A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting. Maier-Hein, L., Ross, T., Gröhl, J., Bodenstedt, S., Götz, M., Wirkert, S., Kenngott, H., Stock, C., Speidel, S., Glocker, B., & Maier-Hein, K. H. In Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016, of Lecture Notes in Computer Science. Springer International Publishing, 2016. 00003
bibtex   
@incollection{maier-hein_machine_2016,
	series = {Lecture {Notes} in {Computer} {Science}},
	title = {A {Machine} {Learning} {Based} {Approach} to {Fiber} {Tractography} {Using} {Classifier} {Voting}},
	copyright = {©2015 Springer International Publishing Switzerland},
	language = {en},
	urldate = {2016-05-12TZ},
	booktitle = {Medical {Image} {Computing} and {Computer}-{Assisted} {Intervention} -- {MICCAI} 2016},
	publisher = {Springer International Publishing},
	author = {Maier-Hein, Lena and Ross, Tobias and Gröhl, Janek and Bodenstedt, Sebastian and Götz, Michael and Wirkert, Sebastian and Kenngott, Hannes and Stock, Christian and Speidel, Stefanie and Glocker, Ben and Maier-Hein, Klaus H.},
	year = {2016},
	note = {00003},
	keywords = {Artificial Intelligence (incl. Robotics), Computer Graphics, Erst, Health Informatics, Image Processing and Computer Vision, Imaging / Radiology, Pattern Recognition, book section}
}
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