{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T11:56:07Z","timestamp":1777290967278,"version":"3.51.4"},"reference-count":12,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,1,7]],"date-time":"2022-01-07T00:00:00Z","timestamp":1641513600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,7]],"date-time":"2022-01-07T00:00:00Z","timestamp":1641513600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,1,7]]},"DOI":"10.1109\/icce53296.2022.9730469","type":"proceedings-article","created":{"date-parts":[[2022,3,15]],"date-time":"2022-03-15T15:55:19Z","timestamp":1647359719000},"page":"1-4","source":"Crossref","is-referenced-by-count":3,"title":["Automatic Segmentation of Infant Brain Ventricles with Hydrocephalus in MRI Based on Deep Multi-path Learning"],"prefix":"10.1109","author":[{"given":"Hikari","family":"Jinbo","sequence":"first","affiliation":[{"name":"College of Information Science and Engineering, Ritsumeikan University,Shiga,Japan"}]},{"given":"Yutaro","family":"Iwamoto","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Ritsumeikan University,Shiga,Japan"}]},{"given":"Masahiro","family":"Nonaka","sequence":"additional","affiliation":[{"name":"Kansai Medical University,Osaka,Japan"}]},{"given":"Yen-Wei","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Ritsumeikan University,Shiga,Japan"}]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2005.02.018"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1159\/000028730"},{"key":"ref10","article-title":"3D U-Net: learning dense volumetric segmentation from sparse annotation","author":"\u00e7i\u00e7ek","year":"2016","journal-title":"Int Conf Med Image Comput Comput Interv"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0193152"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2906890"},{"key":"ref5","article-title":"k-means++: The advantages of careful seeding","author":"arthur","year":"0","journal-title":"Proceedings of the Eighth Annual ACM- SIAM Symposium on Discrete Algorithms"},{"key":"ref12","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46976-8_12"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18178\/joig.8.2.42-46"},{"key":"ref9","first-page":"234","article-title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","author":"ronneberger","year":"0","journal-title":"Proceedings MICCAI"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3171\/2014.9.PEDS12427"}],"event":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","location":"Las Vegas, NV, USA","start":{"date-parts":[[2022,1,7]]},"end":{"date-parts":[[2022,1,9]]}},"container-title":["2022 IEEE International Conference on Consumer Electronics (ICCE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9730107\/9730121\/09730469.pdf?arnumber=9730469","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,15]],"date-time":"2022-06-15T16:16:00Z","timestamp":1655309760000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9730469\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,7]]},"references-count":12,"URL":"https:\/\/doi.org\/10.1109\/icce53296.2022.9730469","relation":{},"subject":[],"published":{"date-parts":[[2022,1,7]]}}}