Automated Quality Control
Automated Quality Control is a formal method in construction automation that systematically verifies compliance with specified quality standards through the integration of sensor technologies, data analytics, and decision algorithms to identify deviations in real time without manual intervention.
129
Publications
7.4K
Citations
599
Authors
302
Institutions
Publications per year
2017–2026
59
Parents
129
MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites
Oscar Estéban, Daniel Birman, Marie Schaer et al. · PLoS ONE · 2017 · 998 citations · Full text
Matteo Bastiani, Michiel Cottaar, Sean P. Fitzgibbon et al. · NeuroImage · 2018 · 351 citations · Full text
An Open Resource for Non-human Primate Imaging
Michael P. Milham, Lei Ai, Bonhwang Koo et al. · Neuron · 2018 · 282 citations · Full text
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302
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
7 publications
1.3K citations

Radboud University Nijmegen
Nijmegen, The Netherlands
4 h-index
10 publications
752 citations

University of British Columbia
Vancouver, Canada
3 h-index
9 publications
204 citations
Montreal Neurological Institute and Hospital
Montreal, Canada
3 h-index
9 publications
1.1K citations

McGill University
Montreal, Canada
3 h-index
11 publications
1.4K citations

Radboud University Medical Center
Nijmegen, The Netherlands
3 h-index
8 publications
188 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
3 publications
45 citations
Stanford University
Stanford, United States
3 h-index
9 publications
4.4K citations
1–8 of 302
4 publications · 116 citations
4
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3 publications · 457 citations
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3 publications · 106 citations
3
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3 publications · 84 citations
3
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3 publications · 84 citations
3
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