Learning the invisible:a hybrid deep learning-shearlet framework for limited angle computed tomography

Year of publication

2019

Authors

Bubba, Tatiana A.; Kutyniok, Gitta; Lassas, Matti; März, Maximilian; Samek, Wojciech; Siltanen, Samuli; Srinivasan, Vignesh

Organizations and authors

University of Helsinki

Lassas Matti

Siltanen Samuli

Bubba Tatiana A.

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal/Series

Inverse Problems

Parent publication name

Inverse Problems

Volume

Issue

Article number

064002

ISSN

0266-5611

Publication forum

59104

Publication forum level

Open access

Open access in the publisher’s service

Open access of publication channel

Partially open publication channel

Self-archived

Yes

License of the self-archived publication

Muu lisenssi

Other information

Fields of science

Mathematics

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Publication country

United Kingdom

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

DOI

10.1088/1361-6420/ab10ca

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes