LEADER 04700nam 22006975 450 001 996466443503316 005 20200704230139.0 010 $a3-030-12029-5 024 7 $a10.1007/978-3-030-12029-0 035 $a(CKB)4100000007761916 035 $a(DE-He213)978-3-030-12029-0 035 $a(MiAaPQ)EBC5925215 035 $a(PPN)235231703 035 $a(EXLCZ)994100000007761916 100 $a20190213d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges$b[electronic resource] $e9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers /$fedited by Mihaela Pop, Maxime Sermesant, Jichao Zhao, Shuo Li, Kristin McLeod, Alistair Young, Kawal Rhode, Tommaso Mansi 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XIV, 487 p. 216 illus., 192 illus. in color.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11395 311 $a3-030-12028-7 327 $aCardiac 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 -- Pre-clinical and clinical applicability of these methods. 330 $aThis book constitutes the thoroughly refereed post-workshop proceedings of the 9th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 52 revised full workshop papers were carefully reviewed and selected from 60 submissions. The topics of the workshop included: cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, statistical modelling of cardiac function across different patient populations, cardiac computational physiology, model customization, atlas based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11395 606 $aOptical data processing 606 $aArtificial intelligence 606 $aComputer communication systems 606 $aData mining 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 615 0$aOptical data processing. 615 0$aArtificial intelligence. 615 0$aComputer communication systems. 615 0$aData mining. 615 14$aImage Processing and Computer Vision. 615 24$aArtificial Intelligence. 615 24$aComputer Communication Networks. 615 24$aData Mining and Knowledge Discovery. 676 $a006.3 702 $aPop$b Mihaela$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSermesant$b Maxime$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhao$b Jichao$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLi$b Shuo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMcLeod$b Kristin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYoung$b Alistair$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRhode$b Kawal$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMansi$b Tommaso$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466443503316 996 $aStatistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges$92512316 997 $aUNISA