{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T02:41:01Z","timestamp":1773456061359,"version":"3.50.1"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","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":[{"DOI":"10.13039\/501100001843","name":"Science and Engineering Research Board","doi-asserted-by":"publisher","award":["ECR\/2018\/001953"],"award-info":[{"award-number":["ECR\/2018\/001953"]}],"id":[{"id":"10.13039\/501100001843","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001413","name":"Indian Space Research Organisation","doi-asserted-by":"crossref","award":["(Space Applications Centre) ECO-13"],"award-info":[{"award-number":["(Space Applications Centre) ECO-13"]}],"id":[{"id":"10.13039\/501100001413","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput. Imaging"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/tci.2019.2915580","type":"journal-article","created":{"date-parts":[[2019,5,8]],"date-time":"2019-05-08T20:00:26Z","timestamp":1557345626000},"page":"46-56","source":"Crossref","is-referenced-by-count":133,"title":["Embedding Deep Learning in Inverse Scattering Problems"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7384-3573","authenticated-orcid":false,"given":"Yash","family":"Sanghvi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3007-3150","authenticated-orcid":false,"given":"Yaswanth","family":"Kalepu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9629-3922","authenticated-orcid":false,"given":"Uday K.","family":"Khankhoje","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1088\/0266-5611\/27\/10\/105007"},{"key":"ref33","first-page":"10","article-title":"Deep ADMM-net for compressive sensing MRI","author":"sun","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.300"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.627"},{"key":"ref30","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"0","journal-title":"Proc Int Conf Med Image Comput Comput Assisted Intervention"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/JMMCT.2018.2878483"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/PIERS-FALL.2017.8293370"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.1965.1138427"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952561"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1088\/0266-5611\/25\/8\/085003"},{"key":"ref40","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc 3rd Int Conf Learn Represent"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.2010.2103027"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.2016.2535492"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.28.002057"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/75.481854"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/36.851974"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref17","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/APUSNCURSINRSM.2017.8072467"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.2016.2529641"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2004.839648"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1049\/iet-map.2013.0054"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1088\/0266-5611\/13\/6\/013"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2869221"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/42.56334"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1088\/0266-5611\/29\/2\/025015"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.2528\/PIER01061103"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.2014.2344673"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2009.2025122"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/ima.1850010111"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1088\/0266-5611\/21\/6\/S01"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2003.810928"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2760358"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/36.752198"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1029\/92JB02324"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IST.2009.5071620"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1088\/0266-5611\/17\/6\/301"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1002\/mop.20186","article-title":"A wavelet-based radial-basis function neural network approach to the inverse scattering of conducting cylinders","volume":"41","author":"a??k","year":"2004","journal-title":"Microw Opt Technol Lett"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3182\/20120711-3-BE-2027.00310"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/20.996272"}],"container-title":["IEEE Transactions on Computational Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6745852\/8977810\/08709721.pdf?arnumber=8709721","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:32:21Z","timestamp":1651080741000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8709721\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/tci.2019.2915580","relation":{},"ISSN":["2333-9403","2334-0118","2573-0436"],"issn-type":[{"value":"2333-9403","type":"electronic"},{"value":"2334-0118","type":"electronic"},{"value":"2573-0436","type":"print"}],"subject":[],"published":{"date-parts":[[2020]]}}}