04356nam 22006975 450 991037392870332120201023203544.03-030-39074-810.1007/978-3-030-39074-7(CKB)4100000010121590(DE-He213)978-3-030-39074-7(MiAaPQ)EBC6112676(PPN)242844960(EXLCZ)99410000001012159020200122d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierStatistical Atlases and Computational Models of the Heart. Multi-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 /edited by Mihaela Pop, Maxime Sermesant, Oscar Camara, Xiahai Zhuang, Shuo Li, Alistair Young, Tommaso Mansi, Avan Suinesiaputra1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (XV, 417 p. 200 illus., 168 illus. in color.) Image Processing, Computer Vision, Pattern Recognition, and Graphics ;120093-030-39073-X Regular Papers -- Multi-Sequence CMR Segmentation Challenge -- CRT-EPiggy Challenge -- LV Full Quantification Challenge.This 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.Image Processing, Computer Vision, Pattern Recognition, and Graphics ;12009Optical data processingArtificial intelligencePattern recognitionApplication softwareImage Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XComputer Applicationshttps://scigraph.springernature.com/ontologies/product-market-codes/I23001Optical data processing.Artificial intelligence.Pattern recognition.Application software.Image Processing and Computer Vision.Artificial Intelligence.Pattern Recognition.Computer Applications.611.12Pop Mihaelaedthttp://id.loc.gov/vocabulary/relators/edtSermesant Maximeedthttp://id.loc.gov/vocabulary/relators/edtCamara Oscaredthttp://id.loc.gov/vocabulary/relators/edtZhuang Xiahaiedthttp://id.loc.gov/vocabulary/relators/edtLi Shuoedthttp://id.loc.gov/vocabulary/relators/edtYoung Alistairedthttp://id.loc.gov/vocabulary/relators/edtMansi Tommasoedthttp://id.loc.gov/vocabulary/relators/edtSuinesiaputra Avanedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910373928703321Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges2282123UNINA