{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T10:27:11Z","timestamp":1772101631818,"version":"3.50.1"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,11]]},"DOI":"10.1109\/ieeeconf44664.2019.9048755","type":"proceedings-article","created":{"date-parts":[[2020,3,31]],"date-time":"2020-03-31T05:10:33Z","timestamp":1585631433000},"page":"1471-1475","source":"Crossref","is-referenced-by-count":2,"title":["Learning How to Interpolate Fourier Data With Unknown Autoregressive Structure: An Ensemble-Based Approach"],"prefix":"10.1109","author":[{"given":"Tae Hyung","family":"Kim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Justin P.","family":"Haldar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.22899"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.23279"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2015.7164018"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27420"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2864197"},{"key":"ref15","article-title":"LORAKI: Autocalibrated recurrent neural networks for autoregressive MRI reconstruction in k-space","author":"kim","year":"2019","journal-title":"Preprint"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2293974"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2019.2949570"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.22128"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.24997"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2865356"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2760978"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1088\/0266-5611\/5\/5\/011"},{"key":"ref5","article-title":"k-space deep learning for accelerated MRI","author":"han","year":"2019","journal-title":"IEEE Trans Med Imag"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.10171"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/0022-2364(89)90045-0"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.26977"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1002\/mrm.22428","article-title":"SPIRiT: Iterative self-consistent parallel imaging reconstruction from arbitrary k-space","volume":"64","author":"lustig","year":"2010","journal-title":"Magn Reson Med"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2016.7493320"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.25717"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1137\/15M1042280"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2601296"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248110"},{"key":"ref23","first-page":"959710","article-title":"Low-rank modeling of local k-space neighbor-hoods: from phase and support constraints to structured sparsity","author":"haldar","year":"2015","journal-title":"Proc SPIE 9597 Wavelets and Sparsity XVI 95971F"},{"key":"ref26","first-page":"663","article-title":"Accelerated MRI using residual RAKI: Scan-specific learning of reconstruction artifacts","author":"zhang","year":"2019","journal-title":"Proc Int Soc Magn Reson Med"},{"key":"ref25","article-title":"Adaptive multi-column deep neural networks with application to robust image denoising","author":"agostinelli","year":"2013","journal-title":"Proc NeurIPS"}],"event":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","location":"Pacific Grove, CA, USA","start":{"date-parts":[[2019,11,3]]},"end":{"date-parts":[[2019,11,6]]}},"container-title":["2019 53rd Asilomar Conference on Signals, Systems, and Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9034466\/9048648\/09048755.pdf?arnumber=9048755","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:46:34Z","timestamp":1658094394000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9048755\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/ieeeconf44664.2019.9048755","relation":{},"subject":[],"published":{"date-parts":[[2019,11]]}}}