{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T19:29:31Z","timestamp":1725910171195},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319671581"},{"type":"electronic","value":"9783319671598"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-67159-8_4","type":"book-chapter","created":{"date-parts":[[2017,9,1]],"date-time":"2017-09-01T07:52:18Z","timestamp":1504252338000},"page":"25-34","source":"Crossref","is-referenced-by-count":3,"title":["Discriminative Log-Euclidean Kernels for Learning on Brain Networks"],"prefix":"10.1007","author":[{"given":"Jonathan","family":"Young","sequence":"first","affiliation":[]},{"given":"Du","family":"Lei","sequence":"additional","affiliation":[]},{"given":"Andrea","family":"Mechelli","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,9,2]]},"reference":[{"key":"4_CR1","doi-asserted-by":"crossref","unstructured":"Arsigny, V., Fillard, P., Pennec, X., Ayache, N.: Fast and simple computations on tensors with log-euclidean metrics. Research report RR-5584, INRIA (2005)","DOI":"10.1007\/11566465_15"},{"key":"4_CR2","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.neuroimage.2014.04.009","volume":"97","author":"MS \u00c7etin","year":"2014","unstructured":"\u00c7etin, M.S., Christensen, F., Abbott, C.C., Stephen, J.M., Mayer, A.R., Caive, J.M., Bustillo, J.R., Pearlson, G.D., Calhoun, V.D.: Thalamus and posterior temporal lobe show greater inter-network connectivity at rest and across sensory paradigms in schizophrenia. Neuroimage 97, 117\u2013126 (2014)","journal-title":"Neuroimage"},{"key":"4_CR3","doi-asserted-by":"crossref","unstructured":"Dodero, L., Minh, H.Q., San Biagio, M., Murino, V., Sona, D.: Kernel-based classification for brain connectivity graphs on the Riemannian manifold of positive definite matrices. In: 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), pp. 42\u201345, April 2015","DOI":"10.1109\/ISBI.2015.7163812"},{"key":"4_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"604","DOI":"10.1007\/978-3-319-24574-4_72","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2014 MICCAI 2015","author":"L Dodero","year":"2015","unstructured":"Dodero, L., Sambataro, F., Murino, V., Sona, D.: Kernel-based analysis of functional brain connectivity on grassmann manifold. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 604\u2013611. Springer, Cham (2015). doi: 10.1007\/978-3-319-24574-4_72"},{"issue":"12","key":"4_CR5","doi-asserted-by":"crossref","first-page":"2464","DOI":"10.1109\/TPAMI.2015.2414422","volume":"37","author":"S Jayasumana","year":"2015","unstructured":"Jayasumana, S., Hartley, R., Salzmann, M., Li, H., Harandi, M.: Kernel methods on riemannian manifolds with gaussian RBF kernels. IEEE Trans. Pattern Anal. Mach. Intell. 37(12), 2464\u20132477 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"11","key":"4_CR6","doi-asserted-by":"crossref","first-page":"1213","DOI":"10.1002\/hbm.20341","volume":"28","author":"A Mechelli","year":"2007","unstructured":"Mechelli, A., Allen, P., Amaro, E., Fu, C.H.Y., Williams, S.C.R., Brammer, M.J., Johns, L.C., McGuire, P.K.: Misattribution of speech and impaired connectivity in patients with auditory verbal hallucinations. Hum. Brain Mapp. 28(11), 1213\u20131222 (2007)","journal-title":"Hum. Brain Mapp."},{"key":"4_CR7","unstructured":"Minka, T.P.: Expectation propagation for approximate Bayesian inference. In: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence (UAI 2001), pp. 362\u2013369. Morgan Kaufmann Publishers Inc. (2001)"},{"key":"4_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1007\/978-3-319-10470-6_51","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014","author":"B Ng","year":"2014","unstructured":"Ng, B., Dressler, M., Varoquaux, G., Poline, J.B., Greicius, M., Thirion, B.: Transport on riemannian manifold for functional connectivity-based classification. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014. LNCS, vol. 8674, pp. 405\u2013412. Springer, Cham (2014). doi: 10.1007\/978-3-319-10470-6_51"},{"key":"4_CR9","first-page":"2035","volume":"9","author":"H Nickisch","year":"2008","unstructured":"Nickisch, H., Rasmussen, C.: Approximations for binary gaussian process classification. J. Mach. Learn. Res. 9, 2035\u20132078 (2008)","journal-title":"J. Mach. Learn. Res."},{"issue":"1","key":"4_CR10","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1007\/s11263-005-3222-z","volume":"66","author":"X Pennec","year":"2006","unstructured":"Pennec, X., Fillard, P., Ayache, N.: A riemannian framework for tensor computing. Int. J. Comput. Vis. 66(1), 41\u201366 (2006)","journal-title":"Int. J. Comput. Vis."},{"issue":"5","key":"4_CR11","doi-asserted-by":"crossref","first-page":"1110","DOI":"10.1016\/j.neubiorev.2010.11.004","volume":"35","author":"W Pettersson-Yeo","year":"2011","unstructured":"Pettersson-Yeo, W., Allen, P., Benetti, S., McGuire, P., Mechelli, A.: Dysconnectivity in schizophrenia: where are we now? Neurosci. Biobehav. Rev. 35(5), 1110\u20131124 (2011)","journal-title":"Neurosci. Biobehav. Rev."},{"key":"4_CR12","volume-title":"Gaussian Processes for Machine Learning","author":"CE Rasmussen","year":"2006","unstructured":"Rasmussen, C.E., Williams, C.K.I.: Gaussian Processes for Machine Learning. MIT Press, Cambridge (2006)"},{"issue":"1","key":"4_CR13","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1001\/jamapsychiatry.2014.1734","volume":"72","author":"DK Sarpal","year":"2015","unstructured":"Sarpal, D.K., Robinson, D.G., Lencz, T., Argyelan, M., Ikuta, T., Karlsgodt, K., Gallego, J.A., Kane, J.M., Szeszko, P.R., Malhotra, A.K.: Antipsychotic treatment and functional connectivity of the striatum in first-episode schizophrenia. JAMA Psych. 72(1), 5\u201313 (2015)","journal-title":"JAMA Psych."},{"issue":"2","key":"4_CR14","doi-asserted-by":"crossref","first-page":"875","DOI":"10.1016\/j.neuroimage.2010.08.063","volume":"54","author":"SM Smith","year":"2011","unstructured":"Smith, S.M., Miller, K.L., Salimi-Khorshidi, G., Webster, M., Beckmann, C.F., Nichols, T.E., Ramsey, J.D., Woolrich, M.W.: Network modelling methods for FMRI. Neuroimage 54(2), 875\u2013891 (2011)","journal-title":"Neuroimage"},{"key":"4_CR15","unstructured":"Sra, S.: Positive definite matrices and the S-divergence, October 2011. arXiv:1110.1773 [math, stat]"},{"issue":"1","key":"4_CR16","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1006\/nimg.2001.0978","volume":"15","author":"N Tzourio-Mazoyer","year":"2002","unstructured":"Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., Joliot, M.: Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 15(1), 273\u2013289 (2002)","journal-title":"Neuroimage"},{"issue":"5","key":"4_CR17","doi-asserted-by":"crossref","first-page":"1020","DOI":"10.1109\/TNNLS.2015.2435154","volume":"27","author":"J Zhang","year":"2016","unstructured":"Zhang, J., Wang, L., Zhou, L., Li, W.: Learning discriminative stein kernel for SPD matrices and its applications. IEEE Trans. Neural Netw. Learn. Syst. 27(5), 1020\u20131033 (2016)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."}],"container-title":["Lecture Notes in Computer Science","Connectomics in NeuroImaging"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-67159-8_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,2]],"date-time":"2019-10-02T21:35:57Z","timestamp":1570052157000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-67159-8_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319671581","9783319671598"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-67159-8_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}