000696950 000__ 03305cam\a2200493Ki\4500 000696950 001__ 696950 000696950 005__ 20230306135629.0 000696950 006__ m\\\\\o\\d\\\\\\\\ 000696950 007__ cr\cnu|||unuuu 000696950 008__ 140219s2014\\\\sz\a\\\\ob\\\\101\0\eng\d 000696950 020__ $$a9783319024752 $$qelectronic book 000696950 020__ $$a3319024752 $$qelectronic book 000696950 020__ $$z9783319024745 000696950 0247_ $$a10.1007/978-3-319-02475-2$$2doi 000696950 035__ $$aSP(OCoLC)ocn870709567 000696950 035__ $$aSP(OCoLC)870709567 000696950 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDXCP$$dN$T$$dE7B$$dCOO 000696950 049__ $$aISEA 000696950 050_4 $$aRC386.6.M34 000696950 08204 $$a616.07/548$$223 000696950 1112_ $$aMICCAI Workshop on Computation Diffusion MRI$$n(5th :$$d2013 :$$cNagoya-shi, Japan) 000696950 24510 $$aComputational diffusion MRI and brain connectivity$$h[electronic resource] :$$bMICCAI Workshops, Nagoya, Japan, September 22nd, 2013 /$$cThomas Schultz...[and more], editors. 000696950 264_1 $$aCham :$$bSpringer,$$c2014. 000696950 300__ $$a1 online resource (xiv, 255 pages) :$$billustrations (some color). 000696950 336__ $$atext$$btxt$$2rdacontent 000696950 337__ $$acomputer$$bc$$2rdamedia 000696950 338__ $$aonline resource$$bcr$$2rdacarrier 000696950 4901_ $$aMathematics and Visualization,$$x1612-3786 000696950 504__ $$aIncludes bibliographical references and index. 000696950 506__ $$aAccess limited to authorized users. 000696950 520__ $$aThis volume contains the proceedings from two closely related workshops: Computational Diffusion MRI (CDMRI'13) and Mathematical Methods from Brain Connectivity (MMBC'13), held under the auspices of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, which took place in Nagoya, Japan, September 2013. Inside, readers will find contributions ranging from mathematical foundations and novel methods for the validation of inferring large-scale connectivity from neuroimaging data to the statistical analysis of the data, accelerated methods for data acquisition, and the most recent developments on mathematical diffusion modeling. This volume offers a valuable starting point for anyone interested in learning computational diffusion MRI and mathematical methods for brain connectivity as well as offers new perspectives and insights on current research challenges for those currently in the field. It will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics. 000696950 588__ $$aDescription based on online resource; title from PDF title page (SpringerLink, viewed January 20, 2014). 000696950 650_0 $$aDiffusion magnetic resonance imaging$$xMathematical models$$vCongresses. 000696950 650_0 $$aDiffusion magnetic resonance imaging$$xData processing$$vCongresses. 000696950 650_0 $$aBrain$$xImaging$$xMathematical models$$vCongresses. 000696950 650_0 $$aMedical informatics$$vCongresses. 000696950 7001_ $$aSchultz, Thomas,$$eeditor of compilation. 000696950 7112_ $$aMathematical Methods for Brain Connectivity Workshop$$d(2013 :$$cNagoya-shi, Japan) 000696950 7112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(16th :$$d2013 :$$cNagoya-shi, Japan) 000696950 830_0 $$aMathematics and visualization,$$x1612-3786 000696950 85280 $$bebk$$hSpringerLink 000696950 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-02475-2$$zOnline Access 000696950 909CO $$ooai:library.usi.edu:696950$$pGLOBAL_SET 000696950 980__ $$aEBOOK 000696950 980__ $$aBIB 000696950 982__ $$aEbook 000696950 983__ $$aOnline 000696950 994__ $$a92$$bISE