{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,24]],"date-time":"2025-08-24T01:47:01Z","timestamp":1756000021676,"version":"3.28.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"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":[[2020,4]]},"DOI":"10.1109\/isbi45749.2020.9098684","type":"proceedings-article","created":{"date-parts":[[2020,5,22]],"date-time":"2020-05-22T21:12:08Z","timestamp":1590181928000},"page":"1056-1059","source":"Crossref","is-referenced-by-count":8,"title":["Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging"],"prefix":"10.1109","author":[{"given":"Ukash","family":"Nakarmi","sequence":"first","affiliation":[]},{"given":"Joseph Y.","family":"Cheng","sequence":"additional","affiliation":[]},{"given":"Edgar P.","family":"Rios","sequence":"additional","affiliation":[]},{"given":"Morteza","family":"Mardani","sequence":"additional","affiliation":[]},{"given":"John M.","family":"Pauly","sequence":"additional","affiliation":[]},{"given":"Leslie","family":"Ying","sequence":"additional","affiliation":[]},{"given":"Shreyas S.","family":"Vasanawala","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363789"},{"key":"ref11","article-title":"Neural multigrid","volume":"abs 1611 7661","author":"ke","year":"2016","journal-title":"CoRR"},{"key":"ref12","article-title":"Deep residual learning for image recognition","volume":"abs 1512 3385","author":"he","year":"2015","journal-title":"CoRR"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2016.7493320"},{"key":"ref14","article-title":"Unrolled optimization with deep priors","volume":"abs 1705 8041","author":"diamond","year":"2017","journal-title":"CoRR"},{"key":"ref15","article-title":"Highly scalable image reconstruction using deep neural networks with bandpass filtering","volume":"abs 1805 3300","author":"cheng","year":"2018","journal-title":"CoRR"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2713099"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.26977"},{"key":"ref18","article-title":"Compressed sensing MRI reconstruction with cyclic loss in generative adversarial networks","volume":"abs 1709 753","author":"quan","year":"2017","journal-title":"CoRR"},{"key":"ref19","article-title":"Deep generative adversarial networks for compressed sensing automates MRI","volume":"abs 1706 51","author":"mardani","year":"2017","journal-title":"CoRR"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2010.2090538"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.24267"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.24731"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2509245"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2017.7950458"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2016.7493319"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"1182","DOI":"10.1002\/mrm.21391","article-title":"Sparse MRI: The application of compressed sensing for rapid MR imaging","volume":"58","author":"lustig","year":"2007","journal-title":"Magnetic Resonance in Medicine"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2723871"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/42.363100"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27706"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00135"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00353"},{"key":"ref24","article-title":"An iterative thresholding algorithm for linear inverse problems with a sparsity constraint","author":"daubechies","year":"2003","journal-title":"CoRR"},{"key":"ref23","article-title":"Effect of cnn layers on mr image reconstruction with deep learning","author":"li","year":"0","journal-title":"ISMRM workshop on machine learning"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1137\/080716542"}],"event":{"name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","start":{"date-parts":[[2020,4,3]]},"location":"Iowa City, IA, USA","end":{"date-parts":[[2020,4,7]]}},"container-title":["2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9091448\/9098313\/09098684.pdf?arnumber=9098684","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:57:29Z","timestamp":1656453449000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9098684\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/isbi45749.2020.9098684","relation":{},"subject":[],"published":{"date-parts":[[2020,4]]}}}