{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:06:18Z","timestamp":1740099978404,"version":"3.37.3"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001407","name":"Infrastructure Facility for Advanced Research and Education in Diagnostics grant by Department of Biotechnology, Government of India","doi-asserted-by":"publisher","award":["BT\/INF\/22\/SP23026\/2017"],"award-info":[{"award-number":["BT\/INF\/22\/SP23026\/2017"]}],"id":[{"id":"10.13039\/501100001407","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,1,10]]},"DOI":"10.1109\/icpr48806.2021.9411966","type":"proceedings-article","created":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T02:15:54Z","timestamp":1620267354000},"page":"8492-8499","source":"Crossref","is-referenced-by-count":0,"title":["A Bayesian Deep CNN Framework for Reconstructing k-t-Undersampled Resting-fMRI"],"prefix":"10.1109","author":[{"given":"Karan","family":"Taneja","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Prachi H.","family":"Kulkarni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S. N.","family":"Merchant","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suyash P.","family":"Awate","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0077089"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.05.041"},{"key":"ref31","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Int Conf Learning Representations"},{"key":"ref30","article-title":"4D modeling of fMRI data via spatio-temporal convolutional neural networks (ST-CNN)","author":"zhao","year":"2019","journal-title":"IEEE Trans Cognitive and Developmental Systems"},{"key":"ref37","first-page":"5574","article-title":"What uncertainties do we need in Bayesian deep learning for computer vision?","author":"kendall","year":"2017","journal-title":"Adv Neural Info Proc Systems"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.20939"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.1910160203"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1522-2594(199911)42:5<952::AID-MRM16>3.0.CO;2-S"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.25395"},{"key":"ref11","article-title":"k-t SPARSE: High frame rate dynamic MRI exploiting spatio-temporal sparsity","author":"lustig","year":"2006","journal-title":"ISMRM"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10334-014-0436-5"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.26079"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.26390"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363579"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101752"},{"key":"ref17","first-page":"10","article-title":"Deep ADMM-Net for compressive sensing MRI","author":"yang","year":"2016","journal-title":"Adv Neural Info Proc Systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2016.7493320"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2760978"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32695-1_11"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A3263"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27420"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2014.06.001"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.25854"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2019.06.003"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1089\/brain.2013.0195"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2014.10.027"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.22361"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0905267106"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI45749.2020.9098450"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.1910340409"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/aac71a"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2865356"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.1038\/nature25988","article-title":"Image reconstruction by domain transform manifold learning","author":"zhu","year":"2018","journal-title":"Nature"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2946501"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2019.2950640"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0223315"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00129-2_8"}],"event":{"name":"2020 25th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2021,1,10]]},"location":"Milan, Italy","end":{"date-parts":[[2021,1,15]]}},"container-title":["2020 25th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9411940\/9411911\/09411966.pdf?arnumber=9411966","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:40:40Z","timestamp":1652197240000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9411966\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,10]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/icpr48806.2021.9411966","relation":{},"subject":[],"published":{"date-parts":[[2021,1,10]]}}}