{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,5]],"date-time":"2025-04-05T09:10:02Z","timestamp":1743844202397,"version":"3.40.3"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,27]],"date-time":"2024-10-27T00:00:00Z","timestamp":1729987200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,27]],"date-time":"2024-10-27T00:00:00Z","timestamp":1729987200000},"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":[[2024,10,27]]},"DOI":"10.1109\/ieeeconf60004.2024.10942630","type":"proceedings-article","created":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T18:20:20Z","timestamp":1743790820000},"page":"100-104","source":"Crossref","is-referenced-by-count":0,"title":["Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization"],"prefix":"10.1109","author":[{"given":"Shijun","family":"Liang","sequence":"first","affiliation":[{"name":"Michigan State University,Department of Biomedical Engineering,East Lansing,MI,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Evan","family":"Bell","sequence":"additional","affiliation":[{"name":"Michigan State University,Department of Computational Mathematics, Science &#x0026; Engineering,East Lansing,MI,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Avrajit","family":"Ghosh","sequence":"additional","affiliation":[{"name":"Michigan State University,Department of Computational Mathematics, Science &#x0026; Engineering,East Lansing,MI,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saiprasad","family":"Ravishankar","sequence":"additional","affiliation":[{"name":"Michigan State University,Department of Computational Mathematics, Science &#x0026; Engineering,East Lansing,MI,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1186\/s42490-019-0006-z"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2010.2090538"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2017.2697206"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2226449"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/OJSP.2023.3296036"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1137\/22M1506547"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2713099"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.03.013"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2016.7493320"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87231-1_30"},{"key":"ref12","article-title":"Deep ADMM-Net for compres-sive sensing MRI","volume":"29","author":"Sun","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00196"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2865356"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-88552-6_3"},{"key":"ref16","article-title":"Robustness of deep learning for accel-erated mri: Benefits of diverse training data","author":"Lin","year":"2023","journal-title":"ar Xiv preprint"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10097193"},{"key":"ref18","first-page":"4754","article-title":"Test-time training can close the natural distribution shift performance gap in deep learning based compressed sensing","volume-title":"International Conference on Machine Learning. PMLR","author":"Darestani","year":"2022"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10334-024-01173-8"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3447085"},{"key":"ref21","article-title":"Optimal eye surgeon: Finding image priors through sparse generators at initialization","volume-title":"Forty-first International Conference on Machine Learning","author":"Ghosh","year":"2024"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00984"},{"key":"ref23","article-title":"A structured pruning algorithm for model-based deep learning","author":"Gan","year":"2023","journal-title":"arXiv preprint"},{"article-title":"The concrete distribution: A continuous relaxation of discrete random variables","volume-title":"International Conference on Learning Representations","author":"Maddison","key":"ref24"},{"key":"ref25","article-title":"fastMRI: An Open Dataset and Benchmarks for Accelerated MRI","volume-title":"arXiv preprint","author":"Z","year":"2019"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-022-01255-z"},{"issue":"2486","key":"ref27","first-page":"9","article-title":"Berkeley advanced reconstruction toolbox","volume-title":"Proc. Intl. Soc. Mag. Reson. Med","volume":"23","author":"Uecker","year":"2015"},{"key":"ref28","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv preprint"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00262"}],"event":{"name":"2024 58th Asilomar Conference on Signals, Systems, and Computers","start":{"date-parts":[[2024,10,27]]},"location":"Pacific Grove, CA, USA","end":{"date-parts":[[2024,10,30]]}},"container-title":["2024 58th Asilomar Conference on Signals, Systems, and Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10942562\/10942606\/10942630.pdf?arnumber=10942630","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,5]],"date-time":"2025-04-05T08:57:07Z","timestamp":1743843427000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10942630\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,27]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/ieeeconf60004.2024.10942630","relation":{},"subject":[],"published":{"date-parts":[[2024,10,27]]}}}