{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T08:34:28Z","timestamp":1783758868137,"version":"3.55.0"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100015727","name":"Impacting Research Innovation and Technology","doi-asserted-by":"publisher","award":["IMP\/2019\/000383"],"award-info":[{"award-number":["IMP\/2019\/000383"]}],"id":[{"id":"10.13039\/501100015727","id-type":"DOI","asserted-by":"publisher"}]},{"name":"WIPRO GECDS Collaborative Laboratory of Artificial Intelligence in Healthcare and Imaging"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2021,1]]},"DOI":"10.1109\/tmi.2020.3024097","type":"journal-article","created":{"date-parts":[[2020,9,14]],"date-time":"2020-09-14T21:19:47Z","timestamp":1600118387000},"page":"180-192","source":"Crossref","is-referenced-by-count":71,"title":["SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images"],"prefix":"10.1109","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9408-0915","authenticated-orcid":false,"given":"Nilesh A.","family":"Kande","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3398-8337","authenticated-orcid":false,"given":"Rupali","family":"Dakhane","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6352-6283","authenticated-orcid":false,"given":"Ambedkar","family":"Dukkipati","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4810-352X","authenticated-orcid":false,"given":"Phaneendra Kumar","family":"Yalavarthy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2018.2860788"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2017.7950488"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2374354"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.881969"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2827462"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.8.005675"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.9.005129"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-51062-7"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.5201\/ipol.2012.l-bm3d"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1364\/OE.18.024048"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajo.2015.05.008"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1364\/OE.17.000733"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"1260","DOI":"10.1109\/TIP.2002.804276","article-title":"Speckle reducing anisotropic diffusion","volume":"11","author":"yu","year":"2002","journal-title":"IEEE Trans Image Process"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.3.000572"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.8.002720"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.3.000927"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2271904"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"86","DOI":"10.4103\/2228-7477.205592","article-title":"Speckle noise reduction in optical coherence tomography using two-dimensional curvelet-based dictionary learning","volume":"7","author":"esmaeili","year":"2017","journal-title":"Journal of medical signals and sensors"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2019.01.010"},{"key":"ref19","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume":"70","author":"arjovsky","year":"2017","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10043-009-0119-z"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.22.000593"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/83.650848"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1117\/1.429925"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.9.006359"},{"key":"ref29","first-page":"1","article-title":"Shared encoder based denoising of optical coherence tomography images","year":"2018","journal-title":"Proc 11th Indian Conf Comput Vis Graph Image Process"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajo.2008.08.010"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/47\/4\/307"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.24.001901"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1126\/science.1957169"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.877360"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1364\/OE.11.002183"},{"key":"ref20","first-page":"694","article-title":"Perceptual losses for real-time style transfer and super-resolution","author":"johnson","year":"2016","journal-title":"Vision Computer"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8297089"},{"key":"ref21","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/rs10020351"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2924554"},{"key":"ref23","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention—MICCAI"},{"key":"ref26","first-page":"1","article-title":"Siamese neural networks for one-shot image recognition","volume":"37","author":"koch","year":"2015","journal-title":"Proc 32nd Int Conf Mach Learn"},{"key":"ref43","year":"2020","journal-title":"GitHubRepository"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2802944"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/9310721\/09195885.pdf?arnumber=9195885","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:49:17Z","timestamp":1652194157000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9195885\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":43,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2020.3024097","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1]]}}}