Combining deep learning and active contours opens the way to robust, automated analysis of 3D brain cytoarchitectonics

K. Thierbach; P.L. Bazin; W. de Back; F. Gavriilidis; E. Kirilina; C. Jager; M. Morawski; S. Geyer; Nikolaus Weiskopf

Combining deep learning and active contours opens the way to robust, automated analysis of 3D brain cytoarchitectonics

K. Thierbach, P.L. Bazin, W. de Back, F. Gavriilidis, E. Kirilina, C. Jager, M. Morawski, S. Geyer, Nikolaus Weiskopf

Netherlands Institute for Neuroscience (NIN)

Research output: Contribution to conference › Paper › Scientific › peer-review

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Original language	English
Publication status	Published - 2018

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@conference{13287c223fd846ad978974249281b221,

title = "Combining deep learning and active contours opens the way to robust, automated analysis of 3D brain cytoarchitectonics",

author = "K. Thierbach and P.L. Bazin and {de Back}, W. and F. Gavriilidis and E. Kirilina and C. Jager and M. Morawski and S. Geyer and Nikolaus Weiskopf",

year = "2018",

language = "English",

}