{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T11:35:16Z","timestamp":1780572916189,"version":"3.54.1"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2018,6,1]],"date-time":"2018-06-01T00:00:00Z","timestamp":1527811200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/100000070","name":"National Institute of Biomedical Imaging and Bioengineering","doi-asserted-by":"publisher","award":["1R21EB021545"],"award-info":[{"award-number":["1R21EB021545"]}],"id":[{"id":"10.13039\/100000070","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["1R01CA214639-01A1"],"award-info":[{"award-number":["1R01CA214639-01A1"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["1R01CA227289-01"],"award-info":[{"award-number":["1R01CA227289-01"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2018,6]]},"DOI":"10.1109\/tmi.2018.2823679","type":"journal-article","created":{"date-parts":[[2018,4,6]],"date-time":"2018-04-06T00:49:23Z","timestamp":1522975763000},"page":"1430-1439","source":"Crossref","is-referenced-by-count":89,"title":["Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning"],"prefix":"10.1109","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6490-6555","authenticated-orcid":false,"given":"Chenyang","family":"Shen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yesenia","family":"Gonzalez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5345-0086","authenticated-orcid":false,"given":"Liyuan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steve B.","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6159-2909","authenticated-orcid":false,"given":"Xun","family":"Jia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1118\/1.595715"},{"key":"ref32","author":"bellman","year":"1964","journal-title":"Dynamic Programming A Bibliography of Theory and Application"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992698"},{"key":"ref30","doi-asserted-by":"crossref","DOI":"10.56021\/9781421407944","author":"golub","year":"2013","journal-title":"Matrix Computations"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/51\/13\/R21"},{"key":"ref35","first-page":"10","article-title":"Deep ADMM-net for compressive sensing MRI","author":"yang","year":"2016","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/53\/12\/018"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/56\/18\/011"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1979.10489751"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1137\/1034115"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2195015"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"3116","DOI":"10.1109\/TIP.2010.2052820","article-title":"Automatic parameter selection for denoising algorithms using a no-reference measure of image content","volume":"19","author":"zhu","year":"2010","journal-title":"IEEE Trans Image Process"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2601783"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3233\/XST-17266"},{"key":"ref17","first-page":"417","article-title":"Prospective regularization analysis and design for prior-image-based reconstruction of X-ray CT","volume":"14","author":"zhang","year":"2017","journal-title":"Proc Int Meeting Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2624938"},{"key":"ref19","author":"han","year":"2016","journal-title":"Deep residual learning for compressed sensing ct reconstruction via persistent homology analysis"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-010-0251-1"},{"key":"ref4","article-title":"MRA-based wavelet frames and applications","author":"dong","year":"2010","journal-title":"IAS Lecture Notes Series Summer Program on The Mathematics of Image Processing"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1137\/080725891"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1118\/1.3371691"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10915-009-9320-2"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/56\/13\/004"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"5592","DOI":"10.1118\/1.4745559","article-title":"Four-dimensional cone beam CT reconstruction and enhancement using a temporal nonlocal means method","volume":"39","author":"jia","year":"2012","journal-title":"Med Phys"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmp.2016.05.063"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/53\/17\/021"},{"key":"ref9","first-page":"77440l-1","article-title":"EdgeCS: Edge guided compressive sensing reconstruction","volume":"7744","author":"guo","year":"2010","journal-title":"Proc SPIE"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(92)90242-F"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12344"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.8.000679"},{"key":"ref21","first-page":"191","article-title":"Low-dose ct streak artifacts removal using deep residual neural network","author":"li","year":"2017","journal-title":"Proc Fully 3D Conf"},{"key":"ref24","first-page":"715","article-title":"Accelerated iterative image reconstruction using a deep learning based leapfrogging strategy","author":"cheng","year":"2017","journal-title":"Proc Fully 3D Conf"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2715284"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref25","author":"mnih","year":"2013","journal-title":"Playing atari with deep reinforcement learning"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/8370207\/08331966.pdf?arnumber=8331966","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T23:13:30Z","timestamp":1693610010000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8331966\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6]]},"references-count":36,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2018.2823679","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6]]}}}