{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T19:57:51Z","timestamp":1777665471767,"version":"3.51.4"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Alzheimer's Disease Neuroimaging Initiative"},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U01 AG024904"],"award-info":[{"award-number":["U01 AG024904"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"DOD ADNI"},{"DOI":"10.13039\/100000005","name":"U.S. Department of Defense","doi-asserted-by":"publisher","award":["W81XWH-12-2-0012"],"award-info":[{"award-number":["W81XWH-12-2-0012"]}],"id":[{"id":"10.13039\/100000005","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000070","name":"National Institute of Biomedical Imaging and Bioengineering","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000070","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2020,1]]},"DOI":"10.1109\/jbhi.2019.2912659","type":"journal-article","created":{"date-parts":[[2019,4,25]],"date-time":"2019-04-25T20:26:54Z","timestamp":1556224014000},"page":"39-49","source":"Crossref","is-referenced-by-count":63,"title":["Deep Residual Inception Encoder\u2013Decoder Network for Medical Imaging Synthesis"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5675-1899","authenticated-orcid":false,"given":"Fei","family":"Gao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0529-7048","authenticated-orcid":false,"given":"Teresa","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6290-4003","authenticated-orcid":false,"given":"Xianghua","family":"Chu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6371-7055","authenticated-orcid":false,"given":"Hyunsoo","family":"Yoon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6221-8676","authenticated-orcid":false,"given":"Yanzhe","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bhavika","family":"Patel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref38","first-page":"12","article-title":"Inception-v4, inception-ResNet and the impact of residual connections on learning","volume":"4","author":"szegedy","year":"0","journal-title":"Proc 31st AAAI Conf Artif Intell"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref31","article-title":"Going deeper with convolutions","author":"szegedy","year":"2014"},{"key":"ref30","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2613019"},{"key":"ref36","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":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-30081-8_35"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.178"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1016\/j.neucom.2018.09.013","article-title":"GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification","volume":"321","author":"greenspan","year":"2018","journal-title":"Neurocomputing"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12155"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299173"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/42.538937"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2553401"},{"key":"ref20","first-page":"720","article-title":"Joint craniomaxillofacial bone segmentation and landmark digitization by context-guided fully convolutional networks","volume":"3","author":"shen","year":"0","journal-title":"Proc Int Conf Med Image Comput Comput -Assisted Intervention"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref21","first-page":"424","article-title":"3D U-Net: Learning dense volumetric segmentation from sparse annotation","author":"\u00e7i\u00e7ek","year":"0","journal-title":"Proc Int Conf Med Image Comput Comput -Assisted Intervention"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2018.09.004"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2715284"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.01.006"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.2217\/WHE.14.61"},{"key":"ref51","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2015.04.005"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(14)70090-0"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2525803"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2014.12.061"},{"key":"ref40","article-title":"Inception recurrent convolutional neural network for object recognition","author":"alom","year":"2017"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.10.002"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.05.004"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1117\/12.2292872"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10443-0_39"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.08.004"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinimag.2017.07.001"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0177544"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.3.3.034501"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1111\/exd.13777"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"1207","DOI":"10.1109\/TMI.2016.2535865","article-title":"Lung pattern classification for interstitial lung diseases using a deep convolutional neural network","volume":"35","author":"microbiana","year":"2016","journal-title":"IEEE Trans Med Imag"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2482920"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2015.08.001"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.3348\/kjr.2014.15.6.689"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2528129"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2014.05.015"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1001\/jama.292.11.1317"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-014-3271-1"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-013-3007-7"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2015.04.005"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1001\/jama.293.10.1245"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12155"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/8949677\/08695110.pdf?arnumber=8695110","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:20:05Z","timestamp":1651080005000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8695110\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1]]},"references-count":53,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2019.2912659","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1]]}}}