{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T12:14:05Z","timestamp":1725538445050},"publisher-location":"Berlin, Heidelberg","reference-count":8,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642042676"},{"type":"electronic","value":"9783642042683"}],"license":[{"start":{"date-parts":[[2009,1,1]],"date-time":"2009-01-01T00:00:00Z","timestamp":1230768000000},"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":[[2009]]},"DOI":"10.1007\/978-3-642-04268-3_120","type":"book-chapter","created":{"date-parts":[[2009,10,1]],"date-time":"2009-10-01T11:42:56Z","timestamp":1254397376000},"page":"975-983","source":"Crossref","is-referenced-by-count":4,"title":["Robust Extrapolation Scheme for Fast Estimation of 3D Ising Field Partition Functions: Application to Within-Subject fMRI Data Analysis"],"prefix":"10.1007","author":[{"given":"Laurent","family":"Risser","sequence":"first","affiliation":[]},{"given":"Thomas","family":"Vincent","sequence":"additional","affiliation":[]},{"given":"Philippe","family":"Ciuciu","sequence":"additional","affiliation":[]},{"given":"J\u00e9r\u00f4me","family":"Idier","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"doi-asserted-by":"crossref","unstructured":"Vincent, T., Ciuciu, P., Idier, J.: Spatial mixture modelling for the joint detection-estimation of brain activity in fMRI. In: 32th Proc. IEEE ICASSP, Honolulu, Hawaii, vol.\u00a0I, pp. 325\u2013328 (2007)","key":"120_CR1","DOI":"10.1109\/ICASSP.2007.366682"},{"key":"120_CR2","first-page":"831","volume":"6","author":"X. Meng","year":"1996","unstructured":"Meng, X., Wong, W.: Simulating ratios of normalizing constants via a simple identity: a theoretical exploration. Statistica Sinica\u00a06, 831\u2013860 (1996)","journal-title":"Statistica Sinica"},{"key":"120_CR3","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1214\/ss\/1028905934","volume":"13","author":"A. Gelman","year":"1998","unstructured":"Gelman, A., Meng, X.L.: Simulating normalizing constants: from importance sampling to bridge sampling to path sampling. Statistical Science\u00a013, 163\u2013185 (1998)","journal-title":"Statistical Science"},{"key":"120_CR4","doi-asserted-by":"publisher","first-page":"805","DOI":"10.1111\/1467-9868.00362","volume":"64","author":"S. Fern\u00e1ndez","year":"2002","unstructured":"Fern\u00e1ndez, S., Green, P.J.: Modelling spatially correlated data via mixtures: a Bayesian approach. J. R. Statist. Soc. B\u00a064, 805\u2013826 (2002)","journal-title":"J. R. Statist. Soc. B"},{"key":"120_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TMI.2004.836545","volume":"24","author":"M. Woolrich","year":"2005","unstructured":"Woolrich, M., Behrens, T., Beckmann, C., Smith, S.: Mixture models with adaptive spatial regularization for segmentation with an application to fMRI data. IEEE Trans. Med. Imag.\u00a024, 1\u201311 (2005)","journal-title":"IEEE Trans. Med. Imag."},{"key":"120_CR6","doi-asserted-by":"publisher","first-page":"941","DOI":"10.1016\/j.neuroimage.2008.02.017","volume":"41","author":"S. Makni","year":"2008","unstructured":"Makni, S., Idier, J., Vincent, T., Thirion, B., Dehaene-Lambertz, G., Ciuciu, P.: A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI. Neuroimage\u00a041, 941\u2013969 (2008)","journal-title":"Neuroimage"},{"key":"120_CR7","doi-asserted-by":"publisher","first-page":"678","DOI":"10.1002\/hbm.20210","volume":"27","author":"B. Thirion","year":"2006","unstructured":"Thirion, B., Flandin, G., Pinel, P., Roche, A., Ciuciu, P., Poline, J.B.: Dealing with the shortcomings of spatial normalization: Multi-subject parcellation of fMRI datasets. Hum. Brain Mapp.\u00a027, 678\u2013693 (2006)","journal-title":"Hum. Brain Mapp."},{"unstructured":"Trillon, A., Idier, J., Peureux, P.: Unsupervised Bayesian 3D reconstruction for non-destructive evaluation using gammagraphy. In: EUSIPCO, Suisse (2008)","key":"120_CR8"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2009"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-04268-3_120","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,10]],"date-time":"2019-03-10T01:59:27Z","timestamp":1552183167000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-04268-3_120"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"ISBN":["9783642042676","9783642042683"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-04268-3_120","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2009]]}}}