{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T20:11:25Z","timestamp":1772136685614,"version":"3.50.1"},"reference-count":49,"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\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["SQ2018YFC090002"],"award-info":[{"award-number":["SQ2018YFC090002"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61771331"],"award-info":[{"award-number":["61771331"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"International Science and Technology Cooperation Project of Fujian Province of China","award":["2019I0003"],"award-info":[{"award-number":["2019I0003"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["20720190009"],"award-info":[{"award-number":["20720190009"]}],"id":[{"id":"10.13039\/501100012226","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.2019.2920241","type":"journal-article","created":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T20:00:07Z","timestamp":1559332807000},"page":"181423-181433","source":"Crossref","is-referenced-by-count":45,"title":["Exploiting Discriminative Regions of Brain Slices Based on 2D CNNs for Alzheimer\u2019s Disease Classification"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5272-4540","authenticated-orcid":false,"given":"Fujia","family":"Ren","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenhui","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6957-2942","authenticated-orcid":false,"given":"Nianyin","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunting","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaoqun","family":"Hou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quan","family":"Zou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.22156"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2017.7950647"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.21049"},{"key":"ref32","article-title":"Deep inside convolutional networks: Visualising image classification models and saliency maps","author":"simonyan","year":"2013","journal-title":"arXiv 1312 6034"},{"key":"ref31","first-page":"431","article-title":"Understanding variable importances in forests of randomized trees","volume":"26","author":"louppe","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2018.2858756"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.02.011"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-47157-0_14"},{"key":"ref35","article-title":"Mixup: Beyond empirical risk minimization","author":"zhang","year":"2017","journal-title":"arXiv 1710 09412"},{"key":"ref34","first-page":"869","article-title":"The Alzheimer’s disease neuroimaging initiative","volume":"15","author":"mueller","year":"2005","journal-title":"Clin Neuro"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.7b00307"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.08.045"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNB.2017.2661756"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2018.00410"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"1077","DOI":"10.3233\/JAD-170468","article-title":"Alzheimer’s disease rs11767557 variant regulates epha1 gene expression specifically in human whole blood","volume":"61","author":"liu","year":"2018","journal-title":"Journal of Alzheimers Disease"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.114"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.08.004"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.609"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"752","DOI":"10.1007\/978-981-10-3002-4_61","article-title":"Robust multi-label feature selection with missing labels","author":"xu","year":"2016","journal-title":"Proc Chin Conf Pattern Recognit"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2536809"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"863","DOI":"10.7150\/ijbs.24588","article-title":"Identification of inhibitors of MMPS enzymes via a novel computational approach","volume":"14","author":"jian","year":"2018","journal-title":"Int J Biol Sci"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.04.082"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/ijms19092817"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp.73.6.657"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bty002"},{"key":"ref13","article-title":"Exploring Alzheimer’s anatomical patterns through convolutional networks","volume":"10160","author":"ortiz-su\u00e1rez","year":"2017","journal-title":"Proc Int Symp Med Inf Process Anal"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1007\/978-3-030-02628-8_3","article-title":"Visualizing convolutional networks for MRI-based diagnosis of Alzheimer’s disease","author":"rieke","year":"2018","journal-title":"Understanding and Interpreting Machine Learning in Medical Image Computing Applications"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1186\/1755-8794-8-S2-S2"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2016.2550453"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2018.00411"},{"key":"ref18","article-title":"Visual explanations from deep 3d convolutional neural networks for Alzheimer’s disease classification","author":"yang","year":"2018","journal-title":"arXiv 1803 02544"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref4","first-page":"1","article-title":"Deepad: Alzheimer’s disease classification via deep convolutional neural networks using MRI and fMRI","volume":"1","author":"sarraf","year":"2017","journal-title":"BioRxiv"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s12035-016-9886-2"},{"key":"ref6","article-title":"FuseMe: Classification of sMRI images by fusion of deep CNNs in 2D+\n$\\epsilon$\n projections","author":"afdel","year":"2017","journal-title":"Proc Int Workshop Content-Based Multimedia Indexing"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2018.00035"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.jpdc.2017.08.009","article-title":"Prediction of human protein subcellular localization using deep learning","volume":"117","author":"wei","year":"2018","journal-title":"J Parallel Distrib Comput"},{"key":"ref7","article-title":"Predicting Alzheimer’s disease: A neuroimaging study with 3D convolutional neural networks","author":"payan","year":"2015","journal-title":"arXiv 1502 02506"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bty112"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkx870"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2016.2520947"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1038\/srep32566"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.2174\/1574893611666160609081155"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btx622"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1186\/s12920-017-0313-y"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btx390"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1038\/srep15145"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2018.00515"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08727482.pdf?arnumber=8727482","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T02:06:06Z","timestamp":1643249166000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8727482\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2920241","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}