{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T05:46:54Z","timestamp":1778824014449,"version":"3.51.4"},"reference-count":26,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1109\/icassp.2018.8461408","type":"proceedings-article","created":{"date-parts":[[2018,9,21]],"date-time":"2018-09-21T22:24:48Z","timestamp":1537568688000},"page":"6668-6672","source":"Crossref","is-referenced-by-count":22,"title":["Deep Residual Learning for Model-Based Iterative CT Reconstruction Using Plug-and-Play Framework"],"prefix":"10.1109","author":[{"given":"Dong Hye","family":"Ye","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Somesh","family":"Srivastava","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jean-Baptiste","family":"Thibault","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ken","family":"Sauer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Charles","family":"Bouman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/BF01581204"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"ref12","article-title":"Image denoising using a neural network based non-linear filter in wavelet domain","author":"zhang","year":"2005","journal-title":"Proc IEEE Int Conf Acoust Speech and Signal Process (ICASSP)"},{"key":"ref13","first-page":"769","article-title":"Natural image denoising with convolutional networks","author":"jain","year":"2009","journal-title":"Proc Neural Inf Process (NIPS)"},{"key":"ref14","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"Journal of Machine Learning Research"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247952"},{"key":"ref16","first-page":"341","article-title":"Image denoising and inpainting with deep neural networks","author":"xie","year":"2012","journal-title":"Proc Neural Inf Process (NIPS)"},{"key":"ref17","article-title":"Deep Residual Learning for Image Recognition","author":"he","year":"2016","journal-title":"Proc IEEE Conf Comput Vision Pattern Recognition (CVPR)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2662206"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12344"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1974.tb00999.x"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2015.2461492"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/53\/17\/021"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/42.993128"},{"key":"ref8","first-page":"940","article-title":"Plug-and-play priors for model based reconstruction","author":"venkatakrishnan","year":"2013","journal-title":"Proc IEEE Global Conf Signal Inf Process"},{"key":"ref7","first-page":"359","article-title":"A Gaussian Mixture MRF for Model-Based Iterative Reconstruction","volume":"2","author":"zhang","year":"2016","journal-title":"I IEEE Transactions on Computers"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2282370"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2599778"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1118\/1.2789499"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2715284"},{"key":"ref22","first-page":"103","article-title":"Optimized Momentum Steps for Accelerating X-ray CT Ordered Subsets Image Reconstruction","author":"kim","year":"2014","journal-title":"Int'l Conf on Image Formation in xray CT"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/78.193196"},{"key":"ref24","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioe","year":"2015","journal-title":"Proc IEEE Int Conf Mach Learn (ICML)"},{"key":"ref23","first-page":"807","article-title":"Rectied linear units improve restricted boltzmann machines","author":"nair","year":"2010","journal-title":"Proc IEEE Int Conf Mach Learn (ICML)"},{"key":"ref26","first-page":"197","article-title":"Nested loop algorithm for parallel model based iterative reconstruction","author":"yu","year":"2013","journal-title":"International Conference on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine"},{"key":"ref25","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"International Conference on Learning Representations"}],"event":{"name":"ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Calgary, AB","start":{"date-parts":[[2018,4,15]]},"end":{"date-parts":[[2018,4,20]]}},"container-title":["2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8450881\/8461260\/08461408.pdf?arnumber=8461408","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T01:50:26Z","timestamp":1598233826000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8461408\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icassp.2018.8461408","relation":{},"subject":[],"published":{"date-parts":[[2018,4]]}}}