Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Conference Paper
%1 conf/ipmi/SchleglSWSL17
%A Schlegl, Thomas
%A Seeböck, Philipp
%A Waldstein, Sebastian M.
%A Schmidt-Erfurth, Ursula
%A Langs, Georg
%B IPMI
%D 2017
%E Niethammer, Marc
%E Styner, Martin
%E Aylward, Stephen R.
%E Zhu, Hongtu
%E Oguz, Ipek
%E Yap, Pew-Thian
%E Shen, Dinggang
%I Springer
%K dblp
%P 146-157
%T Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery.
%U http://dblp.uni-trier.de/db/conf/ipmi/ipmi2017.html#SchleglSWSL17
%V 10265
%@ 978-3-319-59050-9
@inproceedings{conf/ipmi/SchleglSWSL17,
added-at = {2019-09-16T00:00:00.000+0200},
author = {Schlegl, Thomas and Seeböck, Philipp and Waldstein, Sebastian M. and Schmidt-Erfurth, Ursula and Langs, Georg},
biburl = {https://www.bibsonomy.org/bibtex/2ff4c2fef9485980d8013e8a2d416316b/dblp},
booktitle = {IPMI},
crossref = {conf/ipmi/2017},
editor = {Niethammer, Marc and Styner, Martin and Aylward, Stephen R. and Zhu, Hongtu and Oguz, Ipek and Yap, Pew-Thian and Shen, Dinggang},
ee = {https://www.wikidata.org/entity/Q63388000},
interhash = {3f6caabca5dbf98939bc817bd0d41b8b},
intrahash = {ff4c2fef9485980d8013e8a2d416316b},
isbn = {978-3-319-59050-9},
keywords = {dblp},
pages = {146-157},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2019-09-17T12:59:03.000+0200},
title = {Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery.},
url = {http://dblp.uni-trier.de/db/conf/ipmi/ipmi2017.html#SchleglSWSL17},
volume = 10265,
year = 2017
}