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Cited article:

Optimizing machine learning methods to discover strong gravitational lenses in the deep lens survey

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The Dark Energy Survey Bright Arcs Survey: Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey 5000 Square Degree Footprint

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Auto-identification of unphysical source reconstructions in strong gravitational lens modelling

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New High-quality Strong Lens Candidates with Deep Learning in the Kilo-Degree Survey

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The use of convolutional neural networks for modelling large optically-selected strong galaxy-lens samples

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Image simulations for gravitational lensing withskylens

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Using deep Residual Networks to search for galaxy-Ly α emitter lens candidates based on spectroscopic selection

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Machine learning and Kolmogorov analysis to reveal gravitational lenses

S S Mirzoyan, H Khachatryan, G Yegorian and V G Gurzadyan
Monthly Notices of the Royal Astronomical Society: Letters 489 (1) L32 (2019)
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Automated Lensing Learner: Automated Strong Lensing Identification with a Computer Vision Technique

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The Astrophysical Journal 877 (1) 58 (2019)
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LinKS: discovering galaxy-scale strong lenses in the Kilo-Degree Survey using convolutional neural networks

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Using convolutional neural networks to identify gravitational lenses in astronomical images

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EasyCritics – I. Efficient detection of strongly lensing galaxy groups and clusters in wide-field surveys

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Finding high-redshift strong lenses in DES using convolutional neural networks

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CMU DeepLens: deep learning for automatic image-based galaxy–galaxy strong lens finding

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Galaxy–galaxy lensing in the outskirts of CLASH clusters: constraints on local shear and testing mass–luminosity scaling relation

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Auto-detection of strong gravitational lenses using convolutional neural networks

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The DES Bright Arcs Survey: Hundreds of Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey Science Verification and Year 1 Observations

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Finding strong gravitational lenses in the Kilo Degree Survey with Convolutional Neural Networks

C. E. Petrillo, C. Tortora, S. Chatterjee, et al.
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Monthly Notices of the Royal Astronomical Society 471 (3) 3378 (2017)
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Anupreeta More, Aprajita Verma, Philip J. Marshall, et al.
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Compound lensing: Einstein zig-zags and high-multiplicity lensed images

Thomas E. Collett and David J. Bacon
Monthly Notices of the Royal Astronomical Society 456 (2) 2210 (2016)
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OBSERVATION AND CONFIRMATION OF SIX STRONG-LENSING SYSTEMS IN THE DARK ENERGY SURVEY SCIENCE VERIFICATION DATA

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The Astrophysical Journal 827 (1) 51 (2016)
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Nan Li, Michael D. Gladders, Esteban M. Rangel, et al.
The Astrophysical Journal 828 (1) 54 (2016)
https://doi.org/10.3847/0004-637X/828/1/54

A 7 deg2 survey for galaxy-scale gravitational lenses with the HST imaging archive★

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THE CLUSTER LENSING AND SUPERNOVA SURVEY WITH HUBBLE: AN OVERVIEW

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https://doi.org/10.1088/0067-0049/199/2/25

THE CFHTLS-STRONG LENSING LEGACY SURVEY (SL2S): INVESTIGATING THE GROUP-SCALE LENSES WITH THE SARCS SAMPLE

A. More, R. Cabanac, S. More, et al.
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https://doi.org/10.1088/0004-637X/749/1/38

Predicting the number of giant arcs expected in the next-generation wide-field surveys from space

M. Boldrin, C. Giocoli, M. Meneghetti and L. Moscardini
Monthly Notices of the Royal Astronomical Society 427 (4) 3134 (2012)
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GALAXY SCALE LENSES IN THE RCS2. I. FIRST CATALOG OF CANDIDATE STRONG LENSES

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https://doi.org/10.1088/0004-637X/748/2/129

Lensed arc statistics: comparison of Millennium simulation galaxy clusters to Hubble Space Telescope observations of an X-ray selected sample

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Monthly Notices of the Royal Astronomical Society 418 (1) 54 (2011)
https://doi.org/10.1111/j.1365-2966.2011.19293.x

LoCuSS: first results from strong-lensing analysis of 20 massive galaxy clusters atz= 0.2

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The lensing efficiencies of MACS X-ray-selected versus RCS optically selected galaxy clusters

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AUTOMATED DETECTION OF GALAXY-SCALE GRAVITATIONAL LENSES IN HIGH-RESOLUTION IMAGING DATA

Philip J. Marshall, David W. Hogg, Leonidas A. Moustakas, et al.
The Astrophysical Journal 694 (2) 924 (2009)
https://doi.org/10.1088/0004-637X/694/2/924

ENHANCED LENSING RATE BY CLUSTERING OF MASSIVE GALAXIES: NEWLY DISCOVERED SYSTEMS IN THE SLACS FIELDS

Elisabeth R. Newton, Philip J. Marshall and Tommaso Treu
The Astrophysical Journal 696 (2) 1125 (2009)
https://doi.org/10.1088/0004-637X/696/2/1125

THE SLOAN DIGITAL SKY SURVEY DISCOVERY OF A STRONGLY LENSED POST-STARBURST GALAXY ATz= 0.766

Min-Su Shin, Michael A. Strauss, Masamune Oguri, et al.
The Astronomical Journal 136 (1) 44 (2008)
https://doi.org/10.1088/0004-6256/136/1/44

First Catalog of Strong Lens Candidates in the COSMOS Field

Cecile Faure, Jean‐Paul Kneib, Giovanni Covone, et al.
The Astrophysical Journal Supplement Series 176 (1) 19 (2008)
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Realistic simulations of gravitational lensing by galaxy clusters: extracting arc parameters from mock DUNE images

M. Meneghetti, P. Melchior, A. Grazian, et al.
Astronomy & Astrophysics 482 (2) 403 (2008)
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