%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 }