{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T04:11:55Z","timestamp":1743135115047,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319661810"},{"type":"electronic","value":"9783319661827"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-66182-7_33","type":"book-chapter","created":{"date-parts":[[2017,9,3]],"date-time":"2017-09-03T19:32:52Z","timestamp":1504467172000},"page":"283-290","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Mixed Metric Random Forest for Dense Correspondence of Cone-Beam Computed Tomography Images"],"prefix":"10.1007","author":[{"given":"Yuru","family":"Pei","sequence":"first","affiliation":[]},{"given":"Yunai","family":"Yi","sequence":"additional","affiliation":[]},{"given":"Gengyu","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Yuke","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Gui","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Tianmin","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Hongbin","family":"Zha","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,9,4]]},"reference":[{"issue":"11","key":"33_CR1","doi-asserted-by":"publisher","first-page":"2274","DOI":"10.1109\/TPAMI.2012.120","volume":"34","author":"R Achanta","year":"2012","unstructured":"Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., S\u00fcsstrunk, S.: SLIC superpixels compared to state-of-the-art superpixel methods. IEEE Trans. PAMI 34(11), 2274\u20132282 (2012)","journal-title":"IEEE Trans. PAMI"},{"issue":"8","key":"33_CR2","doi-asserted-by":"publisher","first-page":"1208","DOI":"10.1109\/TMI.2009.2013136","volume":"28","author":"R Bhagalia","year":"2009","unstructured":"Bhagalia, R., Fessler, J.A., Kim, B.: Accelerated nonrigid intensity-based image registration using importance sampling. IEEE Trans. MI 28(8), 1208\u20131216 (2009)","journal-title":"IEEE Trans. MI"},{"issue":"1","key":"33_CR3","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"issue":"4","key":"33_CR4","doi-asserted-by":"publisher","first-page":"S120","DOI":"10.1016\/j.ajodo.2009.04.021","volume":"137","author":"LH Cevidanes","year":"2010","unstructured":"Cevidanes, L.H., Motta, A., Proffit, W.R., Ackerman, J.L., Styner, M.: Cranial base superimposition for 3-dimensional evaluation of soft-tissue changes. Am. J. Orthod. Dentofac. Orthoped. 137(4), S120\u2013S129 (2010)","journal-title":"Am. J. Orthod. Dentofac. Orthoped."},{"key":"33_CR5","doi-asserted-by":"publisher","first-page":"940","DOI":"10.1016\/j.neuroimage.2010.09.018","volume":"54","author":"P Coup\u00e9","year":"2011","unstructured":"Coup\u00e9, P., Manj\u00f3n, J., Fonov, V., Pruessner, J., Robles, M., Collins, D.L.: Patch-based segmentation using expert priors: application to hippocampus and ventricle segmentation. NeuroImage 54, 940\u2013954 (2011)","journal-title":"NeuroImage"},{"issue":"23","key":"33_CR6","first-page":"81","volume":"7","author":"A Criminisi","year":"2012","unstructured":"Criminisi, A., et al.: Decision forests: a unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning. Found. Trends Comput. Graph. Vis. 7(23), 81\u2013227 (2012)","journal-title":"Found. Trends Comput. Graph. Vis."},{"key":"33_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1007\/978-3-319-24888-2_12","volume-title":"Machine Learning in Medical Imaging","author":"F Kanavati","year":"2015","unstructured":"Kanavati, F., Tong, T., Misawa, K., Fujiwara, M., Mori, K., Rueckert, D., Glocker, B.: Supervoxel classification forests for estimating pairwise image correspondences. In: Zhou, L., Wang, L., Wang, Q., Shi, Y. (eds.) MLMI 2015. LNCS, vol. 9352, pp. 94\u2013101. Springer, Cham (2015). doi:10.1007\/978-3-319-24888-2_12"},{"issue":"2","key":"33_CR8","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1109\/42.563664","volume":"16","author":"F Maes","year":"1997","unstructured":"Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., Suetens, P.: Multimodality image registration by maximization of mutual information. IEEE Trans. MI 16(2), 187\u2013198 (1997)","journal-title":"IEEE Trans. MI"},{"key":"33_CR9","doi-asserted-by":"crossref","unstructured":"Park, J.H., et al.: 3-dimensional cone-beam computed tomography superimposition: a review. In: Seminars in Orthodontics, vol. 21, pp. 263\u2013273. Elsevier (2015)","DOI":"10.1053\/j.sodo.2015.07.007"},{"key":"33_CR10","doi-asserted-by":"crossref","unstructured":"Pei, Y., Kim, T., Zha, H.: Unsupervised random forest manifold alignment for lipreading. In: IEEE ICCV (2013)","DOI":"10.1109\/ICCV.2013.23"},{"key":"33_CR11","doi-asserted-by":"publisher","first-page":"1218","DOI":"10.1109\/TBME.2016.2598584","volume":"64","author":"Y Pei","year":"2016","unstructured":"Pei, Y., Ma, G., Chen, G., Zhang, X., Xu, T., Zha, H.: Superimposition of cone-beam computed tomography images by joint embedding. IEEE Trans. BME 64, 1218\u20131227 (2016)","journal-title":"IEEE Trans. BME"},{"key":"33_CR12","doi-asserted-by":"crossref","unstructured":"Rodol\u00e0, E., Rota Bulo, S., Windheuser, T., Vestner, M., Cremers, D.: Dense non-rigid shape correspondence using random forests. In: CVPR, pp. 4177\u20134184 (2014)","DOI":"10.1109\/CVPR.2014.532"},{"key":"33_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/978-3-642-40760-4_32","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2013","author":"L Wang","year":"2013","unstructured":"Wang, L., et al.: Automated segmentation of CBCT image using spiral CT atlases and convex optimization. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013. LNCS, vol. 8151, pp. 251\u2013258. Springer, Heidelberg (2013). doi:10.1007\/978-3-642-40760-4_32"},{"issue":"6","key":"33_CR14","first-page":"1345","volume":"27","author":"X Zhu","year":"2016","unstructured":"Zhu, X., Loy, C.C., Gong, S.: Constrained clustering with imperfect oracles. IEEE Trans. NNLS 27(6), 1345\u20131357 (2016)","journal-title":"IEEE Trans. NNLS"},{"issue":"8","key":"33_CR15","doi-asserted-by":"publisher","first-page":"1262","DOI":"10.1016\/j.media.2014.06.010","volume":"18","author":"D Zikic","year":"2014","unstructured":"Zikic, D., Glocker, B., Criminisi, A.: Encoding atlases by randomized classification forests for efficient multi-atlas label propagation. Med. Image Anal. 18(8), 1262\u20131273 (2014)","journal-title":"Med. Image Anal."}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2212 MICCAI 2017"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-66182-7_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T00:18:16Z","timestamp":1662337096000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-66182-7_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319661810","9783319661827"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-66182-7_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"4 September 2017","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":"Quebec City, QC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.miccai2017.org\/","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"}]}}