{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T17:54:52Z","timestamp":1790531692154,"version":"4.1.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T00:00:00Z","timestamp":1648425600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T00:00:00Z","timestamp":1648425600000},"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":[[2022,3,28]]},"DOI":"10.1109\/isbi52829.2022.9761583","type":"proceedings-article","created":{"date-parts":[[2022,4,26]],"date-time":"2022-04-26T15:39:34Z","timestamp":1650987574000},"page":"1-5","source":"Crossref","is-referenced-by-count":7,"title":["MC-PDNet: Deep Unrolled Neural Network For Multi-Contrast Mr Image Reconstruction From Undersampled K-Space Data"],"prefix":"10.1109","author":[{"given":"Kumari","family":"Pooja","sequence":"first","affiliation":[{"name":"CEA, Joliot, NeuroSpin, Universit&#x00E9; Paris-Saclay,Gif-sur-Yvette,France,F-91191"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zaccharie","family":"Ramzi","sequence":"additional","affiliation":[{"name":"CEA, Joliot, NeuroSpin, Universit&#x00E9; Paris-Saclay,Gif-sur-Yvette,France,F-91191"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G.R.","family":"Chaithya","sequence":"additional","affiliation":[{"name":"CEA, Joliot, NeuroSpin, Universit&#x00E9; Paris-Saclay,Gif-sur-Yvette,France,F-91191"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philippe","family":"Ciuciu","sequence":"additional","affiliation":[{"name":"CEA, Joliot, NeuroSpin, Universit&#x00E9; Paris-Saclay,Gif-sur-Yvette,France,F-91191"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.26977"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2760978"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2018.2821699"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/app10051816"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.28219"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2925288"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2799231"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32248-9_3"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3075856"},{"key":"ref19","article-title":"NC-PDNet: a density-compensated unrolled network for 2D and 3D non-Cartesian MRI reconstruction","author":"ramzi","year":"2021"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-018-0251-y"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2017.07.009"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1111\/j.1541-0420.2007.00843.x"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2012.02.025"},{"key":"ref8","first-page":"10","article-title":"Deep ADMM-net for compressive sensing MRI","author":"yang","year":"2016","journal-title":"Neural Information Processing Systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759393"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2014.08.025"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/nature25988"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.21391"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10957-012-0245-9"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-010-0251-1"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2010.2090538"},{"key":"ref24","article-title":"An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI Challenge","author":"pezzotti","year":"2019"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6420\/aa9581"},{"key":"ref26","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref25","article-title":"fastmri: An open dataset and benchmarks for accelerated mri","author":"zbontar","year":"2018"}],"event":{"name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","location":"Kolkata, India","start":{"date-parts":[[2022,3,28]]},"end":{"date-parts":[[2022,3,31]]}},"container-title":["2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9761376\/9761399\/09761583.pdf?arnumber=9761583","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T17:06:26Z","timestamp":1656349586000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9761583\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,28]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/isbi52829.2022.9761583","relation":{},"subject":[],"published":{"date-parts":[[2022,3,28]]}}}