{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T23:08:13Z","timestamp":1725577693535},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"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":[[2021,11,1]]},"DOI":"10.1109\/embc46164.2021.9630115","type":"proceedings-article","created":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T16:24:16Z","timestamp":1639067056000},"page":"5570-5573","source":"Crossref","is-referenced-by-count":1,"title":["Cardiac Disease Representation Conditioned by Spatio-temporal Priors in Cine-MRI Sequences Using Generative Embedding Vectors"],"prefix":"10.1109","author":[{"given":"Henry","family":"Pena","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Santiago","family":"Gomez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Romo-Bucheli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabio","family":"Martinez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcmg.2019.06.009"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-42999-1_2"},{"article-title":"Disentangling multiple conditional inputs in gans","year":"2018","author":"yildirim","key":"ref12"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention &#x2013; MICCAI 2015"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.21655"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2002.1029415"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206697"},{"article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","year":"2015","author":"radford","key":"ref17"},{"key":"ref18","first-page":"146","article-title":"Unsupervised anomaly detection with generative adversarial networks to guide marker discovery","author":"schlegl","year":"2017","journal-title":"proc of IPMI"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2837502"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-75541-0_9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbiomech.2019.109544"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/DICTA.2016.7797091"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2019182304"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101668"},{"article-title":"The effectiveness of data augmentation in image classification using deep learning","year":"2017","author":"perez","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6579\/aa6e9c"},{"article-title":"Global atlas on cardiovascular disease prevention and control","year":"2011","author":"mendis","key":"ref1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-020-00511-1"},{"article-title":"Umap: Uniform manifold approximation and projection for dimension reduction","year":"2020","author":"mcinnes","key":"ref20"}],"event":{"name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","start":{"date-parts":[[2021,11,1]]},"location":"Mexico","end":{"date-parts":[[2021,11,5]]}},"container-title":["2021 43rd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9629355\/9629471\/09630115.pdf?arnumber=9630115","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T12:54:15Z","timestamp":1652187255000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9630115\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,1]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/embc46164.2021.9630115","relation":{},"subject":[],"published":{"date-parts":[[2021,11,1]]}}}