{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T14:51:41Z","timestamp":1769611901562,"version":"3.49.0"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030681067","type":"print"},{"value":"9783030681074","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-68107-4_9","type":"book-chapter","created":{"date-parts":[[2021,1,28]],"date-time":"2021-01-28T04:31:57Z","timestamp":1611808317000},"page":"87-96","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automatic Detection of Landmarks for Fast Cardiac MR Image Registration"],"prefix":"10.1007","author":[{"given":"Mia","family":"Mojica","sequence":"first","affiliation":[]},{"given":"Mihaela","family":"Pop","sequence":"additional","affiliation":[]},{"given":"Mehran","family":"Ebrahimi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,1,29]]},"reference":[{"key":"9_CR1","volume-title":"Calculus: Early Transcendentals","author":"H Anton","year":"2010","unstructured":"Anton, H., Bivens, I., Davis, S., Polaski, T.: Calculus: Early Transcendentals. Wiley, Hoboken (2010)"},{"issue":"4","key":"9_CR2","doi-asserted-by":"publisher","first-page":"539","DOI":"10.1161\/hc0402.102975","volume":"105","author":"MD Cerqueira","year":"2002","unstructured":"Cerqueira, M.D., et al.: Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. Circulation 105(4), 539\u2013542 (2002)","journal-title":"Circulation"},{"key":"9_CR3","doi-asserted-by":"crossref","unstructured":"Fischer, B., Modersitzki, J.: Combining landmark and intensity driven registrations. In: PAMM: Proceedings in Applied Mathematics and Mechanics, vol. 3, pp. 32\u201335. Wiley Online Library (2003)","DOI":"10.1002\/pamm.200310309"},{"key":"9_CR4","unstructured":"Gonzalez, R.C., Woods, R.E., Eddins, S.L.: Digital Image Processing Using MATLAB. Pearson Education India (2004)"},{"issue":"9","key":"9_CR5","doi-asserted-by":"publisher","first-page":"1011","DOI":"10.1109\/TMI.2002.804441","volume":"21","author":"T Makela","year":"2002","unstructured":"Makela, T., et al.: A review of cardiac image registration methods. IEEE Trans. Med. Imaging 21(9), 1011\u20131021 (2002)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"9_CR6","doi-asserted-by":"publisher","DOI":"10.1137\/1.9780898718843","volume-title":"FAIR: Flexible Algorithms for Image Registration","author":"J Modersitzki","year":"2009","unstructured":"Modersitzki, J.: FAIR: Flexible Algorithms for Image Registration, vol. 6. SIAM, Philadelphia (2009)"},{"key":"9_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1007\/978-3-319-75541-0_7","volume-title":"Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges","author":"M Mojica","year":"2018","unstructured":"Mojica, M., Pop, M., Sermesant, M., Ebrahimi, M.: Multilevel non-parametric groupwise registration in cardiac mri: application to explanted porcine hearts. In: Pop, M., et al. (eds.) STACOM 2017. LNCS, vol. 10663, pp. 60\u201369. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-75541-0_7"},{"key":"9_CR8","doi-asserted-by":"crossref","unstructured":"Mojica, M., Pop, M., Sermesant, M., Ebrahimi, M.: Constructing an average geometry and diffusion tensor magnetic resonance field from freshly explanted porcine hearts. In: Medical Imaging 2019: Image Processing, vol. 10949, p. 109493C. International Society for Optics and Photonics (2019)","DOI":"10.1117\/12.2512870"},{"key":"9_CR9","doi-asserted-by":"publisher","first-page":"105200","DOI":"10.1016\/j.cmpb.2019.105200","volume":"187","author":"M Mojica","year":"2020","unstructured":"Mojica, M., Pop, M., Sermesant, M., Ebrahimi, M.: Novel atlas of fiber directions built from ex-vivo diffusion tensor images of porcine hearts. Comput. Methods Programs Biomed. 187, 105200 (2020)","journal-title":"Comput. Methods Programs Biomed."},{"issue":"11","key":"9_CR10","doi-asserted-by":"publisher","first-page":"1500","DOI":"10.1109\/TMI.2007.907286","volume":"26","author":"JM Peyrat","year":"2007","unstructured":"Peyrat, J.M., et al.: A computational framework for the statistical analysis of cardiac diffusion tensors: application to a small database of canine hearts. IEEE Trans. Med. Imaging 26(11), 1500\u20131514 (2007)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"15","key":"9_CR11","doi-asserted-by":"publisher","first-page":"5009","DOI":"10.1088\/0031-9155\/58\/15\/5009","volume":"58","author":"M Pop","year":"2013","unstructured":"Pop, M., et al.: Quantification of fibrosis in infarcted swine hearts by ex vivo late gadolinium-enhancement and diffusion-weighted MRI methods. Phys. Med. Biol. 58(15), 5009 (2013)","journal-title":"Phys. Med. Biol."},{"issue":"3","key":"9_CR12","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1007\/BF01081520","volume":"22","author":"A Savi","year":"1995","unstructured":"Savi, A., et al.: Spatial registration of echocardiographic and positron emission tomographic heart studies. Eur. J. Nucl. Med. 22(3), 243\u2013247 (1995). https:\/\/doi.org\/10.1007\/BF01081520","journal-title":"Eur. J. Nucl. Med."},{"key":"9_CR13","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611970128","volume-title":"Spline Models for Observational Data","author":"G Wahba","year":"1990","unstructured":"Wahba, G.: Spline Models for Observational Data, vol. 59. SIAM, Philadelphia (1990)"},{"issue":"3","key":"9_CR14","doi-asserted-by":"publisher","first-page":"1116","DOI":"10.1016\/j.neuroimage.2006.01.015","volume":"31","author":"PA Yushkevich","year":"2006","unstructured":"Yushkevich, P.A., et al.: User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 31(3), 1116\u20131128 (2006)","journal-title":"Neuroimage"}],"container-title":["Lecture Notes in Computer Science","Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-68107-4_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T01:02:13Z","timestamp":1769562133000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-68107-4_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030681067","9783030681074"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-68107-4_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"29 January 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"STACOM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Statistical Atlases and Computational Models of the Heart","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lima","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Peru","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"stacom2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/stacom2020.cardiacatlas.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":"OCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"70","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":"43","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":"61% - 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":"2","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","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":"The conference was held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","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"}]}}