@inbook{BauerBook2014,
	abstract = {In diagnostic neuroradiology as well as in radiation oncology and neurosurgery, there is an increasing demand for accurate segmentation of tumor-bearing brain images. Atlas-based segmentation is an appealing automatic technique thanks to its robustness and versatility. However, atlas-based segmentation of tumor-bearing brain images is challenging due to the confounding effects of the tumor in the patient image. In this article, we provide a brief background on brain tumor imaging and introduce the clinical perspective, before we categorize and review the state of the art in the current literature on atlas-based segmentation for tumor-bearing brain images. We also present selected methods and results from our own research in more detail. Finally, we conclude with a short summary and look at new developments in the field, including requirements for future routine clinical use.},
	author = {Bauer S. and Wiest R. and Slotboom J. and Reyes M.},
	booktitle = {Tumors of the Central Nervous System, Vol. 12},
	date-added = {2012-11-02 16:03:57 +0000},
	date-modified = {2014-06-16 11:54:03 +0000},
	edition = {M. A. Hayat, Ed.},
	editor = {Hayat, M.A.},
	pages = {159-169},
	publisher = {Springer Berlin / Heidelberg},
	title = {Atlas-based Segmentation of Tumor-bearing Brain Images},
	url = {http://www.springer.com/biomed/cancer/book/978-94-007-7216-8},
	volume = {12},
	year = {2014},
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	Bdsk-Url-1 = {http://www.springer.com/series/8812}}