{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T02:30:55Z","timestamp":1772159455760,"version":"3.50.1"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"European Structural and Investment Fund","award":["ZS\/2016\/08\/80646"],"award-info":[{"award-number":["ZS\/2016\/08\/80646"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3427674","type":"journal-article","created":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T14:23:17Z","timestamp":1721053397000},"page":"99122-99136","source":"Crossref","is-referenced-by-count":4,"title":["DDoS-UNet: Incorporating Temporal Information Using Dynamic Dual-Channel UNet for Enhancing Super-Resolution of Dynamic MRI"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7594-1188","authenticated-orcid":false,"given":"Soumick","family":"Chatterjee","sequence":"first","affiliation":[{"name":"Data and Knowledge Engineering Group, Faculty of Computer Science, Otto von Guericke University Magdeburg, Magdeburg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4760-2263","authenticated-orcid":false,"given":"Chompunuch","family":"Sarasaen","sequence":"additional","affiliation":[{"name":"Biomedical Magnetic Resonance, Otto von Guericke University Magdeburg, Magdeburg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2215-150X","authenticated-orcid":false,"given":"Georg","family":"Rose","sequence":"additional","affiliation":[{"name":"Research Campus STIMULATE, Otto von Guericke University Magdeburg, Magdeburg, Germany"}]},{"given":"Andreas","family":"N\u00fcrnberger","sequence":"additional","affiliation":[{"name":"Data and Knowledge Engineering Group, Faculty of Computer Science, Otto von Guericke University Magdeburg, Magdeburg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6019-5597","authenticated-orcid":false,"given":"Oliver","family":"Speck","sequence":"additional","affiliation":[{"name":"Biomedical Magnetic Resonance, Otto von Guericke University Magdeburg, Magdeburg, Germany"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1055\/s-0043-110011"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-540-73085-9","volume-title":"CT-and MR-Guided Interventions in Radiology","volume":"22","author":"Mahnken","year":"2009"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/b978-0-12-092861-3.x5000-6"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1984.12998"},{"key":"ref5","article-title":"kt SPARSE: High frame rate dynamic mri exploiting spatio-temporal sparsity","volume-title":"Proc. 13th Annu. Meeting (ISMRM)","volume":"2420","author":"Lustig"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.21391"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.21757"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.21987"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2018.06.010"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1117\/12.2549604"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-19282-1_11"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.304"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2895768"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6420\/aac3af"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2930318"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-70551-8"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2004.827230"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2042115"},{"key":"ref22","first-page":"1","article-title":"Retrospective motion correction of MR images using prior-assisted deep learning","volume-title":"Proc. Med. Imag. Meets (NeurIPS)","author":"Chatterjee"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7177943"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11179-7_51"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461639"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2016.2580946"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682947"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015525"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2021.102196"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_49"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref34","article-title":"Attention U-Net: Learning where to look for the pancreas","author":"Oktay","year":"2018","journal-title":"arXiv:1804.03999"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging8100259"},{"key":"ref36","first-page":"23","article-title":"Singing voice separation with deep u-net convolutional networks","volume-title":"Proc. 18th Int. Soc. Music Inf. Retr. Conf.","author":"Jansson"},{"key":"ref37","article-title":"Wave-U-Net: A multi-scale neural network for end-to-end audio source separation","author":"Stoller","year":"2018","journal-title":"arXiv:1806.03185"},{"key":"ref38","article-title":"Phase-aware speech enhancement with deep complex U-Net","author":"Choi","year":"2019","journal-title":"arXiv:1903.03107"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/aac71a"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2019.01010"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2019.101647"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO54536.2021.9615963"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2701380"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2017.09.002"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00091"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TENCON58879.2023.10322331"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3367980"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1603.08155"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.21037\/qims.2019.08.10"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2982166"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.23915\/distill.00003"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101950"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2021.106236"},{"key":"ref56","volume-title":"Soumickmj\/Mrunder: Initial release","author":"Chatterjee","year":"2020"},{"key":"ref57","article-title":"ReconResNet: Regularised residual learning for MR image reconstruction of undersampled Cartesian and radial data","author":"Chatterjee","year":"2021","journal-title":"arXiv:2103.09203"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455008"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10597433.pdf?arnumber=10597433","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T13:32:55Z","timestamp":1721914375000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10597433\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":59,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3427674","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-3804141\/v1","asserted-by":"object"}]},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}