{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T21:15:32Z","timestamp":1773695732649,"version":"3.50.1"},"reference-count":15,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/embc.2018.8512328","type":"proceedings-article","created":{"date-parts":[[2018,11,16]],"date-time":"2018-11-16T04:03:08Z","timestamp":1542340988000},"page":"608-611","source":"Crossref","is-referenced-by-count":53,"title":["Coronary Artery Segmentation by Deep Learning Neural Networks on Computed Tomographic Coronary Angiographic Images"],"prefix":"10.1109","author":[{"given":"Weimin","family":"Huang","sequence":"first","affiliation":[]},{"given":"Lu","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Zhiping","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Su","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Yanling","family":"Chi","sequence":"additional","affiliation":[]},{"given":"Jiayin","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Junmei","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Ru-San","family":"Tan","sequence":"additional","affiliation":[]},{"given":"Liang","family":"Zhong","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.10.004"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10554-013-0271-1"},{"key":"ref12","first-page":"66","article-title":"Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images","author":"yu","year":"0","journal-title":"AAAI&#x2019;17"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2013.05.007"},{"key":"ref14","article-title":"Connected component and morphology based extraction of arterial centerlines of the heart (CocomoBeach)","author":"kitslaar","year":"2008","journal-title":"MICCAI Workshop S4"},{"key":"ref15","article-title":"Accurate stenosis detection and quantification","author":"mohr","year":"2012","journal-title":"coronary CTA &#x201D; Proc of MICCAI Workshop on 3D Cardiovascular Imaging a MICCAI segmentation Challenge"},{"key":"ref4","first-page":"1993","article-title":"The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)","author":"menze","year":"2014","journal-title":"IEEE Transaction on Medical Imaging"},{"key":"ref3","first-page":"234","article-title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","volume":"9351","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention (MICCAI)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CIAPP.2017.8167234"},{"key":"ref5","doi-asserted-by":"crossref","DOI":"10.1109\/3DV.2016.79","article-title":"V-net: Fully convolutional neural networks for volumetric medical image segmentation","author":"milletari","year":"2016"},{"key":"ref8","article-title":"An automatic deep learning approach for coronary artery calcium segmentation","author":"santini","year":"2017"},{"key":"ref7","first-page":"478","article-title":"Deep learning for multi-task medical image segmentation in multiple modalities","author":"moeskops","year":"0","journal-title":"MICCAI 2016 Part II"},{"key":"ref2","first-page":"287","article-title":"Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets","author":"yu","year":"2017","journal-title":"MICCAI 2017"},{"key":"ref1","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"0","journal-title":"ECCV 2014"},{"key":"ref9","author":"kjerland","year":"2017","journal-title":"Segmentation of Coronary Arteries from CT-scans of the heart using Deep Learning"}],"event":{"name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","location":"Honolulu, HI","start":{"date-parts":[[2018,7,18]]},"end":{"date-parts":[[2018,7,21]]}},"container-title":["2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)"],"original-title":[],"link":[{"URL":"https:\/\/linproxy.fan.workers.dev:443\/http\/xplorestaging.ieee.org\/ielx7\/8471725\/8512178\/08512328.pdf?arnumber=8512328","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T03:36:33Z","timestamp":1598240193000},"score":1,"resource":{"primary":{"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/ieeexplore.ieee.org\/document\/8512328\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":15,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.1109\/embc.2018.8512328","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}