Work

Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution

Year: 2017

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-66182-7_70

Authors: Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander

Institutions: Microsoft Research (United Kingdom), University College London, University of Oxford, Wellcome Centre for Integrative Neuroimaging

Language: English

Topic: Advanced Image Processing Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, Medical Research Council, Engineering and Physical Sciences Research Council

Awards: G2810537366, G4510347995, G7628549173, G8057189669, G818010940, G9000089182

OpenAlex ID: W2610571781

FWCI: 5.595

Cites: 12

Cited by: 154

Related to: 10