{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T02:28:36Z","timestamp":1730341716284,"version":"3.28.0"},"reference-count":43,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"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":[[2022,7,18]]},"DOI":"10.23919\/annsim55834.2022.9859295","type":"proceedings-article","created":{"date-parts":[[2022,8,23]],"date-time":"2022-08-23T19:52:45Z","timestamp":1661284365000},"page":"270-281","source":"Crossref","is-referenced-by-count":2,"title":["Synthesizing Diagnostic Burn Images For Deep Learning Applications"],"prefix":"10.23919","author":[{"given":"Bernhard","family":"Schenkenfelder","sequence":"first","affiliation":[{"name":"RISC Software GmbH Softwarepark 32a,Department of Medical Informatics,Hagenberg,AUSTRIA"}]},{"given":"Sophie","family":"Kaltenleithner","sequence":"additional","affiliation":[{"name":"RISC Software GmbH Softwarepark 32a,Department of Medical Informatics,Hagenberg,AUSTRIA"}]},{"given":"Bertram","family":"Sabrowsky-Hirsch","sequence":"additional","affiliation":[{"name":"RISC Software GmbH Softwarepark 32a,Department of Medical Informatics,Hagenberg,AUSTRIA"}]},{"given":"Christoph","family":"Klug","sequence":"additional","affiliation":[{"name":"RISC Software GmbH Softwarepark 32a,Department of Medical Informatics,Hagenberg,AUSTRIA"}]},{"given":"David B.","family":"Lumenta","sequence":"additional","affiliation":[{"name":"Medical University of Graz Auenbruggerplatz 5,Research Unit Digital Surgery Div. of Plastic, Aesthetic and Reconstructive Surgery,Department of Surgery,Graz,AUSTRIA"}]},{"given":"Josef","family":"Scharinger","sequence":"additional","affiliation":[{"name":"Institute of Computational Perception Johannes Kepler University Altenberger Stra&#x00DF;e 69,Linz,AUSTRIA"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2019.101727"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.492"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"journal-title":"The Burn Medical Assistant Developing Machine Learning Algorithms to Aid in the Estimation of Burn Wound Size (BURNMAN)","year":"2020","author":"serio-melvin","key":"ref32"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.23919\/ANNSIM52504.2021.9552106"},{"journal-title":"Detect-and-Segment a Deep Learning Approach to Automate Wound Image Segmentation","year":"2021","author":"scebba","key":"ref30"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01467-7"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14047"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-015-0068-x"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1037\/0033-2909.86.2.420"},{"key":"ref10","first-page":"doc5.01","author":"giretzlehner","year":"2020","journal-title":"New Possibilities of 3D Diagnostics for Burn Injuries"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"21897","DOI":"10.1038\/s41598-020-78799-w","article-title":"Fully automatic wound segmentation with deep convolutional neural networks","volume":"10","author":"wang","year":"2020","journal-title":"Scientific Reports"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.burns.2008.07.010"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.442"},{"journal-title":"BlendTorch A Real-Time Adaptive Domain Randomization Library","year":"2020","author":"heindl","key":"ref13"},{"key":"ref14","first-page":"682","volume":"11129","author":"hinterstoisser","year":"2019","journal-title":"On pre-trained image features and synthetic images for deep learning"},{"key":"ref15","first-page":"69","article-title":"Lois de distribution florale dans la zone alpine","volume":"38","author":"jaccard","year":"1902","journal-title":"Bulletin de la Soci&#x00E9;t&#x00E9; Vaudoise des Sciences Naturelles"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1186\/s41038-018-0137-9"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3035125"},{"key":"ref18","first-page":"arxiv: 1412.6980","article-title":"Adam: A Method for Stochastic Optimization","author":"kingma","year":"2017","journal-title":"arXiv 1412 6980"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1126\/science.220.4598.671"},{"key":"ref28","first-page":"460","author":"richardson","year":"2016","journal-title":"3D Face Reconstruction by Learning from Synthetic Data"},{"key":"ref4","article-title":"Synthesizing Training Images for Boosting Human 3D Pose Estimation","author":"chen","year":"2017","journal-title":"arXiv 1604 02703 [cs]"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1145\/882262.882269","article-title":"Poisson image editing","volume":"22","author":"p\u00e9rez","year":"2003","journal-title":"ACM Transactions on Graphics"},{"journal-title":"URL http \/\/www blender org","article-title":"Blender - a 3D modelling and rendering package","year":"2018","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8856665"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref8","first-page":"174","volume":"26","author":"de melo","year":"2022","journal-title":"Next-generation deep learning based on simulators and synthetic data"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1093\/jbcr\/iraa208"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1341771.1341782"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.2307\/1932409"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-021-00438-z"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/54\/9\/018"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532566"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/4149103"},{"key":"ref42","article-title":"Web-based total body surface area burned (TBSA-B) estimation tool","author":"wimmer","year":"2018","journal-title":"In 4 Kepler Science Day"},{"key":"ref24","first-page":"352","article-title":"The Estimation of Areas of Burns","volume":"79","author":"lund","year":"1944","journal-title":"Surgery Gynecology and Obstetrics"},{"journal-title":"Surface 3D-Webbasiertes Tool f&#x00FC;r die Verbrennungsdokumentation","year":"2017","author":"wimmer","key":"ref41"},{"key":"ref23","first-page":"1","author":"liu","year":"2017","journal-title":"A framework of wound segmentation based on deep convolutional networks"},{"key":"ref26","article-title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","volume":"32","author":"paszke","year":"2019","journal-title":"In Advances in Neural Information Processing Systems"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/42.363096"},{"key":"ref25","first-page":"arxiv: 2104.06523","article-title":"A Review of Anonymization for Healthcare Data","author":"olatunji","year":"2021","journal-title":"arXiv 2104 06523 [cs]"}],"event":{"name":"2022 Annual Modeling and Simulation Conference (ANNSIM)","start":{"date-parts":[[2022,7,18]]},"location":"San Diego, CA, USA","end":{"date-parts":[[2022,7,20]]}},"container-title":["2022 Annual Modeling and Simulation Conference (ANNSIM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9859263\/9859270\/09859295.pdf?arnumber=9859295","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T20:02:26Z","timestamp":1663012946000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9859295\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":43,"URL":"https:\/\/doi.org\/10.23919\/annsim55834.2022.9859295","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}