{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T15:58:03Z","timestamp":1778255883850,"version":"3.51.4"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"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":[[2020,4]]},"DOI":"10.1109\/isbi45749.2020.9098406","type":"proceedings-article","created":{"date-parts":[[2020,5,22]],"date-time":"2020-05-22T21:12:08Z","timestamp":1590181928000},"page":"1-5","source":"Crossref","is-referenced-by-count":14,"title":["Photoshopping Colonoscopy Video Frames"],"prefix":"10.1109","author":[{"given":"Yuyuan","family":"Liu","sequence":"first","affiliation":[]},{"given":"Yu","family":"Tian","sequence":"additional","affiliation":[]},{"given":"Gabriel","family":"Maicas","sequence":"additional","affiliation":[]},{"given":"Leonardo Zorron","family":"Cheng Tao Pu","sequence":"additional","affiliation":[]},{"given":"Rajvinder","family":"Singh","sequence":"additional","affiliation":[]},{"given":"Johan W.","family":"Verjans","sequence":"additional","affiliation":[]},{"given":"Gustavo","family":"Carneiro","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00301"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.01.010"},{"key":"ref13","article-title":"Wasserstein gan","author":"arjovsky","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21735-7_7"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123451"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00684"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59050-9_12"},{"key":"ref18","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref19","first-page":"507","article-title":"Laplacian score for feature selection","author":"he","year":"2006","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.gie.2018.04.430"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2664042"},{"key":"ref6","author":"camps","year":"2018","journal-title":"One-class gaussian process regressor for quality assessment of transperineal ultrasound images"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1111\/j.1572-0241.2006.00390.x"},{"key":"ref8","article-title":"Adversarial autoencoders","author":"makhzani","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00179"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759521"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21220"},{"key":"ref9","author":"zong","year":"2018","journal-title":"Deep autoencoding gaussian mixture model for unsupervised anomaly detection"},{"key":"ref20","first-page":"5767","article-title":"Improved training of wasser-stein gans","author":"gulrajani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref22","author":"kingma","year":"2015","journal-title":"Adam A method for stochastic optimization"},{"key":"ref21","author":"paszke","year":"2017","journal-title":"On Automatic Differentiation"},{"key":"ref24","article-title":"Tutorial on variational autoencoders","author":"doersch","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref23","first-page":"2234","article-title":"Improved techniques for training gans","author":"salimans","year":"2016","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","location":"Iowa City, IA, USA","start":{"date-parts":[[2020,4,3]]},"end":{"date-parts":[[2020,4,7]]}},"container-title":["2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9091448\/9098313\/09098406.pdf?arnumber=9098406","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:58:16Z","timestamp":1656453496000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9098406\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/isbi45749.2020.9098406","relation":{},"subject":[],"published":{"date-parts":[[2020,4]]}}}