{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T04:30:20Z","timestamp":1743136220837,"version":"3.40.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030004996"},{"type":"electronic","value":"9783030005009"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-00500-9_5","type":"book-chapter","created":{"date-parts":[[2018,9,14]],"date-time":"2018-09-14T10:56:45Z","timestamp":1536922605000},"page":"39-47","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features"],"prefix":"10.1007","author":[{"given":"Florian","family":"Tilquin","sequence":"first","affiliation":[]},{"given":"Pierre-Henri","family":"Conze","sequence":"additional","affiliation":[]},{"given":"Patrick","family":"Pessaux","sequence":"additional","affiliation":[]},{"given":"Mathieu","family":"Lamard","sequence":"additional","affiliation":[]},{"given":"Gwenol\u00e9","family":"Quellec","sequence":"additional","affiliation":[]},{"given":"Vincent","family":"Noblet","sequence":"additional","affiliation":[]},{"given":"Fabrice","family":"Heitz","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,15]]},"reference":[{"key":"5_CR1","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.media.2016.06.031","volume":"33","author":"JA Schnabel","year":"2016","unstructured":"Schnabel, J.A., Heinrich, M.P., Papie\u017c, B.W., Brady, J.M.: Advances and challenges in deformable image registration: from image fusion to complex motion modelling. Med. Image Anal. 33, 145\u2013148 (2016)","journal-title":"Med. Image Anal."},{"key":"5_CR2","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1016\/j.patcog.2016.09.026","volume":"63","author":"F Kanavati","year":"2017","unstructured":"Kanavati, F., Tong, T., Misawa, K., Fujiwara, M., Mori, K., Rueckert, D., Glocker, B.: Supervoxel classification forests for estimating pairwise image correspondences. Pattern Recogn. 63, 561\u2013569 (2017)","journal-title":"Pattern Recogn."},{"key":"5_CR3","doi-asserted-by":"crossref","unstructured":"Conze, P.H., Tilquin, F., Noblet, V., Rousseau, F., Heitz, F., Pessaux, P.: Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration. In: International Symposium on Biomedical Imaging (2017)","DOI":"10.1109\/ISBI.2017.7950567"},{"issue":"8","key":"5_CR4","doi-asserted-by":"publisher","first-page":"4068","DOI":"10.1109\/TIP.2017.2708504","volume":"26","author":"R Giraud","year":"2017","unstructured":"Giraud, R., Ta, V.T., Bugeau, A., Coup\u00e9, P., Papadakis, N.: Superpatchmatch: an algorithm for robust correspondences using superpixel patches. IEEE Trans. Image Process. 26(8), 4068\u20134078 (2017)","journal-title":"IEEE Trans. Image Process."},{"issue":"11","key":"5_CR5","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., Susstrunk, S.: SLIC superpixels compared to state-of-the-art superpixel methods. IEEE Trans. Pattern Anal. Mach. Intell. 34(11), 2274\u20132282 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"5_CR6","doi-asserted-by":"crossref","unstructured":"Fan, H., Xiang, J., Chen, Z.: Visual tracking by local superpixel matching with Markov random field. In: Pacific Rim Conference on Multimedia (2016)","DOI":"10.1007\/978-3-319-48890-5_1"},{"issue":"3","key":"5_CR7","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1007\/s11263-013-0681-5","volume":"107","author":"H Lombaert","year":"2014","unstructured":"Lombaert, H., Grady, L., Pennec, X., Ayache, N., Cheriet, F.: Spectral log-demons: diffeomorphic image registration with very large deformations. Int. J. Comput. Vis. 107(3), 254\u2013271 (2014)","journal-title":"Int. J. Comput. Vis."},{"key":"5_CR8","doi-asserted-by":"crossref","unstructured":"Belkin, M., Niyogi, P.: Laplacian Eigenmaps and spectral techniques for embedding and clustering. In: Advances in Neural Information Processing Systems (2002)","DOI":"10.7551\/mitpress\/1120.003.0080"},{"key":"5_CR9","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1007\/978-3-642-18421-5_11","volume-title":"Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging","author":"Antonio Criminisi","year":"2011","unstructured":"Criminisi, A., Shotton, J., Robertson, D., Konukoglu, E.: Regression forests for efficient anatomy detection and localization in CT studies. In: MICCAI Workshop on Medical Computer Vision, pp. 106\u2013117 (2010)"},{"issue":"1","key":"5_CR10","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1090\/qam\/42792","volume":"9","author":"WE Arnoldi","year":"1951","unstructured":"Arnoldi, W.E.: The principle of minimized iterations in the solution of the matrix eigenvalue problem. Q. Appl. Math. 9(1), 17\u201329 (1951)","journal-title":"Q. Appl. Math."},{"key":"5_CR11","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1002\/nav.3800020109","volume":"2","author":"HW Kuhn","year":"1955","unstructured":"Kuhn, H.W.: The Hungarian method for the assignment problem. Naval Res. Logist. 2, 83\u201397 (1955)","journal-title":"Naval Res. Logist."},{"issue":"1","key":"5_CR12","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."}],"container-title":["Lecture Notes in Computer Science","Patch-Based Techniques in Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00500-9_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T09:52:43Z","timestamp":1720605163000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00500-9_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030004996","9783030005009"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00500-9_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"15 September 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Patch-MI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Patch-based Techniques in Medical Imaging","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Granada","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwptmi2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.dzne.de\/aktuelles\/veranstaltungen\/wissenschaftliche-veranstaltungen\/patchmi\/","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"}]}}