{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T14:36:24Z","timestamp":1774881384018,"version":"3.50.1"},"reference-count":80,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"U.S. National Institutes Health","award":["AA010723"],"award-info":[{"award-number":["AA010723"]}]},{"name":"U.S. National Institutes Health","award":["AA026762"],"award-info":[{"award-number":["AA026762"]}]},{"name":"U.S. National Institutes Health","award":["AA021681"],"award-info":[{"award-number":["AA021681"]}]},{"name":"U.S. National Institutes Health","award":["AA021690"],"award-info":[{"award-number":["AA021690"]}]},{"name":"U.S. National Institutes Health","award":["AA021691"],"award-info":[{"award-number":["AA021691"]}]},{"name":"U.S. National Institutes Health","award":["AA021692"],"award-info":[{"award-number":["AA021692"]}]},{"name":"U.S. National Institutes Health","award":["AA021695"],"award-info":[{"award-number":["AA021695"]}]},{"name":"U.S. National Institutes Health","award":["AA021696"],"award-info":[{"award-number":["AA021696"]}]},{"name":"U.S. National Institutes Health","award":["AA021697"],"award-info":[{"award-number":["AA021697"]}]},{"name":"U.S. National Institutes Health","award":["MH113406"],"award-info":[{"award-number":["MH113406"]}]},{"name":"Stanford Institute for Human-centered Artificial Intelligence"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1109\/jbhi.2020.3042447","type":"journal-article","created":{"date-parts":[[2020,12,3]],"date-time":"2020-12-03T20:32:57Z","timestamp":1607027577000},"page":"2082-2092","source":"Crossref","is-referenced-by-count":18,"title":["Longitudinal Pooling & Consistency Regularization to Model Disease Progression From MRIs"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0434-5757","authenticated-orcid":false,"given":"Jiahong","family":"Ouyang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingyu","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6739-3716","authenticated-orcid":false,"given":"Edith V.","family":"Sullivan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6796-3766","authenticated-orcid":false,"given":"Adolf","family":"Pfefferbaum","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7259-6112","authenticated-orcid":false,"given":"Susan F.","family":"Tapert","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0579-7763","authenticated-orcid":false,"given":"Ehsan","family":"Adeli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5416-5159","authenticated-orcid":false,"given":"Kilian M.","family":"Pohl","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1176\/appi.ajp.2017.17040469"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.15288\/jsad.2015.76.895"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1111\/adb.12746"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.pnpbp.2018.01.010"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1037\/0894-4105.14.2.178"},{"key":"ref77","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-019-54548-6","article-title":"Classification and visualization of alzheimer's disease using volumetric convolutional neural network and transfer learning","volume":"9","author":"oh","year":"2019","journal-title":"Sci Rep"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.15288\/jsad.2011.72.741"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2017.04.001"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1007\/s00406-008-0846-3"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00320-3_14"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.01.031"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2018180958"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-96890-2_27"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-37769-z"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00937-3_67"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13765"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-24271-9"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1158\/1078-0432.CCR-18-2495"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532332"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.20906"},{"key":"ref61","article-title":"Deep inside convolutional networks: Visualising image classification models and saliency maps","author":"simonyan","year":"0","journal-title":"Proc Workshop 2nd Int Conf Learn Representations"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.2307\/2531595"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32692-0_36"},{"key":"ref64","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1016\/j.jalz.2017.02.001","article-title":"2017 Alzheimer's disease facts and figures","volume":"13","author":"association","year":"2017","journal-title":"Alzheimer's Dementia"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_37"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0b013e318281ccd3"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/S2215-0366(14)70301-3"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.01.004"},{"key":"ref67","first-page":"183-206","article-title":"Alcohol's effects on the brain: Neuroimaging results in humans and animal models","volume":"38","author":"zahr","year":"2018","journal-title":"Alcohol Res"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.2307\/2340521"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhu134"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.05.065"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1097\/WCO.0b013e32830719d4"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.12.071"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2704614"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0033182"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_49"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-02267-3_31"},{"key":"ref26","article-title":"Learning to diagnose with LSTM recurrent neural networks","author":"lipton","year":"0","journal-title":"Proc 4th Int Conf Learn Representations (ICLR)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2018.08.022"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s00429-013-0687-3"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.167"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2014.2372011"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00919-9_39"},{"key":"ref57","first-page":"1","article-title":"Alcohol use effects on adolescent brain development revealed by simultaneously removing confounding factors, identifying morphometric patterns, and classifying individuals","volume":"8","year":"2018","journal-title":"Sci Rep"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101694"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.117293"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32692-0_38"},{"key":"ref53","article-title":"Unsupervised representation learning by predicting image rotations","author":"gidaris","year":"0","journal-title":"Proc 6th Int Conf Learn Representations (ICLR)"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.628"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/0169-7439(89)80095-4"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.3252-09.2009"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.02.084"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1001\/archneurol.2011.167"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.21304"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.05.049"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1002\/sim.2437"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.12.004"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s12013-010-9093-0"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s10548-012-0246-x"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-018-02887-9"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2018.01.002"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2015.03.035"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2018.01.020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2016.04.001"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.10.065"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.4310\/SII.2010.v3.n2.a10"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2019.01.005"},{"key":"ref49","article-title":"Imposing hard constraints on deep networks: Promises and limitations","author":"m\u00e1rquez-neila","year":"0","journal-title":"Proc IEEE Int Conf Comput Vis Workshop Negative Results Comput Vis"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2016.05.017"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcn.2017.10.001"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.10.004"},{"key":"ref48","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"chung","year":"0","journal-title":"Proc 28th Conf Neural Inf Process Syst (NeurIPS) Deep Learn Representation Learn Workshop"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.24541"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.07.026"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_25"},{"key":"ref43","first-page":"1310","article-title":"On the difficulty of training recurrent neural networks","volume":"28","author":"pascanu","year":"0","journal-title":"Proc 30th Int Conf Mach Learn"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/9446651\/09280341.pdf?arnumber=9280341","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:24Z","timestamp":1652194404000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9280341\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6]]},"references-count":80,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2020.3042447","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6]]}}}