@conference {48184,
	title = {Model-based autosegmentation of the central brain of the honeybee, Apis mellifera, using active statistical shape models.},
	booktitle = {Neuroinformatics 2008},
	year = {2008},
	month = {2008 Sep 07},
	address = {Stockholm, Sweden},
	abstract = {<p>The Honeybee Brain Atlas serves as 3D database and communicative platform to accumulate structural data, i.e. reconstructed neurons, derived from confocal scans (Brandt et al., 2005) (www.neurobiologie.fu-berlin.de/beebrain/) (1). Transforming neurons into the atlas requires manual segmentation of neuropils within confocal images, a time-consuming task requiring expertise in identifying biological structures which can result in different outcomes from various segmenters.</p>
},
	doi = {10.3389/conf.neuro.11.2008.01.064},
	author = {Singer, Jochen and Lienhard, Matthias and Seim, Heiko and Kainmueller, Dagmar and Kuss, Anja and Lamecker, Hans and Zachow, Stefan and Menzel, Randolf and Rybak, J{\"u}rgen}
}
