, 2012)

Eigensensing and deconvolution for the reconstruction of heat absorption profiles from photoacoustic tomography data. - Zafer Dogan; Thierry Blu; Dimitri Van De Ville (ISBI, 2013)

Detecting spontaneous brain activity in functional magnetic resonance imaging using finite rate of innovation. - Zafer Dogan; Thierry Blu; Dimitri Van De Ville (ISBI, 2014)

Reconstruction of Finite Rate of Innovation Signals with Model-Fitting Approach. - Zafer Dogan; Christopher Gilliam; Thierry Blu; Dimitri Van De Ville (IEEE Trans. Signal Process., 2015)

Domain-Informed Spline Interpolation. - Hamid Behjat; Zafer Dogan; Dimitri Van De Ville; Leif Sörnmo (IEEE Trans. Signal Process., 2019)

Two-Stage Domain Adapted Training For Better Generalization In Real-World Image Restoration And Super-Resolution. - Cansu Korkmaz; A. Murat Tekalp; Zafer Dogan (ICIP, 2021)

On the Computation of PSNR for a Set of Images or Video. - Onur Keles; Mustafa Akin Yilmaz; Ahmet Murat Tekalp; Cansu Korkmaz; Zafer Dogan (PCS, 2021)

Diagnosis of Inter-Turn Faults Based on Fault Harmonic Component Tracking in LSPMSMs Working Under Nonstationary Conditions. - Zafer Dogan; Kubra Tetik (IEEE Access, 2021)

MMSR: Multiple-Model Learned Image Super-Resolution Benefiting from Class-Specific Image Priors. - Cansu Korkmaz; A. Murat Tekalp; Zafer Dogan (ICIP, 2022)

Perception-Distortion Trade-Off in the SR Space Spanned by Flow Models. - Cansu Korkmaz; A. Murat Tekalp; Zafer Dogan; Erkut Erdem; Aykut Erdem (ICIP, 2022)

Optimal Nonlinearities Improve Generalization Performance of Random Features. - Samet Demir; Zafer Dogan (ACML, 2023)

Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts. - Cansu Korkmaz; A. Murat Tekalp; Zafer Dogan (CVPR, 2024)

Trustworthy Sr: Resolving Ambiguity In Image Super-Resolution Via Diffusion Models And Human Feedback. - Cansu Korkmaz; Ege Çirakman; A. Murat Tekalp; Zafer Dogan (ICIP, 2024)

Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning. - Andrew Bond; Zafer Dogan (NeurIPS, 2024)

Studying Generalization Performance of Random Feature Model through Equivalent Models. - Samet Demir; Zafer Dogan (SIU, 2024)

Random Features Outperform Linear Models: Effect of Strong Input-Label Correlation in Spiked Covariance Data. - Samet Demir; Zafer Dogan (CoRR, 2024)

Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure. - Samet Demir; Zafer Dogan (ICLR, 2025)

Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models. - Cansu Korkmaz; Ahmet Murat Tekalp; Zafer Dogan (CoRR, 2025)

A novel approach for classifying LEV motor bearing faults using a PSO-optimized CNN model and parameters based on transfer learning. - Hadi Esmeray; Zafer Dogan; Ismail Iseri (Evol. Syst., 2025)