{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T15:11:11Z","timestamp":1777734671557,"version":"3.51.4"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006012","name":"Christian Doppler Research Association","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006012","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Austrian Federal Ministry for Digital and Economic Affairs"},{"DOI":"10.13039\/100010132","name":"\u00d6sterreichische Nationalstiftung f\u00fcr Forschung, Technologie und Entwicklung","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010132","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3379015","type":"journal-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T19:21:25Z","timestamp":1710789685000},"page":"47009-47023","source":"Crossref","is-referenced-by-count":5,"title":["Interactive Deep Learning-Based Retinal OCT Layer Segmentation Refinement by Regressing Translation Maps"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4225-2156","authenticated-orcid":false,"given":"Guilherme","family":"Aresta","sequence":"first","affiliation":[{"name":"Department of Ophthalmology and Optometry, Christian Doppler Laboratory for Artificial Intelligence in Retina, Medical University of Vienna, Vienna, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9687-528X","authenticated-orcid":false,"given":"Teresa","family":"Ara\u00fajo","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology and Optometry, Christian Doppler Laboratory for Artificial Intelligence in Retina, Medical University of Vienna, Vienna, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6158-2612","authenticated-orcid":false,"given":"Botond","family":"Fazekas","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology and Optometry, Christian Doppler Laboratory for Artificial Intelligence in Retina, Medical University of Vienna, Vienna, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0528-9742","authenticated-orcid":false,"given":"Julia","family":"Mai","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology and Optometry, Christian Doppler Laboratory for Artificial Intelligence in Retina, Medical University of Vienna, Vienna, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7788-7311","authenticated-orcid":false,"given":"Ursula","family":"Schmidt-Erfurth","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology and Optometry, Christian Doppler Laboratory for Artificial Intelligence in Retina, Medical University of Vienna, Vienna, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9168-0894","authenticated-orcid":false,"given":"Hrvoje","family":"Bogunovi\u0107","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology and Optometry, Christian Doppler Laboratory for Artificial Intelligence in Retina, Medical University of Vienna, Vienna, Austria"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1167\/tvst.9.2.6"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/eye.2016.227"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.14748\/bro.v66i1.8373"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awq346"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.6.001172"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.7.002888"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.8.001874"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66182-7_21"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.8.002732"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2666045"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1364\/boe.8.003627"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.395279"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.9.005759"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101856"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101693"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-92713-y"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-68195-5_94"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/b978-0-12-816176-0.00016-8"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2019.07.001"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2791721"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-48004-8"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101771"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01225"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00941"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00865"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00544"},{"key":"ref28","article-title":"Getting to 99% accuracy in interactive segmentation","author":"Forte","year":"2020","journal-title":"arXiv:2003.07932"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102062"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102102"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2021.106534"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102862"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.297"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87193-2_12"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2840695"},{"key":"ref36","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2024.108038","article-title":"A deep learning-based interactive medical image segmentation framework with sequential memory","volume":"245","author":"Mikhailov","year":"2024","journal-title":"Comput. Methods Programs Biomed."},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"issue":"1","key":"ref38","doi-asserted-by":"crossref","first-page":"654","DOI":"10.1038\/s41467-024-44824-z","article-title":"Segment anything in medical images","volume":"15","author":"Ma","year":"2024","journal-title":"Nature Commun."},{"key":"ref39","article-title":"BoundarySqueeze: Image segmentation as boundary squeezing","author":"He","year":"2021","journal-title":"arXiv:2105.11668"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00856"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.103113"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.477"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00540"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2802944"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177703732"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2018.12.073"},{"issue":"4","key":"ref47","doi-asserted-by":"crossref","first-page":"2204","DOI":"10.1364\/BOE.417212","article-title":"Multi-scale GCN-assisted two-stage network for joint segmentation of retinal layers and discs in peripapillary OCT images","volume":"12","author":"Li","year":"2021","journal-title":"Biomed. Opt. Exp."},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16443-9_3"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87202-1_49"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10380310\/10474349.pdf?arnumber=10474349","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,10]],"date-time":"2024-04-10T18:22:18Z","timestamp":1712773338000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10474349\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3379015","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}