{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T04:50:20Z","timestamp":1776919820564,"version":"3.51.2"},"reference-count":44,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002749","name":"Belgian Federal Science Policy Office","doi-asserted-by":"publisher","award":["4000134334"],"award-info":[{"award-number":["4000134334"]}],"id":[{"id":"10.13039\/501100002749","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Biomed. Eng."],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1109\/tbme.2023.3267600","type":"journal-article","created":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T17:52:35Z","timestamp":1681753955000},"page":"2886-2894","source":"Crossref","is-referenced-by-count":8,"title":["A Deep Learning Image-to-Image Translation Approach for a More Accessible Estimator of the Healing Time of Burns"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4301-9399","authenticated-orcid":false,"given":"Andrea","family":"Rozo","sequence":"first","affiliation":[{"name":"Aero-Thermo-Mechanics Department, Université libre de Bruxelles, Brussels, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1475-0243","authenticated-orcid":false,"given":"Vanja","family":"Miskovic","sequence":"additional","affiliation":[{"name":"Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Rose","sequence":"additional","affiliation":[{"name":"Burn Wound Center, Queen Astrid Military Hospital, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elkana","family":"Keersebilck","sequence":"additional","affiliation":[{"name":"Burn Wound Center, Queen Astrid Military Hospital, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carlo","family":"Iorio","sequence":"additional","affiliation":[{"name":"Aero-Thermo-Mechanics Department, Université libre de Bruxelles, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9581-0676","authenticated-orcid":false,"given":"Carolina","family":"Varon","sequence":"additional","affiliation":[{"name":"STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering (ESAT), KU Leuven, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.burns.2017.08.004"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.2019"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1097\/BCR.0b013e3181c07f21"},{"key":"ref34","article-title":"moorLDI2-BI: A laser doppler blood flow imager for burn wound assessment (MTG2)","year":"2011"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/S0305-4179(00)00118-2","article-title":"An audit of the use of laser Doppler imaging (LDI) in the assessment of burns of intermediate depth","volume":"27","author":"pape","year":"2001","journal-title":"Burns"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44795-4_13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.burns.2015.06.023"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC48229.2022.9871759"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"1705","DOI":"10.3390\/sym12101705","article-title":"Deep generative adversarial networks for image-to-image translation: A review","volume":"12","author":"alotaibi","year":"2020","journal-title":"Symmetry"},{"key":"ref30","first-page":"1964","article-title":"Breaking the dilemma of medical image-to-image translation","volume":"24","author":"kong","year":"2021","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1097\/00005373-198405000-00001","article-title":"Burn depth estimation–man or machine - pubmed","volume":"24","author":"heimbach","year":"1984","journal-title":"J Trauma"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/621792"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"761","DOI":"10.1016\/j.burns.2008.01.009","article-title":"Assessment of burn depth and burn wound healing potential","volume":"34","author":"monstrey","year":"2008","journal-title":"Burns"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105556"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.328.7453.1427"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1186\/1752-2897-3-4"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"1274","DOI":"10.1016\/j.burns.2014.04.024","article-title":"A new, fast LDI for assessment of burns: A multi-centre clinical evaluation","volume":"40","author":"hoeksema","year":"2014","journal-title":"Burns"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/5514224"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.burns.2010.08.013"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"1636","DOI":"10.1016\/j.burns.2015.07.001","article-title":"Machine learning in burn care and research: A systematic review of the literature","volume":"41","author":"liu","year":"2015","journal-title":"Burns"},{"key":"ref19","article-title":"Costing update report of MTG2: MoorLDI2-BI a laser Doppler blood flow imager for burn wound assessment","author":"keltie","year":"2021"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1097\/BCR.0b013e3181c7ed60"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1089\/wound.2015.0684"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1097\/BCR.0000000000000027"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"1516","DOI":"10.1016\/j.burns.2017.04.006","article-title":"The FLIR ONE thermal imager for the assessment of burn wounds: Reliability and validity study","volume":"43","author":"jaspers","year":"2017","journal-title":"Burns"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"1586","DOI":"10.1016\/j.burns.2021.01.011","article-title":"Improving burn depth assessment for pediatric scalds by AI based on semantic segmentation of polarized light photography images","volume":"47","author":"cirillo","year":"2021","journal-title":"Burns"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.burns.2021.01.014"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s40846-020-00574-z"},{"key":"ref41","doi-asserted-by":"crossref","first-page":"2018","DOI":"10.1049\/iet-ipr.2018.5899","article-title":"Automatic classification of skin burn colour images using texture-based feature extraction","volume":"13","author":"?evik","year":"2019","journal-title":"IET Image Process"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1097\/BCR.0000000000000031"},{"key":"ref44","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1016\/j.burns.2005.11.014","article-title":"Laser doppler imaging of paediatric burns: Burn wound outcome can be predicted independent of clinical examination","volume":"32","author":"hei","year":"2006","journal-title":"Burns"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.burns.2021.01.015"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"876","DOI":"10.1016\/j.burns.2006.02.004","article-title":"Are burns photographs useful?","volume":"32","author":"nelson","year":"2006","journal-title":"Burns"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1089\/wound.2021.0073"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"1691","DOI":"10.1016\/j.burns.2021.07.007","article-title":"A systematic review of machine learning and automation in burn wound evaluation: A promising but developing frontier","volume":"47","author":"huang","year":"2021","journal-title":"Burns"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3109419"},{"key":"ref8","article-title":"Modalities for the assessment of burn wound depth","volume":"5","author":"devgan","year":"2006","journal-title":"J Burns Wounds"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3389\/fbioe.2021.720217"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.2196\/22798"},{"key":"ref4","article-title":"A WHO plan for burn prevention and care","author":"mock","year":"2008"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41572-020-0145-5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1159\/000515963"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMra1807442"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1186\/s41038-018-0137-9"}],"container-title":["IEEE Transactions on Biomedical Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10\/10265275\/10103156.pdf?arnumber=10103156","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,16]],"date-time":"2023-10-16T18:00:44Z","timestamp":1697479244000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10103156\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10]]},"references-count":44,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tbme.2023.3267600","relation":{},"ISSN":["0018-9294","1558-2531"],"issn-type":[{"value":"0018-9294","type":"print"},{"value":"1558-2531","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10]]}}}