{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,18]],"date-time":"2025-10-18T15:09:45Z","timestamp":1760800185842,"version":"3.28.0"},"reference-count":29,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1109\/globalsip.2018.8646704","type":"proceedings-article","created":{"date-parts":[[2019,3,18]],"date-time":"2019-03-18T20:33:06Z","timestamp":1552941186000},"page":"6-10","source":"Crossref","is-referenced-by-count":8,"title":["DEEP NEURAL NETWORKS FOR NON-LINEAR MODEL-BASED ULTRASOUND RECONSTRUCTION"],"prefix":"10.1109","author":[{"given":"H.","family":"Almansouri","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.V.","family":"Venkatakrishnan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G.T.","family":"Buzzard","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C.A.","family":"Bouman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"H.","family":"Santos-Villalobos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27106"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2016.7493320"},{"key":"ref12","article-title":"Deep learning for photoacoustic tomography from sparse data","author":"antholzer","year":"2017","journal-title":"arXiv preprint arXiv 1704 04587"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2820382"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952561"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1364\/OE.26.014678"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2013.6737048"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2599778"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.300"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2832656"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1680\/aric.13179"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1063\/1.4864801"},{"journal-title":"Structure and Performance of Cements","year":"2014","author":"barnes","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1063\/1.3610459"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1063\/1.5031525"},{"article-title":"Automatic differentiation in pytorch","year":"2017","author":"paszke","key":"ref29"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.ndteint.2013.04.002","article-title":"The feasibility of synthetic aperture guided wave imaging to a mobile sensor platform","volume":"58","author":"dobie","year":"2013","journal-title":"NDT and E International"},{"key":"ref8","article-title":"Deep residual learning approach for sparse-view CT reconstruction","author":"han","year":"2017","journal-title":"In Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2739299"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/aa7e5a"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2713099"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ndteint.2015.05.001"},{"key":"ref20","first-page":"5888","article-title":"One network to solve them all&#x2013;solving linear inverse problems using deep projection models","author":"rick chang","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.198"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2799231"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1118\/1.2789499"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1117\/1.3360308"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1063\/1.3610459"},{"key":"ref25","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"}],"event":{"name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","start":{"date-parts":[[2018,11,26]]},"location":"Anaheim, CA, USA","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\/08646704.pdf?arnumber=8646704","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T05:23:02Z","timestamp":1598246582000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8646704\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/globalsip.2018.8646704","relation":{},"subject":[],"published":{"date-parts":[[2018,11]]}}}