most citedAstronomical source detection in radio continuum maps with deep neural networks

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

astro-ph.IM2026

Transformer-Based Source Detection and Morphological Classification in LOFAR Deep-Field Continuum Images

Guangwen Chen, Kristian Z. Adami, John Abela +7

Radio source detection and morphological classification are fundamental for exploiting the scientific potential of modern radio continuum surveys. However, the rapidly increasing d…

astro-ph.IM2022★ 1 cited

Astronomical source detection in radio continuum maps with deep neural networks

S. Riggi, D. Magro, R. Sortino +13

Source finding is one of the most challenging tasks in upcoming radio continuum surveys with SKA precursors, such as the Evolutionary Map of the Universe (EMU) survey of the Austra…