Amir Aghabiglou

According to our database, Amir Aghabiglou authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

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