Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography
Work
Year: 2019
Type: article
Abstract: The high complexity of various inverse problems poses a significant challenge to model-based reconstruction schemes, which in such situations often reach their limits. At the same time, we witness an ... more
Source: Inverse Problems
Institutions Statistics Finland, University of Helsinki, Technische Universität Berlin, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Cites: 125
Cited by: 160
Related to: 10
FWCI: 22.23
Citation percentile (by year/subfield): 100
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green