{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T02:18:39Z","timestamp":1743128319177,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030006884"},{"type":"electronic","value":"9783030006891"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-00689-1_7","type":"book-chapter","created":{"date-parts":[[2018,9,16]],"date-time":"2018-09-16T06:40:30Z","timestamp":1537080030000},"page":"66-73","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Multi-modal Brain Connectivity Study Using Deep Collaborative Learning"],"prefix":"10.1007","author":[{"given":"Wenxing","family":"Hu","sequence":"first","affiliation":[]},{"given":"Biao","family":"Cai","sequence":"additional","affiliation":[]},{"given":"Vince","family":"Calhoun","sequence":"additional","affiliation":[]},{"given":"Yu-Ping","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,16]]},"reference":[{"issue":"3","key":"7_CR1","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/MSP.2015.2478915","volume":"33","author":"VD Calhoun","year":"2016","unstructured":"Calhoun, V.D., Adali, T.: Time-varying brain connectivity in fMRI data: whole-brain data-driven approaches for capturing and characterizing dynamic states. IEEE Sig. Process. Mag. 33(3), 52\u201366 (2016)","journal-title":"IEEE Sig. Process. Mag."},{"issue":"2","key":"7_CR2","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1016\/j.neuron.2014.10.015","volume":"84","author":"VD Calhoun","year":"2014","unstructured":"Calhoun, V.D., Miller, R., Pearlson, G., Adal\u0131, T.: The chronnectome: time-varying connectivity networks as the next frontier in fMRI data discovery. Neuron 84(2), 262\u2013274 (2014)","journal-title":"Neuron"},{"key":"7_CR3","doi-asserted-by":"crossref","unstructured":"Braun, U., Muldoon, S.F., Bassett, D.S.: On human brain networks in health and disease. eLS, 1\u20139 (2001)","DOI":"10.1002\/9780470015902.a0025783"},{"issue":"5","key":"7_CR4","doi-asserted-by":"publisher","first-page":"1224","DOI":"10.1109\/TMI.2017.2786553","volume":"37","author":"B Cai","year":"2018","unstructured":"Cai, B., Zille, P., Stephen, J.M., Wilson, T.W., Calhoun, V.D., Wang, Y.P.: Estimation of dynamic sparse connectivity patterns from resting state fMRI. IEEE Trans. Med. Imaging 37(5), 1224\u20131234 (2018)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"7_CR5","doi-asserted-by":"crossref","unstructured":"Deng, S.-P., Hu, W., Calhoun, V.D., Wang, Y.-P.: Integrating imaging genomic data in the quest for biomarkers for schizophrenia disease. IEEE\/ACM Trans. Comput. Biol. Bioinform. (2017)","DOI":"10.1109\/TCBB.2017.2748944"},{"issue":"1","key":"7_CR6","doi-asserted-by":"publisher","first-page":"S163","DOI":"10.1016\/j.neuroimage.2008.10.057","volume":"45","author":"VD Calhoun","year":"2009","unstructured":"Calhoun, V.D., Liu, J., Adal\u0131, T.: A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data. Neuroimage 45(1), S163\u2013S172 (2009)","journal-title":"Neuroimage"},{"issue":"3\/4","key":"7_CR7","doi-asserted-by":"publisher","first-page":"321","DOI":"10.2307\/2333955","volume":"28","author":"H Hotelling","year":"1936","unstructured":"Hotelling, H.: Relations between two sets of variates. Biometrika 28(3\/4), 321\u2013377 (1936)","journal-title":"Biometrika"},{"issue":"3","key":"7_CR8","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1093\/bioinformatics\/btv586","volume":"32","author":"S Cao","year":"2015","unstructured":"Cao, S., Qin, H., Gossmann, A., Deng, H.-W., Wang, Y.-P.: Unified tests for fine-scale mapping and identifying sparse high-dimensional sequence associations. Bioinformatics 32(3), 330\u2013337 (2015)","journal-title":"Bioinformatics"},{"issue":"2","key":"7_CR9","first-page":"390","volume":"65","author":"W Hu","year":"2018","unstructured":"Hu, W., et al.: Adaptive sparse multiple canonical correlation analysis with application to imaging (epi) genomics study of schizophrenia. IEEE Trans. Biomed. Eng. 65(2), 390\u2013399 (2018)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"10","key":"7_CR10","doi-asserted-by":"publisher","first-page":"3918","DOI":"10.1109\/TSP.2009.2021636","volume":"57","author":"Y-O Li","year":"2009","unstructured":"Li, Y.-O., Adali, T., Wang, W., Calhoun, V.D.: Joint blind source separation by multiset canonical correlation analysis. IEEE Trans. Sig. Process. 57(10), 3918\u20133929 (2009)","journal-title":"IEEE Trans. Sig. Process."},{"issue":"6","key":"7_CR11","doi-asserted-by":"publisher","first-page":"891","DOI":"10.1016\/j.media.2013.10.010","volume":"18","author":"D Lin","year":"2014","unstructured":"Lin, D., Calhoun, V.D., Wang, Y.-P.: Correspondence between fMRI and SNP data by group sparse canonical correlation analysis. Med. Image Anal. 18(6), 891\u2013902 (2014)","journal-title":"Med. Image Anal."},{"issue":"10","key":"7_CR12","doi-asserted-by":"publisher","first-page":"1544","DOI":"10.1093\/bioinformatics\/btw033","volume":"32","author":"L Du","year":"2016","unstructured":"Du, L., et al.: Structured sparse canonical correlation analysis for brain imaging genetics: an improved graphnet method. Bioinformatics 32(10), 1544\u20131551 (2016)","journal-title":"Bioinformatics"},{"issue":"2","key":"7_CR13","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1093\/biostatistics\/kxu047","volume":"16","author":"SM Gross","year":"2014","unstructured":"Gross, S.M., Tibshirani, R.: Collaborative regression. Biostatistics 16(2), 326\u2013338 (2014)","journal-title":"Biostatistics"},{"key":"7_CR14","unstructured":"Andrew, G., Arora, R., Bilmes, J., Livescu, K.: Deep canonical correlation analysis. In: International Conference on Machine Learning, pp. 1247\u20131255 (2013)"},{"key":"7_CR15","doi-asserted-by":"publisher","first-page":"544","DOI":"10.1016\/j.neuroimage.2013.07.064","volume":"86","author":"TD Satterthwaite","year":"2014","unstructured":"Satterthwaite, T.D., et al.: Neuroimaging of the philadelphia neurodevelopmental cohort. Neuroimage 86, 544\u2013553 (2014)","journal-title":"Neuroimage"},{"key":"7_CR16","doi-asserted-by":"crossref","unstructured":"Wilkinson, G.S., Robertson, G.J.: Wide Range Achievement Test. Psychological Assessment Resources (2006)","DOI":"10.1037\/t27160-000"},{"key":"7_CR17","doi-asserted-by":"crossref","unstructured":"Hu, W., Lin, D., Calhoun, V.D., Wang, Y.-P.: Integration of SNPs-FMRI-methylation data with sparse multi-CCA for schizophrenia study. In: 2016 IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), pp. 3310\u20133313. IEEE (2016)","DOI":"10.1109\/EMBC.2016.7591436"}],"container-title":["Lecture Notes in Computer Science","Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00689-1_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T00:02:38Z","timestamp":1694736158000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00689-1_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030006884","9783030006891"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00689-1_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"16 September 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Beyond MIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Integrating Medical Imaging and Non-Imaging Modalities for Healthcare Challenges","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Granada","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mic2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/beyondmic.mit.edu\/beyondmic\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}