{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T17:25:16Z","timestamp":1772126716517,"version":"3.50.1"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61671399"],"award-info":[{"award-number":["61671399"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2906890","type":"journal-article","created":{"date-parts":[[2019,3,26]],"date-time":"2019-03-26T22:52:40Z","timestamp":1553640760000},"page":"39670-39679","source":"Crossref","is-referenced-by-count":38,"title":["RP-Net: A 3D Convolutional Neural Network for Brain Segmentation From Magnetic Resonance Imaging"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2096-454X","authenticated-orcid":false,"given":"Liansheng","family":"Wang","sequence":"first","affiliation":[]},{"given":"Cong","family":"Xie","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6957-2942","authenticated-orcid":false,"given":"Nianyin","family":"Zeng","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","author":"chollet","year":"2015","journal-title":"Keras"},{"key":"ref38","author":"lee","year":"2014","journal-title":"Deeply-supervised nets"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref32","author":"ioffe","year":"2015","journal-title":"Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift"},{"key":"ref31","first-page":"424","article-title":"3D U-Net: Learning dense volumetric segmentation from sparse annotation","author":"\u00e7i\u00e7ek","year":"2016","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref30","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref36","first-page":"346","article-title":"Spatial pyramid pooling in deep convolutional networks for visual recognition","author":"he","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.298"},{"key":"ref34","first-page":"630","article-title":"Identity mappings in deep residual networks","author":"he","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2007.05.018"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2009.2039756"},{"key":"ref11","first-page":"379","article-title":"Brain MRI segmentation and lesions detection by em algorithm","volume":"2","author":"roua\u00efnia","year":"2008","journal-title":"International Journal of Medical Health Pharmaceutical and Biomedical Engineering"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/ima.22166"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2893063"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2807698"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2009.03.002"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-017-0845-x"},{"key":"ref17","first-page":"1","article-title":"Alcoholism identification via convolutional neural network based on parametric ReLU, dropout, and batch normalization","author":"wang","year":"2018","journal-title":"Neural Comput Appl"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2018.05.005"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2018.07.003"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1093\/schbul\/sbm120"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2011.07.007"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s12021-011-9133-y"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.23671"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2011.07.015"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2003.11.010"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2015.06.016"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.143"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.460030304"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2773359"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/450341"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nrneurol.2009.215"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2018.00818"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11554-017-0717-0"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-5765-3"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/IWSSIP.2016.7502713"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8297117"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/11866763_26"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2016.7493515"},{"key":"ref44","author":"deng","year":"2018","journal-title":"A strategy of MR brain tissue images’ suggestive annotation based on modified U-Net"},{"key":"ref26","author":"dolz","year":"2018","journal-title":"HyperDense-Net A hyper-densely connected CNN for multi-modal image segmentation"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451295"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.04.041"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08674799.pdf?arnumber=8674799","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T00:35:09Z","timestamp":1643243709000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8674799\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2906890","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}