@phdthesis{akhaury2026thesis,title={Advancing Astronomical Image Deconvolution with Deep Learning},author={Akhaury, U.},school={{École Polytechnique Fédérale de Lausanne (EPFL)}},year={2026},}
Peer-reviewed journal articles
Joint multiband deconvolution for Euclid and Vera C. Rubin images
U. Akhaury, P. Jablonka, F. Courbin, and 1 more author
@article{akhaury2025joint,title={Joint multiband deconvolution for {Euclid} and {Vera C. Rubin} images},author={Akhaury, U. and Jablonka, P. and Courbin, F. and Starck, J.-L.},journal={Astronomy \& Astrophysics},volume={697},pages={A136},year={2025},doi={10.1051/0004-6361/202452308},}
Ground-based image deconvolution with Swin Transformer UNet
U. Akhaury, P. Jablonka, J.-L. Starck, and 1 more author
@article{akhaury2024ground,title={Ground-based image deconvolution with {Swin Transformer UNet}},author={Akhaury, U. and Jablonka, P. and Starck, J.-L. and Courbin, F.},journal={Astronomy \& Astrophysics},volume={688},pages={A6},year={2024},doi={10.1051/0004-6361/202449495},}
Deep Learning-based galaxy image deconvolution
U. Akhaury, J.-L. Starck, P. Jablonka, and 2 more authors
@article{akhaury2022deep,title={Deep Learning-based galaxy image deconvolution},author={Akhaury, U. and Starck, J.-L. and Jablonka, P. and Courbin, F. and Michalewicz, K.},journal={Frontiers in Astronomy and Space Sciences},volume={9},pages={1001043},year={2022},doi={10.3389/fspas.2022.1001043},}
ShapeNet: Shape constraint for galaxy image deconvolution
F. Nammour, U. Akhaury, J. N. Girard, and 4 more authors
@article{nammour2022shapenet,title={{ShapeNet}: Shape constraint for galaxy image deconvolution},author={Nammour, F. and Akhaury, U. and Girard, J. N. and Lanusse, F. and Sureau, F. and Ben Ali, C. and Starck, J.-L.},journal={Astronomy \& Astrophysics},volume={663},pages={A69},year={2022},doi={10.1051/0004-6361/202142626},}
Conference proceedings and posters
Astronomical Image Deconvolution: from CNNs to Transformers
U. Akhaury, P. Jablonka, F. Courbin, and 1 more author
In IEEE International Conference on Computational Photography (ICCP), 2024
@inproceedings{akhaury2021machine,title={Machine Learning Based Forward Solver: An Automatic Framework in {gprMax}},author={Akhaury, U. and Giannakis, I. and Warren, C. and Giannopoulos, A.},booktitle={11th IEEE International Workshop on Advanced Ground Penetrating Radar (IWAGPR)},address={Valletta, Malta},pages={1--6},year={2021},doi={10.1109/IWAGPR50767.2021.9843172},}
Contributed talks
Joint multi-band deconvolution for Euclid and Vera C. Rubin images