Skip to main navigation
Skip to search
Skip to main content
Heriot-Watt Research Portal Home
Help & FAQ
Home
Profiles
Research units
Research output
Datasets
Impacts
Equipment
Prizes
Activities
Press/Media
Courses
Search by expertise, name or affiliation
R2D2 deep neural network series for radio-interferometric imaging
Amir Aghabiglou
(Creator)
Chung San Chu
(Creator)
Arwa Dabbech
(Contributor)
Yves Wiaux
(Creator)
Institute of Sensors, Signals & Systems
School of Engineering & Physical Sciences
Dataset
Overview
Research output
(2)
Research output
Research output per year
2024
2024
2024
2
Article
Research output per year
Research output per year
2 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
Search results
2024
CLEANing Cygnus A deep and fast with R2D2
Dabbech, A.
,
Aghabiglou, A.
, Chu, C. S. &
Wiaux, Y.
,
10 May 2024
,
In:
Astrophysical Journal Letters.
966
,
2
, L34.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
learning
100%
neural networks
100%
precision
100%
cleaning
100%
Neural Network
100%
2
Citations (Scopus)
93
Downloads (Pure)
The R2D2 deep neural network series paradigm for fast precision imaging in radio astronomy
Aghabiglou, A.
, Chu, C. S.,
Dabbech, A.
&
Wiaux, Y.
,
Jul 2024
,
In:
Astrophysical Journal: Supplement Series.
273
,
1
, 3.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
data
100%
algorithms
100%
range
100%
neural networks
100%
precision
100%
1
Citation (Scopus)
90
Downloads (Pure)