Amir Aghabiglou

According to our database, Amir Aghabiglou authored at least 15 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, March, 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, March, 2025

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, March, 2025

2024

MR image reconstruction using iterative up and downsampling network.

Amir Aghabiglou, Dursun Ali Ekinci, Ender Mete Eksioglu, Behcet Ugur Töreyin

Expert Syst. Appl., March, 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

Scalable Non-Cartesian Magnetic Resonance Imaging with R2D2.

Yiwei Chen, Chao Tang, Amir Aghabiglou, Chung San Chu, Yves Wiaux

Proceedings of the 32nd European Signal Processing Conference, 2024

R2D2 Image Reconstruction with Model Uncertainty Quantification in Radio Astronomy.

Amir Aghabiglou, Chung San Chu, Arwa Dabbech, Yves Wiaux

Proceedings of the 32nd European Signal Processing Conference, 2024

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

Deep Network Series for Large-Scale High-Dynamic Range Imaging.

Amir Aghabiglou, Matthieu Terris, Adrian Jackson, Yves Wiaux

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Deep unfolding architecture for MRI reconstruction enhanced by adaptive noise maps.

Amir Aghabiglou, Ender Mete Eksioglu

Biomed. Signal Process. Control., September, 2022

Densely connected wavelet-based autoencoder for MR image reconstruction.

Amir Aghabiglou, Ender Mete Eksioglu

Proceedings of the 45th International Conference on Telecommunications and Signal Processing, 2022

2021

Projection-Based cascaded U-Net model for MR image reconstruction.

Amir Aghabiglou, Ender Mete Eksioglu

Comput. Methods Programs Biomed., 2021

MR image reconstruction using densely connected residual convolutional networks.

Amir Aghabiglou, Ender Mete Eksioglu

Comput. Biol. Medicine, 2021

MR Image Reconstruction Based on Densely Connected Residual Generative Adversarial Network-DCR-GAN.

Amir Aghabiglou, Ender Mete Eksioglu

Proceedings of the Advances in Computational Collective Intelligence, 2021

2019

Privacy-Preserving Text Similarity via Non-Prefix-Free Codes.

M. Oguzhan Külekci, Ismail Habib, Amir Aghabiglou

Proceedings of the Similarity Search and Applications - 12th International Conference, 2019