{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T02:07:47Z","timestamp":1784945267099,"version":"3.55.0"},"reference-count":26,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1109\/globalsip.2018.8646669","type":"proceedings-article","created":{"date-parts":[[2019,3,18]],"date-time":"2019-03-18T20:33:06Z","timestamp":1552941186000},"page":"1-5","source":"Crossref","is-referenced-by-count":22,"title":["DEEP BACK PROJECTION FOR SPARSE-VIEW CT RECONSTRUCTION"],"prefix":"10.1109","author":[{"given":"Dong Hye","family":"Ye","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gregery T.","family":"Buzzard","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Max","family":"Ruby","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charles A.","family":"Bouman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461408"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1007\/11774938_31","article-title":"A Neural Network Approach to Real-Time Discrete Tomography","author":"batenburg","year":"2006","journal-title":"International Workshop on Combinatorial Image Analysis"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/57\/10\/3065"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2713099"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2739299"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2832656"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2823768"},{"key":"ref17","article-title":"Deep Learning-Guided Image Reconstruction from Incomplete Data","author":"kelly","year":"2017","journal-title":"Neural Inform Proc Syst"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2715284"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2760978"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2015.2461492"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2282370"},{"key":"ref6","doi-asserted-by":"crossref","DOI":"10.2352\/ISSN.2470-1173.2018.10.IMAWM-466","article-title":"Deep Learning for Moving Object Detection from a Single Camera in UAVs","author":"ye","year":"2018","journal-title":"IS&T International Symposium on Electronic Imaging"},{"key":"ref5","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":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2624938"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2662206"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1118\/1.2789499"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2823756"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/53\/17\/021"},{"key":"ref20","article-title":"Learned Primal-dual Reconstruction","author":"adler","year":"2017","journal-title":"arXiv preprint arXiv 1707 07816"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1007\/978-3-319-46726-9_50","article-title":"Deep learning computed tomography","author":"w\u00fcrfl","year":"2016","journal-title":"Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016"},{"key":"ref21","article-title":"ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI","author":"yang","year":"2017","journal-title":"ArXiv e-prints"},{"key":"ref24","first-page":"807","article-title":"Rectied linear units improve restricted boltzmann machines","author":"nair","year":"2010","journal-title":"Proc IEEE Int Conf Mach Learn (ICML)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref26","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"International Conference on Learning Representations"},{"key":"ref25","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioe","year":"2015","journal-title":"Proc IEEE Int Conf Mach Learn (ICML)"}],"event":{"name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","location":"Anaheim, CA, USA","start":{"date-parts":[[2018,11,26]]},"end":{"date-parts":[[2018,11,29]]}},"container-title":["2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8637665\/8645964\/08646669.pdf?arnumber=8646669","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T05:22:22Z","timestamp":1598246542000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8646669\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/globalsip.2018.8646669","relation":{},"subject":[],"published":{"date-parts":[[2018,11]]}}}