{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T10:22:54Z","timestamp":1771064574943,"version":"3.50.1"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030322502","type":"print"},{"value":"9783030322519","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-32251-9_49","type":"book-chapter","created":{"date-parts":[[2019,10,9]],"date-time":"2019-10-09T23:08:49Z","timestamp":1570662529000},"page":"447-455","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics"],"prefix":"10.1007","author":[{"given":"Lei","family":"Du","sequence":"first","affiliation":[]},{"given":"Fang","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Kefei","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Xiaohui","family":"Yao","sequence":"additional","affiliation":[]},{"given":"Shannon L.","family":"Risacher","sequence":"additional","affiliation":[]},{"given":"Junwei","family":"Han","sequence":"additional","affiliation":[]},{"given":"Lei","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Andrew J.","family":"Saykin","sequence":"additional","affiliation":[]},{"given":"Li","family":"Shen","sequence":"additional","affiliation":[]},{"name":"for the Alzheimer\u2019s Disease Neuroimaging Initiative","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,10]]},"reference":[{"key":"49_CR1","doi-asserted-by":"crossref","unstructured":"Du, L., et al.: Fast multi-task SCCA learning with feature selection for multi-modal brain imaging genetics. In: BIBM, pp. 356\u2013361 (2018)","DOI":"10.1109\/BIBM.2018.8621298"},{"issue":"2","key":"49_CR2","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1093\/bioinformatics\/btx594","volume":"34","author":"L Du","year":"2018","unstructured":"Du, L., et al.: A novel SCCA approach via truncated $$\\ell _1$$-norm and truncated group lasso for brain imaging genetics. Bioinformatics 34(2), 278\u2013285 (2018)","journal-title":"Bioinformatics"},{"issue":"14","key":"49_CR3","doi-asserted-by":"publisher","first-page":"i474","DOI":"10.1093\/bioinformatics\/btz320","volume":"35","author":"L Du","year":"2019","unstructured":"Du, L., et al.: Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the adni cohort. Bioinformatics 35(14), i474\u2013483 (2019)","journal-title":"Bioinformatics"},{"issue":"12","key":"49_CR4","doi-asserted-by":"publisher","first-page":"7947","DOI":"10.1109\/TIT.2013.2280272","volume":"59","author":"A Jalali","year":"2013","unstructured":"Jalali, A., Ravikumar, P., Sanghavi, S.: A dirty model for multiple sparse regression. IEEE Trans. Inf. Theory 59(12), 7947\u20137968 (2013)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"49_CR5","unstructured":"Lee, S., Zhu, J., Xing, E.P.: Adaptive multi-task lasso: with application to eQTL detection. In: NIPS, pp. 1306\u20131314 (2010)"},{"issue":"4\u20135","key":"49_CR6","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1080\/13546800903059829","volume":"14","author":"SG Potkin","year":"2009","unstructured":"Potkin, S.G., et al.: Genome-wide strategies for discovering genetic influences on cognition and cognitive disorders: methodological considerations. Cogn. Neuropsychiatry 14(4\u20135), 391\u2013418 (2009)","journal-title":"Cogn. Neuropsychiatry"},{"issue":"2","key":"49_CR7","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/s11682-013-9262-z","volume":"8","author":"L Shen","year":"2014","unstructured":"Shen, L., Thompson, P.M., Potkin, S.G., Bertram, L., Farrer, L.A., et al.: Genetic analysis of quantitative phenotypes in AD and MCI: imaging, cognition and biomarkers. Brain Imaging Behav. 8(2), 183\u2013207 (2014)","journal-title":"Brain Imaging Behav."},{"issue":"2","key":"49_CR8","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1093\/bioinformatics\/btr649","volume":"28","author":"H Wang","year":"2012","unstructured":"Wang, H., et al.: Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort. Bioinformatics 28(2), 229\u2013237 (2012)","journal-title":"Bioinformatics"},{"issue":"3","key":"49_CR9","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/j.jalz.2010.03.007","volume":"6","author":"MW Weiner","year":"2010","unstructured":"Weiner, M.W., et al.: The Alzheimer\u2019s disease neuroimaging initiative: progress report and future plans. Alzheimer\u2019s Dement. 6(3), 202\u2013211 (2010)","journal-title":"Alzheimer\u2019s Dement."},{"issue":"3","key":"49_CR10","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1093\/biostatistics\/kxp008","volume":"10","author":"DM Witten","year":"2009","unstructured":"Witten, D.M., Tibshirani, R., Hastie, T.: A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Biostatistics 10(3), 515\u201334 (2009)","journal-title":"Biostatistics"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2019"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-32251-9_49","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T00:18:17Z","timestamp":1728519497000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-32251-9_49"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030322502","9783030322519"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-32251-9_49","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"10 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenzhen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.miccai2019.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1730","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"539","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"31% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.07","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6.31","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}