%0 Book Section
%1 Thierbach2018-ql
%A Thierbach, Konstantin
%A Bazin, Pierre-Louis
%A Back, Walter de
%A Gavriilidis, Filippos
%A Kirilina, Evgeniya
%A Jäger, Carsten
%A Morawski, Markus
%A Geyer, Stefan
%A Weiskopf, Nikolaus
%A Scherf, Nico
%B Machine Learning in Medical Imaging
%C Cham
%D 2018
%I Springer International Publishing
%K
%P 179--187
%T Combining deep learning and active contours opens the way to robust, automated analysis of brain cytoarchitectonics
@incollection{Thierbach2018-ql,
added-at = {2024-09-10T11:56:37.000+0200},
address = {Cham},
author = {Thierbach, Konstantin and Bazin, Pierre-Louis and Back, Walter de and Gavriilidis, Filippos and Kirilina, Evgeniya and J{\"a}ger, Carsten and Morawski, Markus and Geyer, Stefan and Weiskopf, Nikolaus and Scherf, Nico},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2c82019c2f967338c1d002e623a48059d/scadsfct},
booktitle = {Machine Learning in Medical Imaging},
interhash = {a7a417d6c808f6c7023003318190a65f},
intrahash = {c82019c2f967338c1d002e623a48059d},
keywords = {},
pages = {179--187},
publisher = {Springer International Publishing},
series = {Lecture notes in computer science},
timestamp = {2024-09-10T15:15:57.000+0200},
title = {Combining deep learning and active contours opens the way to robust, automated analysis of brain cytoarchitectonics},
year = 2018
}