{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:01:18Z","timestamp":1760122878507,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"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":[[2019,9]]},"DOI":"10.1109\/icip.2019.8803033","type":"proceedings-article","created":{"date-parts":[[2019,8,26]],"date-time":"2019-08-26T19:32:48Z","timestamp":1566847968000},"page":"1470-1474","source":"Crossref","is-referenced-by-count":13,"title":["Brain Tissue Segmentation based on Graph Convolutional Networks"],"prefix":"10.1109","author":[{"given":"Zhang","family":"Yan","sequence":"first","affiliation":[]},{"given":"Kong","family":"Youyong","sequence":"additional","affiliation":[]},{"given":"Wu","family":"Jiasong","sequence":"additional","affiliation":[]},{"given":"Gouenou","family":"Coatrieux","sequence":"additional","affiliation":[]},{"given":"Shu","family":"Huazhong","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2816582"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.05.007"},{"key":"ref13","article-title":"Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning","author":"li","year":"2018","journal-title":"arXiv Prepr arXiv1801 07606"},{"key":"ref14","article-title":"Deep Learning on Graphs: A Survey","author":"zhang","year":"2018","journal-title":"arXiv Prepr arXiv1812 04202"},{"key":"ref15","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016","journal-title":"ArXiv Prepr ArXiv160908520"},{"key":"ref16","article-title":"Brainweb: Online interface to a 3D MRI simulated brain database","author":"cocosco","year":"1997","journal-title":"NeuroImage"},{"key":"ref17","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv Prepr arXiv1412 6980"},{"key":"ref18","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.09.015"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12511"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10581-9_31"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2603190"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cogsys.2018.04.004"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-018-0252-x"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2300823"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/42.906424"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.bioeng.2.1.315"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/91.227387"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2005.02.018"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2014.2364612"}],"event":{"name":"2019 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2019,9,22]]},"location":"Taipei, Taiwan","end":{"date-parts":[[2019,9,25]]}},"container-title":["2019 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8791230\/8799366\/08803033.pdf?arnumber=8803033","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T15:32:16Z","timestamp":1658158336000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8803033\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icip.2019.8803033","relation":{},"subject":[],"published":{"date-parts":[[2019,9]]}}}