LEADER 04157nam 22007215 450 001 9910373928703321 005 20251113181725.0 010 $a9783030390747 010 $a3030390748 024 7 $a10.1007/978-3-030-39074-7 035 $a(CKB)4100000010121590 035 $a(DE-He213)978-3-030-39074-7 035 $a(MiAaPQ)EBC6112676 035 $a(PPN)242844960 035 $a(EXLCZ)994100000010121590 100 $a20200122d2020 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. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges $e10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers /$fedited by Mihaela Pop, Maxime Sermesant, Oscar Camara, Xiahai Zhuang, Shuo Li, Alistair Young, Tommaso Mansi, Avan Suinesiaputra 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XV, 417 p. 200 illus., 168 illus. in color.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v12009 311 08$a9783030390730 311 08$a303039073X 327 $aRegular Papers -- Multi-Sequence CMR Segmentation Challenge -- CRT-EPiggy Challenge -- LV Full Quantification Challenge. 330 $aThis book constitutes the thoroughly refereed post-workshop proceedings of the 10th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 42 revised full workshop papers were carefully reviewed and selected from 76 submissions. The topics of the workshop included: cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, statistical modelling of cardiac function across different patient populations, cardiac computational physiology, model customization, atlas based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v12009 606 $aComputer vision 606 $aArtificial intelligence 606 $aPattern recognition systems 606 $aApplication software 606 $aComputer Vision 606 $aArtificial Intelligence 606 $aAutomated Pattern Recognition 606 $aComputer and Information Systems Applications 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aPattern recognition systems. 615 0$aApplication software. 615 14$aComputer Vision. 615 24$aArtificial Intelligence. 615 24$aAutomated Pattern Recognition. 615 24$aComputer and Information Systems Applications. 676 $a611.12 702 $aPop$b Mihaela$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSermesant$b Maxime$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCamara$b Oscar$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhuang$b Xiahai$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLi$b Shuo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYoung$b Alistair$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMansi$b Tommaso$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSuinesiaputra$b Avan$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910373928703321 996 $aStatistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges$92282123 997 $aUNINA