| Projection-Based cascaded U-Net model for MR image reconstruction A Aghabiglou, EM Eksioglu Computer Methods and Programs in Biomedicine 207, 106151, 2021 | 21 | 2021 |
| MR image reconstruction using densely connected residual convolutional networks A Aghabiglou, EM Eksioglu Computers in Biology and Medicine 139, 105010, 2021 | 15 | 2021 |
| Deep unfolding architecture for MRI reconstruction enhanced by adaptive noise maps A Aghabiglou, EM Eksioglu Biomedical Signal Processing and Control 78, 104016, 2022 | 11 | 2022 |
| MR image reconstruction based on densely connected residual generative adversarial network–DCR-GAN A Aghabiglou, EM Eksioglu Advances in Computational Collective Intelligence: 13th International …, 2021 | 3 | 2021 |
| Privacy–Preserving Text Similarity via Non-Prefix-Free Codes MO Külekci, I Habib, A Aghabaiglou International Conference on Similarity Search and Applications, 94-102, 2019 | 3 | 2019 |
| Deep network series for large-scale high-dynamic range imaging A Aghabiglou, M Terris, A Jackson, Y Wiaux ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
| Densely connected wavelet-based autoencoder for MR image reconstruction A Aghabiglou, EM Eksioglu 2022 45th International Conference on Telecommunications and Signal …, 2022 | 2 | 2022 |
| The R2D2 deep neural network series paradigm for fast precision imaging in radio astronomy A Aghabiglou, CS Chu, A Dabbech, Y Wiaux arXiv preprint arXiv:2403.05452, 2024 | 1 | 2024 |
| Ultra-fast high-dynamic range imaging of Cygnus A with the R2D2 deep neural network series A Aghabiglou, C San Chu, A Jackson, A Dabbech, Y Wiaux Astrophysical Journal Letters, 2023 | 1 | 2023 |
| The R2D2 deep neural network series for fast high-dynamic range imaging in radio astronomy A Aghabiglou, C San Chu, A Dabbech, Y Wiaux Astrophysical Journal, 2023 | 1 | 2023 |
| CLEANing Cygnus A deep and fast with R2D2 A Dabbech, A Aghabiglou, C San Chu, Y Wiaux Astrophysical Journal Letters, 2024 | | 2024 |
| R2D2 image reconstruction with model uncertainty quantification in radio astronomy A Aghabiglou, CS Chu, A Dabbech, Y Wiaux arXiv preprint arXiv:2403.18052, 2024 | | 2024 |
| MR image reconstruction using iterative up and downsampling network A Aghabiglou, DA Ekinci, EM Eksioglu, BU Toreyin Expert Systems with Applications 237, 121590, 2024 | | 2024 |
| A framework for assessing a country’s scientific productivity based on published articles by scientists affiliated with that country N Hamed Golzar, E Altunok, A Aghabaiglou, MO Külekci Information Discovery and Delivery 52 (1), 23-38, 2024 | | 2024 |
| Learning how to clean deep and fast, with R2D2: Residual-to-Residual DNN series for high-Dynamic range imaging in radio astronomy A Aghabiglou, M Terris, WA Jackson, Y Wiaux XXXVth URSI General Assembly and Scientific Symposium, 2023 | | 2023 |
| R2D2: Residual-to-Residual DNN series for large-scale high-Dynamic range imaging A Aghabiglou, M Terris, WA Jackson, Y Wiaux BASP Frontiers, 2023 | | 2023 |
| Ultra-fast Residual-to-Residual DNN series for high-Dynamic range imaging (R2D2) in radio astronomy: Methods and simulations A Aghabiglou, C San Chu, A Dabbech, Y Wiaux Monthly Notices of the Royal Astronomical Society, 2023 | | 2023 |
| R2D2: a deep neural network series for ultra-fast high-dynamic range imaging in radio astronomy A Aghabiglou, C San Chu, A Dabbech, Y Wiaux Monthly Notices of the Royal Astronomical Society, 2023 | | 2023 |
| ISTANBUL TECHNICAL UNIVERSITY 击 GRADUATE SCHOOL A AGHABIGLOU | | 2022 |
| Image reconstruction with deep learning and applications in MR images A Aghabiglou Graduate School, 0 | | |
Ender M. EksiogluProfessor, Istanbul Technical UniversityVerified email at itu.edu.tr
