Left Ventricle Quantification with Cardiac MRI: Deep Learning Meets Statistical Models of Deformation
In: Statistical 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, Jg. 12009 (2020), S. 384-394
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Zugriff:
Titel: |
Left Ventricle Quantification with Cardiac MRI: Deep Learning Meets Statistical Models of Deformation
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Autor/in / Beteiligte Person: | Corral Acero, Jorge ; Xu, Hao ; Zacur, Ernesto ; Schneider, Jurgen E. ; Lamata, Pablo ; Bueno-Orovio, Alfonso ; Grau, Vicente ; Goos, Gerhard, Founding Editor ; Hartmanis, Juris, Founding Editor ; Bertino, Elisa [Ed.]ial Board Member ; Gao, Wen [Ed.]ial Board Member ; Steffen, Bernhard [Ed.]ial Board Member ; Woeginger, Gerhard [Ed.]ial Board Member ; Yung, Moti [Ed.]ial Board Member ; Pop, Mihaela [Ed.] ; Sermesant, Maxime [Ed.] ; Camara, Oscar [Ed.] ; Zhuang, Xiahai [Ed.] ; Li, Shuo [Ed.] ; Young, Alistair [Ed.] ; Mansi, Tommaso [Ed.] ; Suinesiaputra, Avan [Ed.] |
Zeitschrift: | Statistical 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, Jg. 12009 (2020), S. 384-394 |
Veröffentlichung: | 2020 |
Medientyp: | E-Book |
ISBN: | 978-3-030-39073-0 (print) ; 978-3-030-39074-7 (print) |
DOI: | 10.1007/978-3-030-39074-7_40 |
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