{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T08:58:53Z","timestamp":1768553933412,"version":"3.49.0"},"reference-count":12,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"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":[[2019,4]]},"DOI":"10.1109\/isbi.2019.8759569","type":"proceedings-article","created":{"date-parts":[[2019,7,11]],"date-time":"2019-07-11T23:58:34Z","timestamp":1562889514000},"page":"768-771","source":"Crossref","is-referenced-by-count":48,"title":["Cerebrovascular Network Segmentation of MRA Images With Deep Learning"],"prefix":"10.1109","author":[{"given":"Pedro","family":"Sanchesa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cyril","family":"Meyer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vincent","family":"Vigon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benoit","family":"Naegel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref4","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning","author":"szegedy","year":"2016","journal-title":"ICLR Workshop 2016"},{"key":"ref3","first-page":"424","article-title":"3d u-net: Learning dense volumetric segmentation from sparse annotation","author":"\u00e7i\u00e7ek","year":"2016","journal-title":"MICCAI 2016"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/42.993126"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2546227"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9779-1_6"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2013.6556698"},{"key":"ref8","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","volume":"9351 of lncs","author":"ronneberger","year":"2015","journal-title":"MICCAI"},{"key":"ref7","article-title":"Deepvesselnet: Vessel segmentation, centerline prediction, and bifurcation detection in 3-d angiographic volumes","volume":"abs 1803 9340","author":"tetteh","year":"2018","journal-title":"CoRR"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3414\/ME13-02-0001"}],"event":{"name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)","location":"Venice, Italy","start":{"date-parts":[[2019,4,8]]},"end":{"date-parts":[[2019,4,11]]}},"container-title":["2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8754684\/8759097\/08759569.pdf?arnumber=8759569","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:51:41Z","timestamp":1658094701000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8759569\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4]]},"references-count":12,"URL":"https:\/\/doi.org\/10.1109\/isbi.2019.8759569","relation":{},"subject":[],"published":{"date-parts":[[2019,4]]}}}