| Convolutional inverse problems in imaging with convolutional sparse models D Dogan, FS Oktem Computational Optical Sensing and Imaging, JW2A. 9, 2019 | 3 | 2019 |
| Compressive Imaging with Spatial Coding Masks on Low Number of Elements: An Emulation Study Y Hu, M Brown, D Dogan, G Leus, P Kruizinga, AFW Van Der Steen, ... 2022 IEEE International Ultrasonics Symposium (IUS), 1-4, 2022 | 1 | 2022 |
| Multiple Measurement Vector Model for Sparsity-Based Vascular Ultrasound Imaging D Dogan, P Kruizinga, JG Bosch, G Leus 2021 IEEE Statistical Signal Processing Workshop (SSP), 501-505, 2021 | 1 | 2021 |
| Model-based Inversion Methods for Compressive Spectral Imaging with Diffractive Lenses D Dogan, FS Oktem Computational Optical Sensing and Imaging, CW4B. 4, 2020 | 1 | 2020 |
| Efficient algorithms for convolutional inverse problems in multidimensional imaging D Dogan, FS Oktem arXiv preprint arXiv:2006.08303, 2020 | 1 | 2020 |
| 3D Carotid Artery Flow Imaging Using Compressive Sensing with a Spatial Coding Mask: A Simulation Study Y Hu, D Dogan, M Brown, M Bulot, G Ferin, G Leus, P Kruizinga, ... 2023 IEEE International Ultrasonics Symposium (IUS), 1-4, 2023 | | 2023 |
| Comparison of Dictionary-Based Image Reconstruction Algorithms for Inverse Problems D Doğan, FS Öktem 2020 28th Signal Processing and Communications Applications Conference (SIU …, 2020 | | 2020 |
| Efficient algorithms for convolutional inverse problems in multidimensional imaging D Doğan Bașkaya Fen Bilimleri Enstitüsü, 0 | | |
