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2020 – today
- 2025
[i8]A. Tajja, Amir Aghabiglou, Emma Tolley, Jean-Paul Kneib, Jean-Philippe Thiran, Yves Wiaux:
S-R2D2: a spherical extension of the R2D2 deep neural network series paradigm for wide-field radio-interferometric imaging. CoRR abs/2503.01462 (2025)- [i7]Amir Aghabiglou, Chung San Chu, Chao Tang, Arwa Dabbech, Yves Wiaux:
Towards a robust R2D2 paradigm for radio-interferometric imaging: revisiting DNN training and architecture. CoRR abs/2503.02554 (2025) - [i6]Yiwei Chen, Amir Aghabiglou, Shijie Chen, Motahare Torki, Chao Tang, Ruud B. van Heeswijk, Yves Wiaux:
The R2D2 Deep Neural Network Series for Scalable Non-Cartesian Magnetic Resonance Imaging. CoRR abs/2503.09559 (2025) - 2024
- [j4]Amir Aghabiglou, Dursun Ali Ekinci
, Ender Mete Eksioglu, Behcet Ugur Töreyin:
MR image reconstruction using iterative up and downsampling network. Expert Syst. Appl. 237(Part C): 121590 (2024) - [c6]Yiwei Chen, Chao Tang, Amir Aghabiglou, Chung San Chu, Yves Wiaux:
Scalable Non-Cartesian Magnetic Resonance Imaging with R2D2. EUSIPCO 2024: 1511-1515 - [c5]Amir Aghabiglou, Chung San Chu, Arwa Dabbech, Yves Wiaux:
R2D2 Image Reconstruction with Model Uncertainty Quantification in Radio Astronomy. EUSIPCO 2024: 1926-1931 - [i5]Amir Aghabiglou, Chung San Chu, Arwa Dabbech, Yves Wiaux:
The R2D2 deep neural network series paradigm for fast precision imaging in radio astronomy. CoRR abs/2403.05452 (2024) - [i4]Yiwei Chen, Chao Tang, Amir Aghabiglou, Chung San Chu, Yves Wiaux:
Scalable Non-Cartesian Magnetic Resonance Imaging with R2D2. CoRR abs/2403.17905 (2024) - [i3]Amir Aghabiglou, Chung San Chu, Arwa Dabbech, Yves Wiaux:
R2D2 image reconstruction with model uncertainty quantification in radio astronomy. CoRR abs/2403.18052 (2024) - 2023
- [c4]Amir Aghabiglou, Matthieu Terris, Adrian Jackson, Yves Wiaux:
Deep Network Series for Large-Scale High-Dynamic Range Imaging. ICASSP 2023: 1-5 - [i2]Amir Aghabiglou, Chung San Chu, Adrian Jackson, Arwa Dabbech, Yves Wiaux:
R2D2: Deep neural network series for near real-time high-dynamic range imaging in radio astronomy. CoRR abs/2309.03291 (2023) - 2022
- [j3]Amir Aghabiglou, Ender Mete Eksioglu:
Deep unfolding architecture for MRI reconstruction enhanced by adaptive noise maps. Biomed. Signal Process. Control. 78: 104016 (2022) - [c3]Amir Aghabiglou, Ender Mete Eksioglu:
Densely connected wavelet-based autoencoder for MR image reconstruction. TSP 2022: 212-215 - [i1]Amir Aghabiglou, Matthieu Terris, Adrian Jackson, Yves Wiaux:
Deep network series for large-scale high-dynamic range imaging. CoRR abs/2210.16060 (2022) - 2021
- [j2]Amir Aghabiglou, Ender Mete Eksioglu:
MR image reconstruction using densely connected residual convolutional networks. Comput. Biol. Medicine 139: 105010 (2021) - [j1]Amir Aghabiglou, Ender Mete Eksioglu:
Projection-Based cascaded U-Net model for MR image reconstruction. Comput. Methods Programs Biomed. 207: 106151 (2021) - [c2]Amir Aghabiglou, Ender Mete Eksioglu:
MR Image Reconstruction Based on Densely Connected Residual Generative Adversarial Network-DCR-GAN. ICCCI (CCIS Volume) 2021: 679-689
2010 – 2019
- 2019
- [c1]M. Oguzhan Külekci, Ismail Habib, Amir Aghabiglou:
Privacy-Preserving Text Similarity via Non-Prefix-Free Codes. SISAP 2019: 94-102
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