{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T16:44:18Z","timestamp":1765039458833},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030203504"},{"type":"electronic","value":"9783030203511"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-20351-1_15","type":"book-chapter","created":{"date-parts":[[2019,5,22]],"date-time":"2019-05-22T11:53:24Z","timestamp":1558526004000},"page":"195-207","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Learning Low-Dimensional Representations of Shape Data Sets with Diffeomorphic Autoencoders"],"prefix":"10.1007","author":[{"name":"the Alzheimer\u2019s Disease Neuroimaging Initiative","sequence":"first","affiliation":[]},{"given":"Alexandre","family":"B\u00f4ne","sequence":"first","affiliation":[]},{"given":"Maxime","family":"Louis","sequence":"additional","affiliation":[]},{"given":"Olivier","family":"Colliot","sequence":"additional","affiliation":[]},{"given":"Stanley","family":"Durrleman","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,5,22]]},"reference":[{"key":"15_CR1","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1023\/B:VISI.0000043755.93987.aa","volume":"61","author":"F Beg","year":"2005","unstructured":"Beg, F., Miller, M., Trouv\u00e9, A., Younes, L.: Computing large deformation metric mappings via geodesic flows of diffeomorphisms. IJCV 61, 139\u2013157 (2005)","journal-title":"IJCV"},{"key":"15_CR2","doi-asserted-by":"crossref","unstructured":"Dalca, A.V., Balakrishnan, G., Guttag, J., Sabuncu, M.R.: Unsupervised learning for fast probabilistic diffeomorphic registration. arXiv preprint: \n                      arXiv:1805.04605\n                      \n                     (2018)","DOI":"10.1007\/978-3-030-00928-1_82"},{"key":"15_CR3","unstructured":"Durrleman, S.: Statistical models of currents for measuring the variability of anatomical curves, surfaces and their evolution. Ph.D. thesis (2010)"},{"key":"15_CR4","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.neuroimage.2014.06.043","volume":"101","author":"S Durrleman","year":"2014","unstructured":"Durrleman, S., et al.: Morphometry of anatomical shape complexes with dense deformations and sparse parameters. NeuroImage 101, 35\u201349 (2014)","journal-title":"NeuroImage"},{"key":"15_CR5","doi-asserted-by":"publisher","first-page":"458","DOI":"10.1016\/j.media.2016.08.011","volume":"35","author":"P Gori","year":"2017","unstructured":"Gori, P., et al.: A Bayesian framework for joint morphometry of surface and curve meshes in multi-object complexes. Med. Image Anal. 35, 458\u2013474 (2017)","journal-title":"Med. Image Anal."},{"issue":"1","key":"15_CR6","doi-asserted-by":"publisher","first-page":"802","DOI":"10.1137\/16M1076733","volume":"11","author":"B Gris","year":"2018","unstructured":"Gris, B., Durrleman, S., Trouv\u00e9, A.: A sub-riemannian modular framework for diffeomorphism-based analysis of shape ensembles. SIAM J. Imaging Sci. 11(1), 802\u2013833 (2018)","journal-title":"SIAM J. Imaging Sci."},{"issue":"2","key":"15_CR7","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1023\/A:1007665907178","volume":"37","author":"MI Jordan","year":"1999","unstructured":"Jordan, M.I., Ghahramani, Z., Jaakkola, T.S., Saul, L.K.: An introduction to variational methods for graphical models. Mach. Learn. 37(2), 183\u2013233 (1999)","journal-title":"Mach. Learn."},{"key":"15_CR8","unstructured":"Kingma, D.P., Welling, M.: Auto-encoding variational bayes. Stat 1050, 10 (2014)"},{"issue":"2","key":"15_CR9","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/s10851-005-3624-0","volume":"24","author":"MI Miller","year":"2006","unstructured":"Miller, M.I., Trouv\u00e9, A., Younes, L.: Geodesic shooting for computational anatomy. J. Math. Imaging Vis. 24(2), 209\u2013228 (2006)","journal-title":"J. Math. Imaging Vis."},{"key":"15_CR10","unstructured":"Paszke, A., et al.: Automatic differentiation in pytorch (2017)"},{"issue":"1","key":"15_CR11","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1007\/s10851-006-6228-4","volume":"25","author":"X Pennec","year":"2006","unstructured":"Pennec, X.: Intrinsic statistics on riemannian manifolds: basic tools for geometric measurements. J. Math. Imaging Vis. 25(1), 127\u2013154 (2006)","journal-title":"J. Math. Imaging Vis."},{"key":"15_CR12","unstructured":"Thompson, D.W., et al.: On Growth and Form (1942)"},{"key":"15_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1007\/11505730_32","volume-title":"Information Processing in Medical Imaging","author":"M Vaillant","year":"2005","unstructured":"Vaillant, M., Glaun\u00e8s, J.: Surface matching via currents. In: Christensen, G.E., Sonka, M. (eds.) IPMI 2005. LNCS, vol. 3565, pp. 381\u2013392. Springer, Heidelberg (2005). \n                      https:\/\/doi.org\/10.1007\/11505730_32"},{"key":"15_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"754","DOI":"10.1007\/978-3-540-85988-8_90","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2008","author":"T Vercauteren","year":"2008","unstructured":"Vercauteren, T., Pennec, X., Perchant, A., Ayache, N.: Symmetric log-domain diffeomorphic registration: a demons-based approach. In: Metaxas, D., Axel, L., Fichtinger, G., Sz\u00e9kely, G. (eds.) MICCAI 2008. LNCS, vol. 5241, pp. 754\u2013761. Springer, Heidelberg (2008). \n                      https:\/\/doi.org\/10.1007\/978-3-540-85988-8_90"},{"key":"15_CR15","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1016\/j.neuroimage.2017.07.008","volume":"158","author":"X Yang","year":"2017","unstructured":"Yang, X., Kwitt, R., Styner, M., Niethammer, M.: Quicksilver: fast predictive image registration-a deep learning approach. NeuroImage 158, 378\u2013396 (2017)","journal-title":"NeuroImage"},{"key":"15_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12055-8","volume-title":"Shapes and Diffeomorphisms","author":"L Younes","year":"2010","unstructured":"Younes, L.: Shapes and Diffeomorphisms. Applied Mathematical Sciences, Springer, Heidelberg (2010). \n                      https:\/\/books.google.fr\/books?id=SdTBtMGgeAUC"},{"key":"15_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1007\/978-3-319-10443-0_16","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014","author":"M Zhang","year":"2014","unstructured":"Zhang, M., Fletcher, P.T.: Bayesian principal geodesic analysis in diffeomorphic image registration. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014. LNCS, vol. 8675, pp. 121\u2013128. Springer, Cham (2014). \n                      https:\/\/doi.org\/10.1007\/978-3-319-10443-0_16"},{"key":"15_CR18","first-page":"1","volume":"127","author":"M Zhang","year":"2018","unstructured":"Zhang, M., Fletcher, P.T.: Fast diffeomorphic image registration via Fourier-approximated lie algebras. Int. J. Comput. Vis. 127, 1\u201313 (2018)","journal-title":"Int. J. Comput. Vis."}],"container-title":["Lecture Notes in Computer Science","Information Processing in Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-20351-1_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,22]],"date-time":"2019-05-22T11:54:58Z","timestamp":1558526098000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-20351-1_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030203504","9783030203511"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-20351-1_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"22 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IPMI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information Processing in Medical Imaging","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hong Kong","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ipmi2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ipmi2019.cse.ust.hk\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}