| 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
gro-2/80525http://resolver.sub.uni-goettingen.de/purl?gro-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)
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)
