13 citations · 22 across the 3 of their papers we have counts for
3 papers
Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection
Baoqiang Lao, Heinz Andernach, Xiaolong Yang +6
Bent-tail radio galaxies (BTRGs) are characterized by bent radio lobes. This unique shape is mainly caused by the movement of the galaxy within a cluster, during which the radio je…
A Machine Learning made Catalog of FR-II Radio Galaxies from the FIRST Survey
Bao-Qiang Lao, Xiao-Long Yang, Sumit Jaiswal +4
We present an independent catalog (FRIIRGcat) of 45,241 Fanaroff-Riley Type II (FR-II) radio galaxies compiled from the Very Large Array Faint Images of the Radio Sky at Twenty-cen…
Radio Sources Segmentation and Classification with Deep Learning
Baoqiang Lao, Sumit Jaiswal, Zhen Zhao +4
Modern large radio continuum surveys have high sensitivity and resolution, and can resolve previously undetected extended and diffuse emissions, which brings great challenges for t…