{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T21:29:32Z","timestamp":1743024572256,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319471563"},{"type":"electronic","value":"9783319471570"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-47157-0_10","type":"book-chapter","created":{"date-parts":[[2016,9,30]],"date-time":"2016-09-30T09:09:24Z","timestamp":1475226564000},"page":"77-85","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Joint Discriminative and Representative Feature Selection for Alzheimer\u2019s Disease Diagnosis"],"prefix":"10.1007","author":[{"given":"Xiaofeng","family":"Zhu","sequence":"first","affiliation":[]},{"given":"Heung-Il","family":"Suk","sequence":"additional","affiliation":[]},{"given":"Kim-Han","family":"Thung","sequence":"additional","affiliation":[]},{"given":"Yingying","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Guorong","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Dinggang","family":"Shen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,10,1]]},"reference":[{"key":"10_CR1","volume-title":"Pattern Classification","author":"RO Duda","year":"2012","unstructured":"Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification. Wiley, Hoboken (2012)"},{"issue":"11","key":"10_CR2","doi-asserted-by":"publisher","first-page":"2765","DOI":"10.1109\/TPAMI.2013.57","volume":"35","author":"E Elhamifar","year":"2013","unstructured":"Elhamifar, E., Vidal, R.: Sparse subspace clustering: algorithm, theory, and applications. IEEE Trans. Pattern Anal. Mach. Intell. 35(11), 2765\u20132781 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"9406","key":"10_CR3","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1016\/S0140-6736(04)15441-X","volume":"363","author":"NC Fox","year":"2004","unstructured":"Fox, N.C., Schott, J.M.: Imaging cerebral atrophy: normal ageing to Alzheimer\u2019s disease. Lancet 363(9406), 392\u2013394 (2004)","journal-title":"Lancet"},{"key":"10_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1007\/978-3-319-10581-9_10","volume-title":"Machine Learning in Medical Imaging","author":"R Guerrero","year":"2014","unstructured":"Guerrero, R., Ledig, C., Rueckert, D.: Manifold alignment and transfer learning for classification of Alzheimer\u2019s disease. In: Wu, G., Zhang, D., Zhou, L. (eds.) MLMI 2014. LNCS, vol. 8679, pp. 77\u201384. Springer, Heidelberg (2014)"},{"key":"10_CR5","unstructured":"He, X., Cai, D., Niyogi, P.: Laplacian score for feature selection. In: NIPS, pp. 507\u2013514 (2005)"},{"key":"10_CR6","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1016\/j.neurobiolaging.2016.07.005","volume":"46","author":"L Huang","year":"2016","unstructured":"Huang, L., Jin, Y., Gao, Y., Thung, K., Shen, D., Initiative, A.D.N., et al.: Longitudinal clinical score prediction in alzheimers disease with soft-split sparse regression based random forest. Neurobiol. Aging 46, 180\u2013191 (2016)","journal-title":"Neurobiol. Aging"},{"issue":"1","key":"10_CR7","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1109\/TPAMI.2012.88","volume":"35","author":"G Liu","year":"2013","unstructured":"Liu, G., Lin, Z., Yan, S., Sun, J., Yu, Y., Ma, Y.: Robust recovery of subspace structures by low-rank representation. IEEE Trans. Pattern Anal. Mach. Intell. 35(1), 171\u2013184 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"4","key":"10_CR8","doi-asserted-by":"publisher","first-page":"1415","DOI":"10.1016\/j.neuroimage.2008.10.031","volume":"44","author":"C Misra","year":"2009","unstructured":"Misra, C., Fan, Y., Davatzikos, C.: Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNI. NeuroImage 44(4), 1415\u20131422 (2009)","journal-title":"NeuroImage"},{"issue":"1","key":"10_CR9","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1007\/s10489-006-0032-0","volume":"27","author":"Y Qin","year":"2007","unstructured":"Qin, Y., Zhang, S., Zhu, X., Zhang, J., Zhang, C.: Semi-parametric optimization for missing data imputation. Appl. Intell. 27(1), 79\u201388 (2007)","journal-title":"Appl. Intell."},{"key":"10_CR10","doi-asserted-by":"publisher","first-page":"68","DOI":"10.3389\/fnsys.2012.00068","volume":"6","author":"JR Sato","year":"2012","unstructured":"Sato, J.R., Hoexter, M.Q., Fujita, A., Rohde, L.A.: Evaluation of pattern recognition and feature extraction methods in ADHD prediction. Front. Syst. Neurosci. 6, 68 (2012)","journal-title":"Front. Syst. Neurosci."},{"issue":"3","key":"10_CR11","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1007\/s12021-014-9241-6","volume":"13","author":"H Suk","year":"2015","unstructured":"Suk, H., Wee, C., Lee, S., Shen, D.: Supervised discriminative group sparse representation for mild cognitive impairment diagnosis. Neuroinformatics 13(3), 277\u2013295 (2015)","journal-title":"Neuroinformatics"},{"key":"10_CR12","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1016\/j.neuroimage.2016.01.005","volume":"129","author":"H Suk","year":"2016","unstructured":"Suk, H., Wee, C., Lee, S., Shen, D.: State-space model with deep learning for functional dynamics estimation in resting-state fMRI. NeuroImage 129, 292\u2013307 (2016)","journal-title":"NeuroImage"},{"key":"10_CR13","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1016\/j.neuroimage.2014.01.033","volume":"91","author":"K Thung","year":"2014","unstructured":"Thung, K., Wee, C., Yap, P., Shen, D.: Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion. NeuroImage 91, 386\u2013400 (2014)","journal-title":"NeuroImage"},{"key":"10_CR14","doi-asserted-by":"crossref","unstructured":"Thung, K., Wee, C., Yap, P., Shen, D.: Identification of progressive mild cognitive impairment patients using incomplete longitudinal MRI scans. Brain Struct. Funct. 1\u201317 (2015)","DOI":"10.1007\/s00429-015-1140-6"},{"key":"10_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1007\/978-3-642-23626-6_15","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2011","author":"H Wang","year":"2011","unstructured":"Wang, H., Nie, F., Huang, H., Risacher, S., Saykin, A.J., Shen, L.: Identifying AD-sensitive and cognition-relevant imaging biomarkers via joint classification and regression. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part III. LNCS, vol. 6893, pp. 115\u2013123. Springer, Heidelberg (2011)"},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"Zhang, C., Qin, Y., Zhu, X., Zhang, J., Zhang, S.: Clustering-based missing value imputation for data preprocessing. In: INDIN, pp. 1081\u20131086 (2006)","DOI":"10.1109\/INDIN.2006.275767"},{"issue":"2","key":"10_CR17","doi-asserted-by":"publisher","first-page":"895","DOI":"10.1016\/j.neuroimage.2011.09.069","volume":"59","author":"D Zhang","year":"2012","unstructured":"Zhang, D., Shen, D.: Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer\u2019s disease. NeuroImage 59(2), 895\u2013907 (2012)","journal-title":"NeuroImage"},{"issue":"2","key":"10_CR18","doi-asserted-by":"publisher","first-page":"438","DOI":"10.1016\/j.patcog.2014.08.006","volume":"48","author":"P Zhu","year":"2015","unstructured":"Zhu, P., Zuo, W., Zhang, L., Hu, Q., Shiu, S.C.K.: Unsupervised feature selection by regularized self-representation. Pattern Recogn. 48(2), 438\u2013446 (2015)","journal-title":"Pattern Recogn."},{"key":"10_CR19","doi-asserted-by":"crossref","unstructured":"Zhu, X., Suk, H., Lee, S., Shen, D.: Canonical feature selection for joint regression and multi-class identification in Alzheimers disease diagnosis. Brain Imaging Behav. 1\u201311 (2015)","DOI":"10.1007\/s11682-015-9430-4"},{"key":"10_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1007\/978-3-319-10470-6_21","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014","author":"X Zhu","year":"2014","unstructured":"Zhu, X., Suk, H.-I., Shen, D.: Multi-modality canonical feature selection for Alzheimer\u2019s disease diagnosis. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014, Part II. LNCS, vol. 8674, pp. 162\u2013169. Springer, Heidelberg (2014)"},{"key":"10_CR21","unstructured":"Zhu, X., Suk, H., Wang, L., Lee, S.W., Shen, D., Alzheimer\u2019s Disease Neuroimaging Initiative, et al.: A novel relational regularization feature selection method for joint regression and classification in ad diagnosis. Med. Image Anal. (2015)"},{"issue":"1","key":"10_CR22","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1109\/TKDE.2010.99","volume":"23","author":"X Zhu","year":"2011","unstructured":"Zhu, X., Zhang, S., Jin, Z., Zhang, Z., Xu, Z.: Missing value estimation for mixed-attribute data sets. IEEE Trans. Knowl. Data Eng. 23(1), 110\u2013121 (2011)","journal-title":"IEEE Trans. Knowl. Data Eng."}],"container-title":["Lecture Notes in Computer Science","Machine Learning in Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-47157-0_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T12:10:29Z","timestamp":1710245429000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-47157-0_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319471563","9783319471570"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-47157-0_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"1 October 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MLMI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Machine Learning in Medical Imaging","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Athens","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mlmi-med2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}