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, 2019, Revised Selected Papers (Record no. 85480)

MARC details
000 -LEADER
fixed length control field 00904nam a2200133Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 2212144s2020 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030390747
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Mihaela Pop, Maxime Sermesant, Oscar Camara, Xiahai Zhuang, Shuo Li, Alistair Young, Tommaso Mansi, Avan Suinesiaputra.
245 ## - TITLE STATEMENT
Title 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, 2019, Revised Selected Papers
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Cham
Name of publisher, distributor, etc. Springer
Date of publication, distribution, etc. 2020
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Optical data processing. Artificial intelligence. Pattern recognition. Application software. Image Processing and Computer Vision. Artificial Intelligence. Pattern Recognition. Computer Applications.
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-39074-7">https://doi.org/10.1007/978-3-030-39074-7</a>
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