Privacy-Preserving Text Similarity via Non-Prefix-Free Codes. - M. Oguzhan Külekci; Ismail Habib; Amir Aghabiglou (SISAP, 2019)

MR Image Reconstruction Based on Densely Connected Residual Generative Adversarial Network-DCR-GAN. - Amir Aghabiglou; Ender Mete Eksioglu (ICCCI (CCIS Volume), 2021)

MR image reconstruction using densely connected residual convolutional networks. - Amir Aghabiglou; Ender Mete Eksioglu (Comput. Biol. Medicine, 2021)

Projection-Based cascaded U-Net model for MR image reconstruction. - Amir Aghabiglou; Ender Mete Eksioglu (Comput. Methods Programs Biomed., 2021)

Densely connected wavelet-based autoencoder for MR image reconstruction. - Amir Aghabiglou; Ender Mete Eksioglu (TSP, 2022)

Deep unfolding architecture for MRI reconstruction enhanced by adaptive noise maps. - Amir Aghabiglou; Ender Mete Eksioglu (Biomed. Signal Process. Control., 2022)

Deep Network Series for Large-Scale High-Dynamic Range Imaging. - Amir Aghabiglou; Matthieu Terris; Adrian Jackson; Yves Wiaux (ICASSP, 2023)

R2D2: Deep neural network series for near real-time high-dynamic range imaging in radio astronomy. - Amir Aghabiglou; Chung San Chu; Adrian Jackson; Arwa Dabbech; Yves Wiaux (CoRR, 2023)

R2D2 Image Reconstruction with Model Uncertainty Quantification in Radio Astronomy. - Amir Aghabiglou; Chung San Chu; Arwa Dabbech; Yves Wiaux (EUSIPCO, 2024)

Scalable Non-Cartesian Magnetic Resonance Imaging with R2D2. - Yiwei Chen; Chao Tang; Amir Aghabiglou; Chung San Chu; Yves Wiaux (EUSIPCO, 2024)

The R2D2 deep neural network series paradigm for fast precision imaging in radio astronomy. - Amir Aghabiglou; Chung San Chu; Arwa Dabbech; Yves Wiaux (CoRR, 2024)

MR image reconstruction using iterative up and downsampling network. - Amir Aghabiglou; Dursun Ali Ekinci; Ender Mete Eksioglu; Behcet Ugur Töreyin (Expert Syst. Appl., 2024)

S-R2D2: a spherical extension of the R2D2 deep neural network series paradigm for wide-field radio-interferometric imaging. - A. Tajja; Amir Aghabiglou; Emma Tolley; Jean-Paul Kneib; Jean-Philippe Thiran; Yves Wiaux (CoRR, 2025)

Towards a robust R2D2 paradigm for radio-interferometric imaging: revisiting DNN training and architecture. - Amir Aghabiglou; Chung San Chu; Chao Tang; Arwa Dabbech; Yves Wiaux (CoRR, 2025)

The R2D2 Deep Neural Network Series for Scalable Non-Cartesian Magnetic Resonance Imaging. - Yiwei Chen; Amir Aghabiglou; Shijie Chen; Motahare Torki; Chao Tang; Ruud B. van Heeswijk; Yves Wiaux (CoRR, 2025)