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Adaptable Image Quality Assessment Using Meta-Reinforcement Learning of Task Amenability

Year: 2021
Type: conference-paper
DOI: 10.1007/978-3-030-87583-1_19
Authors: Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, J. Alison Noble, Dean C. Barratt, Yipeng Hu
Institutions: Wellcome / EPSRC Centre for Interventional and Surgical Sciences, University College London, University College Hospital, University College London Hospitals NHS Foundation Trust, Stanford Medicine, Stanford University, University of Oxford
Language: English
Open Access status: green
Funders: Cancer Research UK, University College London, Wellcome / EPSRC Centre for Interventional and Surgical Sciences, Natural Sciences and Engineering Research Council of Canada, Medical Research Council, Engineering and Physical Sciences Research Council
Awards: G1206581120, G1633672591, G1677518145, G1785166113, G1970081937, G2458704780, Defining the microenvironmental contexture of the biopsy-naive, MRI-characterized prostate., G2949866224, G2963854556, G444630160, The Alan Turing Institute, EPSRC Centre for Doctoral Training in Intelligent, Integrated Imaging In Healthcare (i4health), G5149399630, G6090252978, G7394064347, G8686463902, G8715192564, G8795210754, G8832481090, G985999274
OpenAlex ID: W3204462902
FWCI: 0.736
Cites: 24
Cited by: 11
Related to: 10