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@inproceedings{691257, author = {Schwarz, Daniel and Kašpárek, Tomáš}, address = {Florence}, booktitle = {Neuroimage - supplementum}, keywords = {MRI;image processing;computational neuroanatomy}, language = {eng}, location = {Florence}, publisher = {Elsevier}, title = {Nonlinear Registration for Deformation-Based Morphometry in First Episode Schizophrenia}, year = {2006} }
TY - JOUR ID - 691257 AU - Schwarz, Daniel - Kašpárek, Tomáš PY - 2006 TI - Nonlinear Registration for Deformation-Based Morphometry in First Episode Schizophrenia PB - Elsevier CY - Florence KW - MRI;image processing;computational neuroanatomy N2 - The methods of image registration play a crucial role in the algorithms of computational neuroanatomy. Here, a nonlinear registration method able to handle multimodal image data is designed and used for deformation based morphometry (DBM). Results of its application on real 3D medical images in the research of schizophrenia are presented. ER -
SCHWARZ, Daniel and Tomáš KAŠPÁREK. Nonlinear Registration for Deformation-Based Morphometry in First Episode Schizophrenia. In \textit{Neuroimage - supplementum}. Florence: Elsevier, 2006, 2 pp. ISSN~1053-8119.
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