62 citations · 68 across the 2 of their papers we have counts for
3 papers
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…
Multiwavelength classification of X-ray selected galaxy cluster candidates using convolutional neural networks
Matej Kosiba, Maggie Lieu, Bruno Altieri +15
Galaxy clusters appear as extended sources in XMM-Newton images, but not all extended sources are clusters. So, their proper classification requires visual inspection with optical…
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…