{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T16:52:40Z","timestamp":1767372760821,"version":"3.40.3"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030322502"},{"type":"electronic","value":"9783030322519"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-32251-9_7","type":"book-chapter","created":{"date-parts":[[2019,10,9]],"date-time":"2019-10-09T23:08:49Z","timestamp":1570662529000},"page":"57-65","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Hierarchical Multi-geodesic Model for Longitudinal Analysis of Temporal Trajectories of Anatomical Shape and Covariates"],"prefix":"10.1007","author":[{"given":"Sungmin","family":"Hong","sequence":"first","affiliation":[]},{"given":"James","family":"Fishbaugh","sequence":"additional","affiliation":[]},{"given":"Jason J.","family":"Wolff","sequence":"additional","affiliation":[]},{"given":"Martin A.","family":"Styner","sequence":"additional","affiliation":[]},{"given":"Guido","family":"Gerig","sequence":"additional","affiliation":[]},{"name":"the IBIS Network","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,10]]},"reference":[{"key":"7_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2201-7","volume-title":"Riemannian Geometry","author":"MPD Carmo","year":"1992","unstructured":"Carmo, M.P.D.: Riemannian Geometry. Birkh\u00e4user, Basel (1992)"},{"key":"7_CR2","volume-title":"Applied Longitudinal Analysis","author":"GM Fitzmaurice","year":"2012","unstructured":"Fitzmaurice, G.M., Laird, N.M., Ware, J.H.: Applied Longitudinal Analysis, vol. 998. Wiley, Hoboken (2012)"},{"issue":"2","key":"7_CR3","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/s11263-012-0591-y","volume":"105","author":"PT Fletcher","year":"2013","unstructured":"Fletcher, P.T.: Geodesic regression and the theory of least squares on riemannian manifolds. Int. J. Comput. Vis. 105(2), 171\u2013185 (2013)","journal-title":"Int. J. Comput. Vis."},{"key":"7_CR4","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.media.2016.06.014","volume":"33","author":"G Gerig","year":"2016","unstructured":"Gerig, G., Fishbaugh, J., Sadeghi, N.: Longitudinal modeling of appearance and shape and its potential for clinical use. Med. Image Anal. 33, 114\u2013121 (2016)","journal-title":"Med. Image Anal."},{"key":"7_CR5","doi-asserted-by":"crossref","unstructured":"Kim, H.J., et al.: MGLM on riemannian manifolds with applications to statistical analysis of diffusion weighted images. In: CVPR. IEEE (2014)","DOI":"10.1109\/CVPR.2014.352"},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Kim, H.J., Adluru, N., Suri, H., Vemuri, B.C., Johnson, S.C., Singh, V.: Riemannian nonlinear mixed effects models: analyzing longitudinal deformations in neuroimaging. In: CVPR. IEEE (2017)","DOI":"10.1109\/CVPR.2017.612"},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Muralidharan, P., Fletcher, P.T.: Sasaki metrics for analysis of longitudinal data on manifolds. In: CVPR. IEEE (2012)","DOI":"10.1109\/CVPR.2012.6247780"},{"issue":"1","key":"7_CR8","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 (2006)","journal-title":"J. Math. Imaging Vis."},{"issue":"1","key":"7_CR9","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1007\/s11263-015-0849-2","volume":"117","author":"N Singh","year":"2016","unstructured":"Singh, N., Hinkle, J., Joshi, S., Fletcher, P.T.: Hierarchical geodesic models in diffeomorphisms. Int. J. Comput. Vis. 117(1), 70\u201392 (2016)","journal-title":"Int. J. Comput. Vis."},{"issue":"7","key":"7_CR10","doi-asserted-by":"publisher","first-page":"2046","DOI":"10.1093\/brain\/awv118","volume":"138","author":"JJ Wolff","year":"2015","unstructured":"Wolff, J.J., et al.: Altered corpus callosum morphology associated with autism over the first 2 years of life. Brain 138(7), 2046\u20132058 (2015)","journal-title":"Brain"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2019"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-32251-9_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T00:15:08Z","timestamp":1728519308000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-32251-9_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030322502","9783030322519"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-32251-9_7","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":"10 October 2019","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":"Shenzhen","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":"13 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.miccai2019.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1730","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"539","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"31% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.07","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6.31","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}