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Zafer Dogan
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Year
On the Computation of PSNR for a Set of Images or Video
O Keleş, MA Yιlmaz, AM Tekalp, C Korkmaz, Z Doğan
2021 Picture Coding Symposium (PCS), 1-5, 2021
372021
Machine learning-enabled multiplexed microfluidic sensors
SR Dabbagh, F Rabbi, Z Doğan, AK Yetisen, S Tasoglu
Biomicrofluidics 14 (6), 2020
332020
Reconstruction of Finite Rate of Innovation Signals with Model–Fitting Approach
Z Dogan, C Gilliam, T Blu, D Van De Ville
Signal Processing, IEEE Transactions on 63 (22), 6024-6036, 2015
272015
Graphics processing units-accelerated adaptive nonlocal means filter for denoising three-dimensional Monte Carlo photon transport simulations
Y Yuan, L Yu, Z Doğan, Q Fang
Journal of Biomedical Optics 23 (12), 121618, 2018
152018
3D reconstruction of wave-propagated point sources from boundary measurements using joint sparsity and finite rate of innovation
Z Dogan, I Jovanovic, T Blu, D Van De Ville
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 1575-1578, 2012
152012
Domain-Informed Spline Interpolation
H Behjat, Z Doğan, D Van De Ville, L Sörnmo
IEEE Transactions on Signal Processing 67 (15), 3909 - 3921, 2019
132019
A second-order extension of TV regularization for image deblurring
Z Dogan, S Lefkimmiatis, A Bourquard, M Unser
2011 18th IEEE International Conference on Image Processing, 705-708, 2011
132011
Detecting spontaneous brain activity in functional magnetic resonance imaging using finite rate of innovation
Z Doğan, T Blu, D Van De Ville
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 1047-1050, 2014
112014
Localization of point sources for systems governed by the wave equation
Z Dogan, V Tsiminaki, I Jovanovic, T Blu, D Van De Ville
Wavelets and Sparsity XIV 8138, 149-159, 2011
92011
Comparison of quantization index modulation and forbidden zone data hiding for compressed domain video data hiding
E Esen, Z Dogan, TK Ates, AA Alatan
2009 IEEE 17th Signal Processing and Communications Applications Conference …, 2009
72009
Finite-rate-of-innovation for the inverse source problem of radiating fields
Z Dogan, T Blu, D Van De Ville
Sampling Theory in Signal and Image Processing 13 (3), 271-294, 2014
42014
Perception-Distortion Trade-Off in the SR Space Spanned by Flow Models
C Korkmaz, AM Tekalp, Z Doğan, E Erdem, A Erdem
2022 IEEE International Conference on Image Processing (ICIP), 2396-2400, 2022
22022
Localization of point sources in wave fields from boundary measurements using new sensing principle
Z Dogan, I Jovanovic, T Blu, D Van De Ville
Sampling Theory and Applications (SAMPTA'13), 10th International Conference …, 2013
22013
Two-stage domain adapted training for better generalization in real-world image restoration and super-resolution
C Korkmaz, AM Tekalp, Z Doğan
2021 IEEE International Conference on Image Processing (ICIP), 569-573, 2021
12021
Application of a new sensing principle for photoacoustic imaging of point absorbers
Z Doğan, I Jovanovic, T Blu, D Van De Ville
SPIE BiOS, 85813Z-85813Z-7, 2013
12013
EIGENSENSING AND DECONVOLUTION FOR THE RECONSTRUCTION OF HEAT ABSORPTION PROFILES FROM PHOTOACOUSTIC TOMOGRAPHY DATA
Z Dogan, T Blu, D Van De Ville
Biomedical Imaging (ISBI), 2013 10th IEEE International Symposium on, pp …, 2013
12013
Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
C Korkmaz, AM Tekalp, Z Dogan
arXiv preprint arXiv:2402.19215, 2024
2024
Optimal Nonlinearities Improve Generalization Performance of Random Features
S Demir, Z Doğan
arXiv preprint arXiv:2309.16846, 2023
2023
MMSR: Multiple-Model Learned Image Super-Resolution Benefiting from Class-Specific Image Priors
C Korkmaz, AM Tekalp, Z Doğan
2022 IEEE International Conference on Image Processing (ICIP), 2816-2820, 2022
2022
Interpolation in the Presence of Domain Inhomogeneity
H Behjat, Z Doğan, D Van De Ville, L Sörnmo
arXiv preprint arXiv:1702.08497, 2017
2017
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