{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T15:14:14Z","timestamp":1781104454180,"version":"3.54.1"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100006280","name":"Ministerio de Ciencia y Tecnolog\u00eda","doi-asserted-by":"publisher","award":["TIN2014- 55710-R"],"award-info":[{"award-number":["TIN2014- 55710-R"]}],"id":[{"id":"10.13039\/501100006280","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006280","name":"Ministerio de Ciencia y Tecnolog\u00eda","doi-asserted-by":"publisher","award":["DPI2017-86696-R"],"award-info":[{"award-number":["DPI2017-86696-R"]}],"id":[{"id":"10.13039\/501100006280","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2900198","type":"journal-article","created":{"date-parts":[[2019,2,20]],"date-time":"2019-02-20T20:16:06Z","timestamp":1550693766000},"page":"25171-25184","source":"Crossref","is-referenced-by-count":69,"title":["Multiple Sclerosis Lesion Synthesis in MRI Using an Encoder-Decoder U-NET"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9915-8390","authenticated-orcid":false,"given":"Mostafa","family":"Salem","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sergi","family":"Valverde","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mariano","family":"Cabezas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deborah","family":"Pareto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arnau","family":"Oliver","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joaquim","family":"Salvi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alex","family":"Rovira","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xavier","family":"Llado","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/42.906424"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1111\/jon.12506"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2010.2046908"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2419072"},{"key":"ref30","first-page":"1","article-title":"3D segmentation in the clinic: A grand challenge II: MS lesion segmentation","volume":"11","author":"styner","year":"2008","journal-title":"Midas J"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2014.12.061"},{"key":"ref36","first-page":"67","article-title":"Real data augmentation for medical image classification","author":"zhang","year":"2017","journal-title":"Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis"},{"key":"ref35","first-page":"531","article-title":"Why does synthesized data improve multi-sequence classification?","author":"van tulder","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention&#x2014;MICCAI"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.04.034"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2015.05.003"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1007\/978-3-319-46976-8_19","article-title":"The importance of skip connections in biomedical image segmentation","author":"drozdzal","year":"2016","journal-title":"Deep Learning and Data Labeling for Medical Applications"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(15)00393-2"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2017.12.022"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2886371"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.05.004"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2011.2138152"},{"key":"ref17","first-page":"631","article-title":"Is synthesizing MRI contrast useful for inter-modality analysis?","author":"iglesias","year":"2013","journal-title":"Medical Image Computing and Computer-Assisted Intervention&#x2014;MICCAI"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2015.05.003"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.10.004"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2017.11.015"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.21344"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1007\/978-3-319-67389-9_44","article-title":"Tversky loss function for image segmentation using 3d fully convolutional deep networks","author":"salehi","year":"2017","journal-title":"Machine Learning in Medical Imaging"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1007\/978-3-319-75238-9_3","article-title":"Automated segmentation of multiple sclerosis lesions using multi-dimensional gated recurrent units","author":"andermatt","year":"2018","journal-title":"International Workshop on Brainlesion Glioma Multiple Sclerosis Stroke and Traumatic Brain Injuries"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1007\/978-3-319-46630-9_9","article-title":"Pseudo-healthy image synthesis for white matter lesion segmentation","author":"bowles","year":"2016","journal-title":"Simulation and Synthesis in Medical Imaging"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2009.09.005"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2017.06.006"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2016.12.064"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2014.04.006"},{"key":"ref2","author":"abadi","year":"2015","journal-title":"TensorFlow Large-Scale Machine Learning on Heterogeneous Systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2764326"},{"key":"ref1","year":"2016","journal-title":"MSSEG Challenge Proceedings Multiple Sclerosis Lesions Segmentation Challenge Using a Data Management and Processing Infrastructure"},{"key":"ref20","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume":"1","author":"krizhevsky","year":"2012","journal-title":"Proc NIPS"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2009.09.002"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2011.10.011"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2548501"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.1.2.024003"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/nrneurol.2015.106"},{"key":"ref25","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention&#x2014;MICCAI"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08645628.pdf?arnumber=8645628","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T05:47:27Z","timestamp":1643262447000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8645628\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2900198","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}