{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:21:56Z","timestamp":1740100916871,"version":"3.37.3"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,11]],"date-time":"2022-07-11T00:00:00Z","timestamp":1657497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,11]],"date-time":"2022-07-11T00:00:00Z","timestamp":1657497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1816363"],"award-info":[{"award-number":["IIS-1816363"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000005","name":"US Department of Defense","doi-asserted-by":"publisher","award":["N00014-20-1-2027"],"award-info":[{"award-number":["N00014-20-1-2027"]}],"id":[{"id":"10.13039\/100000005","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,11]]},"DOI":"10.1109\/embc48229.2022.9871492","type":"proceedings-article","created":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T20:02:05Z","timestamp":1662667325000},"page":"01-04","source":"Crossref","is-referenced-by-count":1,"title":["Deep Metric Representation Learning for Clinical Resting State fMRI"],"prefix":"10.1109","author":[{"given":"Arunesh","family":"Mittal","sequence":"first","affiliation":[{"name":"Data Science Institute, Columbia University,Dept. of Electrical Eng."}]},{"given":"John","family":"Paisley","sequence":"additional","affiliation":[{"name":"Data Science Institute, Columbia University,Dept. of Electrical Eng."}]},{"given":"Paul","family":"Sajda","sequence":"additional","affiliation":[{"name":"Data Science Institute, Columbia University,Dept. of Electrical Eng."}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2013.00599"},{"key":"ref11","first-page":"10","article-title":"Towards automated analysis of connectomes: The configurable pipeline for the analysis of connectomes (c-pac)","volume":"42","author":"craddock","year":"2013","journal-title":"Front Neuroinform"},{"journal-title":"COBRE preprocessed with NIAK 0 17 - lightweight release","year":"0","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.02.062"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1006\/nimg.2001.0978"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.117328"},{"key":"ref16","article-title":"Pattern recognition","volume":"128","author":"bishop","year":"2006","journal-title":"Machine Learning"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","article-title":"Maximum likelihood from incomplete data via the em algorithm","volume":"39","author":"dempster","year":"1977","journal-title":"Journal of the Royal Statistical Society Series B (Methodological)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/nrneurol.2009.198"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511895029"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3389\/fnsys.2010.00019"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A3263"},{"key":"ref8","first-page":"8026","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume":"32","author":"paszke","year":"2019","journal-title":"Advances in neural information processing systems"},{"journal-title":"Probabilistic Machine Learning An introduction","year":"2022","author":"murphy","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref9","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"ArXiv Preprint"}],"event":{"name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","start":{"date-parts":[[2022,7,11]]},"location":"Glasgow, Scotland, United Kingdom","end":{"date-parts":[[2022,7,15]]}},"container-title":["2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9870821\/9870822\/09871492.pdf?arnumber=9871492","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T21:00:16Z","timestamp":1664226016000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9871492\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,11]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/embc48229.2022.9871492","relation":{},"subject":[],"published":{"date-parts":[[2022,7,11]]}}}