| Property |
Value |
| Working Groups |
RG Li |
| Subproject |
RA1.2 |
| Open Access |
Yes |
| Publication Type |
Journal Article |
| Peer Reviewed |
Yes |
| DOI |
10.1088/1361-6420/ab6d57 |
| Publication Year |
2020 |
| Title |
NETT: solving inverse problems with deep neural networks |
| Journal |
Inverse Problems |
| ISSN |
0266-5611 |
| eISSN |
0266-5611 |
| URL |
http://dx.doi.org/10.1088/1361-6420/ab6d57 |
| Pages |
065005 |
| Issue |
6 |
| Volume |
36 |
| Journal Abbreviation |
Inverse Probl |
| Authors |
Li H, Schwab J, Antholzer S, Haltmeier M |
| First Author |
Li H |
| Last Author |
Haltmeier M |
External Resources
iopscien...57/pdfhttps://iopscience.iop.org/article/10.1088/1361-6420/ab6d57/pdf Article fulltext
2/80525https://publications.goettingen-research-online.de/handle/2/80525 GRO.publications identifier
0000-0002-2434-9878https://orcid.org/0000-0002-2434-9878 ORCID identifier (Housen Li)
05xy1nn52https://ror.org/05xy1nn52 ROR identifier (05xy1nn52, Multiscale Bioimaging)
054pv6659https://ror.org/054pv6659 ROR identifier (054pv6659, Universität Innsbruck)
01y9bpm73https://ror.org/01y9bpm73 ROR identifier (01y9bpm73, University of Göttingen)
mbexc.de...works/https://mbexc.de/nett-solving-inverse-problems-with-deep-neuralnetworks/ Website entry (mbexc.de)