Projection-Based cascaded U-Net model for MR image reconstruction A Aghabiglou, EM Eksioglu Computer Methods and Programs in Biomedicine 207, 106151, 2021 | 27 | 2021 |
MR image reconstruction using densely connected residual convolutional networks A Aghabiglou, EM Eksioglu Computers in Biology and Medicine 139, 105010, 2021 | 20 | 2021 |
The R2D2 deep neural network series paradigm for fast precision imaging in radio astronomy A Aghabiglou, C San Chu, A Dabbech, Y Wiaux The Astrophysical Journal Supplement Series 273 (1), 3, 2024 | 13 | 2024 |
Deep unfolding architecture for MRI reconstruction enhanced by adaptive noise maps A Aghabiglou, EM Eksioglu Biomedical Signal Processing and Control 78, 104016, 2022 | 12 | 2022 |
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 | 5 | 2023 |
Densely connected wavelet-based autoencoder for MR image reconstruction A Aghabiglou, EM Eksioglu 2022 45th International Conference on Telecommunications and Signal …, 2022 | 3 | 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 |
CLEANing Cygnus A deep and fast with R2D2 A Dabbech, A Aghabiglou, C San Chu, Y Wiaux The Astrophysical Journal Letters 966 (2), L34, 2024 | 1 | 2024 |
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 |
Scalable Non-Cartesian Magnetic Resonance Imaging with R2D2 Y Chen, C Tang, A Aghabiglou, C San Chu, Y Wiaux 2024 32nd European Signal Processing Conference (EUSIPCO), 1511-1515, 2024 | | 2024 |
R2D2 image reconstruction with model uncertainty quantification in radio astronomy A Aghabiglou, C San Chu, A Dabbech, Y Wiaux 2024 32nd European Signal Processing Conference (EUSIPCO), 1926-1931, 2024 | | 2024 |
The R2D2 paradigm for ultra-fast high-dynamic range imaging in radio astronomy YW A. Aghabiglou, C. S. Chu, A. Dabbech 4th URSI Atlantic RadioScience Conference, 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 |
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 |
R2D2: Deep neural network series for near real-time high-dynamic range imaging in radio astronomy. A Aghabiglou, C San Chu, A Jackson, A Dabbech, Y Wiaux CoRR, 2023 | | 2023 |
ISTANBUL TECHNICAL UNIVERSITY 击 GRADUATE SCHOOL A AGHABIGLOU | | 2022 |