50 citations · 112 across the 11 of their papers we have counts for
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Scalable precision wide-field imaging in radio interferometry: II. AIRI validated on ASKAP data
Amanda G. Wilber, Arwa Dabbech, Matthieu Terris +2
Accompanying Part I, this sequel delineates a validation of the recently proposed AI for Regularisation in radio-interferometric Imaging (AIRI) algorithm on observations from the A…
Deep network series for large-scale high-dynamic range imaging
Amir Aghabiglou, Matthieu Terris, Adrian Jackson +1
We propose a new approach for large-scale high-dynamic range computational imaging. Deep Neural Networks (DNNs) trained end-to-end can solve linear inverse imaging problems almost…
First AI for deep super-resolution wide-field imaging in radio astronomy: unveiling structure in ESO 137--006
Arwa Dabbech, Matthieu Terris, Adrian Jackson +3
We introduce the first AI-based framework for deep, super-resolution, wide-field radio-interferometric imaging, and demonstrate it on observations of the ESO~137-006 radio galaxy.…