OpenAlex | Unsupervised knowledge-transfer for learned image reconstruction*

Unsupervised knowledge-transfer for learned image reconstruction*

Work

Year: 2022

Type: article

Abstract: Deep learning-based image reconstruction approaches have demonstrated impressive empirical performance in many imaging modalities. These approaches usually require a large amount of high-quality paire... more

Source: Inverse Problems

Authors Riccardo Barbano, Željko Kereta, Andreas Hauptmann, Simon Arridge, Bangti Jin

Institutions University College London, University of Oulu, Chinese University of Hong Kong

Cites: 54

Cited by: 14

Related to: 10

FWCI: 1.999

Citation percentile (by year/subfield): 81.38

Topic: Medical Imaging Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Sustainable Development Goal Sustainable cities and communities

Open Access status: hybrid

Funders Wellcome / EPSRC Centre for Interventional and Surgical Sciences, Engineering and Physical Sciences Research Council

Grant IDS EP/S021930/1, EP/N510129/1