{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T17:22:37Z","timestamp":1779384157853,"version":"3.53.1"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01HL153146"],"award-info":[{"award-number":["R01HL153146"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["P41EB027061"],"award-info":[{"award-number":["P41EB027061"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R21EB028369"],"award-info":[{"award-number":["R21EB028369"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CCF-1651825"],"award-info":[{"award-number":["CCF-1651825"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2020R1A2B5B03001980"],"award-info":[{"award-number":["NRF-2020R1A2B5B03001980"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Mag."],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1109\/msp.2021.3119273","type":"journal-article","created":{"date-parts":[[2022,2,24]],"date-time":"2022-02-24T20:28:31Z","timestamp":1645734511000},"page":"28-44","source":"Crossref","is-referenced-by-count":77,"title":["Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective"],"prefix":"10.1109","volume":"39","author":[{"given":"Mehmet","family":"Akcakaya","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Burhaneddin","family":"Yaman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hyungjin","family":"Chung","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jong Chul","family":"Ye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","author":"kim","year":"2021","journal-title":"Noise2Score Tweedie&#x2019;s approach to self-supervised image denoising without clean images"},{"key":"ref38","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"ho","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/s41377-021-00484-y"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759250"},{"key":"ref31","author":"chung","year":"2021","journal-title":"Unsupervised missing cone deep learning in optical diffraction tomography"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2020.3018562"},{"key":"ref37","first-page":"11918","article-title":"Generative modeling by estimating gradients of the data distribution","volume":"32","author":"song","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref36","author":"yaman","year":"2021","journal-title":"Zero-shot self-supervised learning for MRI reconstruction"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00196"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1364\/OPTICA.389314"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1137\/20M1317992"},{"key":"ref40","author":"chung","year":"2021","journal-title":"Feature disentanglement in generating three-dimensional structure from two-dimensional slice with sliceGAN"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2020.3006735"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2019.2950640"},{"key":"ref13","first-page":"2965","volume":"80","author":"lehtinen","year":"0","journal-title":"Proc 35th Int Conf Mach Learn"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI48211.2021.9433924"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-33391-1_13"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3389\/fcomp.2020.00005"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI45749.2020.9098612"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.2998402"},{"key":"ref19","article-title":"Explicitly disentangling image content from translation and rotation with spatial-VAE","author":"bepler","year":"2019"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1364\/OE.26.026470"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.28378"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/nbt.4106"},{"key":"ref3","first-page":"524","article-title":"Noise2Self: Blind denoising by self-supervision","author":"batson","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref6","doi-asserted-by":"crossref","DOI":"10.1109\/IEEECONF53345.2021.9723264","article-title":"Improved simultaneous multi-slice functional MRI using self-supervised deep learning","author":"demirel","year":"2021"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-66415-2_28"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/bs.mcb.2019.05.001"},{"key":"ref8","first-page":"271","article-title":"f-GAN: Training generative neural samplers using variational divergence minimization","volume":"29","author":"nowozin","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1002\/gamm.202100008"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00223"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2992393"},{"key":"ref20","article-title":"Fully unsupervised diversity denoising with convolutional variational autoencoders","author":"prakash","year":"2020"},{"key":"ref22","article-title":"AmbientGAN: Generative models from lossy measurements","author":"bora","year":"2018","journal-title":"Proc 6th Int Conf Learn Representations"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1364\/OPTICA.5.000458"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2021.3096491"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1107\/S1600577520000831"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.375595"}],"container-title":["IEEE Signal Processing Magazine"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/79\/9721176\/9721153-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/79\/9721176\/09721153.pdf?arnumber=9721153","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,18]],"date-time":"2023-11-18T01:52:04Z","timestamp":1700272324000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9721153\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3]]},"references-count":40,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/msp.2021.3119273","relation":{},"ISSN":["1053-5888","1558-0792"],"issn-type":[{"value":"1053-5888","type":"print"},{"value":"1558-0792","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3]]}}}