%0 Conference Paper %1 conf/ipmi/ElhabianW17 %A Elhabian, Shireen Y. %A Whitaker, Ross T. %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 93-105 %T From Label Maps to Generative Shape Models: A Variational Bayesian Learning Approach. %U http://dblp.uni-trier.de/db/conf/ipmi/ipmi2017.html#ElhabianW17 %V 10265 %@ 978-3-319-59050-9

@inproceedings{conf/ipmi/ElhabianW17, added-at = {2020-09-05T00:00:00.000+0200}, author = {Elhabian, Shireen Y. and Whitaker, Ross T.}, biburl = {https://www.bibsonomy.org/bibtex/2167269f6b8a8d347769c54ed71c0fc61/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://doi.org/10.1007/978-3-319-59050-9_8}, interhash = {095f4d0abf41c8671fbe9e934f938326}, intrahash = {167269f6b8a8d347769c54ed71c0fc61}, isbn = {978-3-319-59050-9}, keywords = {dblp}, pages = {93-105}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2020-09-09T14:26:34.000+0200}, title = {From Label Maps to Generative Shape Models: A Variational Bayesian Learning Approach.}, url = {http://dblp.uni-trier.de/db/conf/ipmi/ipmi2017.html#ElhabianW17}, volume = 10265, year = 2017 }