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000924931 001__ 924931
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000924931 020__ $$a9783030390747$$q(electronic book)
000924931 020__ $$a3030390748$$q(electronic book)
000924931 020__ $$z9783030390730
000924931 0248_ $$a10.1007/978-3-030-39
000924931 035__ $$aSP(OCoLC)on1137807861
000924931 035__ $$aSP(OCoLC)1137807861
000924931 040__ $$aLQU$$beng$$cLQU$$dGW5XE
000924931 049__ $$aISEA
000924931 050_4 $$aRC683.5.I42
000924931 08204 $$a006.37
000924931 08204 $$a006.6
000924931 1112_ $$aSTACOM (Workshop)$$n(10th :$$d2019 :$$cShenzhen Shi, China)
000924931 24510 $$aStatistical atlases and computational models of the heart :$$bMulti-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges :  10th International Workshop, STACOM 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised selected papers /$$cMihaela Pop, Maxime Sermesant, Oscar Camara, Xiahai Zhuang, Shuo Li, Alistair Young, Tommaso Mansi, Avan Suinesiaputra (eds.).
000924931 2463_ $$aSTACOM 2019
000924931 264_1 $$aCham :$$bSpringer,$$c2020.
000924931 300__ $$a1 online resource (xv, 417 pages) :$$billustrations.
000924931 336__ $$atext$$btxt$$2rdacontent
000924931 337__ $$acomputer$$bc$$2rdamedia
000924931 338__ $$aonline resource$$bcr$$2rdacarrier
000924931 4901_ $$aLecture notes in computer science ;$$v12009
000924931 4901_ $$aLNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
000924931 500__ $$aIncludes author index.
000924931 5050_ $$aRegular Papers -- Multi-Sequence CMR Segmentation Challenge -- CRT-EPiggy Challenge -- LV Full Quantification Challenge.
000924931 506__ $$aAccess limited to authorized users.
000924931 520__ $$aThis book constitutes the thoroughly refereed post-workshop proceedings of the 10th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 42 revised full workshop papers were carefully reviewed and selected from 76 submissions. The topics of the workshop included: cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, statistical modelling of cardiac function across different patient populations, cardiac computational physiology, model customization, atlas based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods.
000924931 650_0 $$aHeart$$xImaging$$vCongresses.
000924931 650_0 $$aImaging systems in medicine$$vCongresses.
000924931 650_0 $$aThree-dimensional imaging in medicine$$vCongresses.
000924931 650_0 $$aHeart$$xComputer simulation$$vCongresses.
000924931 650_0 $$aImage processing$$xDigital techniques$$vCongresses.
000924931 7001_ $$aPop, Mihaela$$c(Scientist)
000924931 7001_ $$aSermesant, Maxime.
000924931 7001_ $$aCamara, Oscar$$q(Oscar Camara Rey)
000924931 7001_ $$aZhuang, Xiahai.
000924931 7001_ $$aLi, Shuo,$$d1974-
000924931 7001_ $$aYoung, Alistair.
000924931 7001_ $$aMansi, Tommaso.
000924931 7001_ $$aSuinesiaputra, Avan.
000924931 7112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(22nd :$$d2019 :$$cShenzhen Shi, China)
000924931 830_0 $$aLecture notes in computer science ;$$v12009.
000924931 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
000924931 852__ $$bebk
000924931 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-39074-7$$zOnline Access$$91397441.1
000924931 909CO $$ooai:library.usi.edu:924931$$pGLOBAL_SET
000924931 980__ $$aEBOOK
000924931 980__ $$aBIB
000924931 982__ $$aEbook
000924931 983__ $$aOnline
000924931 994__ $$a92$$bISE