272 citations · 1.5k across the 26 of their papers we have counts for
3 papers · 1 filter
Deep Learning-Based Super-Resolution and De-Noising for XMM-Newton Images
Sam F. Sweere, Ivan Valtchanov, Maggie Lieu +6
The field of artificial intelligence based image enhancement has been rapidly evolving over the last few years and is able to produce impressive results on non-astronomical images.…
Learning to Denoise Astronomical Images with U-nets
Antonia Vojtekova, Maggie Lieu, Ivan Valtchanov +4
Astronomical images are essential for exploring and understanding the universe. Optical telescopes capable of deep observations, such as the Hubble Space Telescope, are heavily ove…
Detecting solar system objects with convolutional neural networks
Maggie Lieu, Luca Conversi, Bruno Altieri +1
In the preparation for ESA's Euclid mission and the large amount of data it will produce, we train deep convolutional neural networks on Euclid simulations classify solar system ob…