{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T15:30:48Z","timestamp":1778167848247,"version":"3.51.4"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Biomed. Eng."],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1109\/tbme.2023.3265679","type":"journal-article","created":{"date-parts":[[2023,4,10]],"date-time":"2023-04-10T19:06:42Z","timestamp":1681153602000},"page":"2822-2833","source":"Crossref","is-referenced-by-count":22,"title":["Semi-Supervised Bladder Tissue Classification in Multi-Domain Endoscopic Images"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5508-0747","authenticated-orcid":false,"given":"Jorge F.","family":"Lazo","sequence":"first","affiliation":[{"name":"Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7605-2056","authenticated-orcid":false,"given":"Benoit","family":"Rosa","sequence":"additional","affiliation":[{"name":"ICube, UMR 7357, CNRS-Université de Strasbourg, France"}]},{"given":"Michele","family":"Catellani","sequence":"additional","affiliation":[{"name":"Hospital Papa Giovanni XXIII, Italy"}]},{"given":"Matteo","family":"Fontana","sequence":"additional","affiliation":[{"name":"European Institute of Oncology (IRCCS), Italy"}]},{"given":"Francesco A.","family":"Mistretta","sequence":"additional","affiliation":[{"name":"European Institute of Oncology (IRCCS), Italy"}]},{"given":"Gennaro","family":"Musi","sequence":"additional","affiliation":[{"name":"European Institute of Oncology (IRCCS), Italy"}]},{"given":"Ottavio","family":"de Cobelli","sequence":"additional","affiliation":[{"name":"European Institute of Oncology (IRCCS), Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8422-572X","authenticated-orcid":false,"given":"Michel","family":"de Mathelin","sequence":"additional","affiliation":[{"name":"ICube, UMR 7357, CNRS-Université de Strasbourg, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8819-2734","authenticated-orcid":false,"given":"Elena","family":"De Momi","sequence":"additional","affiliation":[{"name":"Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3083187.3083212"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.103698"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.02.123"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP40778.2020.9191127"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.gie.2015.08.004"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2547947"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM47256.2019.8982932"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-021-02262-8"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-020-01096-z"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.eururo.2005.12.031"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1145\/3430199.3430217"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.juro.2016.10.061"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33012620"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.eururo.2019.08.032"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2021.106576"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1089\/end.2019.0509"},{"key":"ref18","article-title":"Automatic recognition of bladder tumours using deep learning technology and its clinical application","volume":"17","author":"yang","year":"2020","journal-title":"Int J Med Robot Comput Assist Surg"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ipr.2019.0869"},{"key":"ref50","article-title":"Improved techniques for training gans","volume":"29","author":"salimans","year":"2016","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-021-01782-z"},{"key":"ref45","article-title":"Semi-supervised learning with generative adversarial networks","author":"odena","year":"0","journal-title":"Proc Workshop Data-Efficient Mach Learn"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101733"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3047544"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-021-02490-2"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3092339"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01070"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.21037\/atm.2020.02.44"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475527"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/srep05574"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-809939-1.00010-2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/srep10905"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2559.2005.02096.x"},{"key":"ref3","first-page":"507","article-title":"Bladder cancer: Diagnosis and treatment","volume":"96","author":"degeorge","year":"2017","journal-title":"Amer Fam Physician"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11934-014-0395-4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.juro.2007.09.003"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3042302"},{"key":"ref35","article-title":"Slam endoscopy enhanced by adversarial depth prediction","author":"chen","year":"0","journal-title":"Proc KDD Workshop Appl Data Sci Healthcare"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-019-01962-w"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341556"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00475"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s12539-021-00417-8"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.gie.2020.05.050"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/biology10030175"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1049\/ipr2.12495"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/nrdp.2017.22"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21654"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105834"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3099858"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.gie.2020.07.060"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-58347-1_1"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-98446-9_44"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-017-4989-y"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-91081-x"},{"key":"ref64","article-title":"Adversarial self-defense for cycle-consistent gans","volume":"32","author":"bashkirova","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref63","article-title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","volume":"30","author":"heusel","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1117\/1.2904987"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.01.123"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2923008"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-017-0836-y"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/app10238501"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59861-7_50"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2018.10.009"},{"key":"ref61","article-title":"A transfer-learning approach for lesion detection in endoscopic images from the urinary tract","author":"lazo","year":"2021"}],"container-title":["IEEE Transactions on Biomedical Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10\/10265275\/10098114.pdf?arnumber=10098114","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,16]],"date-time":"2023-10-16T18:02:19Z","timestamp":1697479339000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10098114\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10]]},"references-count":65,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tbme.2023.3265679","relation":{},"ISSN":["0018-9294","1558-2531"],"issn-type":[{"value":"0018-9294","type":"print"},{"value":"1558-2531","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10]]}}}