{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T17:27:57Z","timestamp":1742923677777,"version":"3.40.3"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031353017"},{"type":"electronic","value":"9783031353024"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-35302-4_68","type":"book-chapter","created":{"date-parts":[[2023,6,15]],"date-time":"2023-06-15T07:02:40Z","timestamp":1686812560000},"page":"668-677","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automated Estimation of Motion Patterns of the Left Ventricle Supports Cardiomyopathy Identification"],"prefix":"10.1007","author":[{"given":"Edmond","family":"Astolfi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Athira","family":"Jacob","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Indraneel","family":"Borgohain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Akos","family":"Varga-Szemes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Puneet","family":"Sharma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tiziano","family":"Passerini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,6,16]]},"reference":[{"issue":"10","key":"68_CR1","doi-asserted-by":"publisher","first-page":"1693","DOI":"10.1016\/j.hrthm.2014.05.018","volume":"11","author":"F Vadakkumpadan","year":"2014","unstructured":"Vadakkumpadan, F., Trayanova, N., Wu, K.C.: Image-based left ventricular shape analysis for sudden cardiac death risk stratification. Heart Rhythm 11(10), 1693\u20131700 (2014)","journal-title":"Heart Rhythm"},{"issue":"9","key":"68_CR2","first-page":"1563","volume":"15","author":"J Corral Acero","year":"2022","unstructured":"Corral Acero, J., et al.: Understanding and improving risk assessment after myocardial infarction using automated left ventricular shape analysis. JACC: Cardiovasc. Imaging 15(9), 1563\u20131574 (2022)","journal-title":"JACC: Cardiovasc. Imaging"},{"issue":"1","key":"68_CR3","first-page":"63","volume":"15","author":"S Toupin","year":"2023","unstructured":"Toupin, S., et al.: Incremental prognostic value of fully-automatic LVEF by stress CMR using machine learning. Arch. Cardiovasc. Dis. Suppl. 15(1), 63 (2023)","journal-title":"Arch. Cardiovasc. Dis. Suppl."},{"key":"68_CR4","volume-title":"Statistical Shape Analysis","author":"IL Dryden","year":"1998","unstructured":"Dryden, I.L., Mardia, K.V.: Statistical Shape Analysis. John Wiley and Sons, Chichester (1998)"},{"issue":"11","key":"68_CR5","doi-asserted-by":"publisher","first-page":"1921","DOI":"10.1109\/TMI.2011.2158440","volume":"30","author":"L Yang","year":"2011","unstructured":"Yang, L., Georgescu, B., Zheng, Y., Wang, Y., Meer, P., Comaniciu, D.: Prediction based collaborative trackers (PCT): a robust and accurate approach toward 3D medical object tracking. IEEE Trans. Med. Imaging 30(11), 1921\u20131932 (2011)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"7","key":"68_CR6","doi-asserted-by":"publisher","first-page":"722","DOI":"10.1161\/CIRCRESAHA.117.309711","volume":"121","author":"WJ McKenna","year":"2017","unstructured":"McKenna, W.J., Maron, B.J., Thiene, G.: Classification, epidemiology, and global burden of cardiomyopathies. Circ. Res. 121(7), 722\u2013730 (2017)","journal-title":"Circ. Res."},{"issue":"4","key":"68_CR7","doi-asserted-by":"publisher","first-page":"990","DOI":"10.1148\/rg.2021200125","volume":"41","author":"A Sirajuddin","year":"2021","unstructured":"Sirajuddin, A., et al.: Ischemic heart disease: noninvasive imaging techniques and findings. Radiographics 41(4), 990\u20131021 (2021)","journal-title":"Radiographics"},{"issue":"4","key":"68_CR8","doi-asserted-by":"publisher","first-page":"674","DOI":"10.1016\/S0735-1097(84)80392-7","volume":"4","author":"DE Wallis","year":"1984","unstructured":"Wallis, D.E., O\u2019Connell, J.B., Henkin, R.E., Costanzo-Nordin, M.R., Scanlon, P.J.: Segmental wall motion abnormalities in dilated cardiomyopathy: a common finding and good prognostic sign. J Am Coll Cardiol. 4(4), 674\u2013679 (1984)","journal-title":"J Am Coll Cardiol."},{"key":"68_CR9","unstructured":"Al-Akchar, M., Shams, P., Kiel, J.: Acute myocarditis. In: StatPearls [Internet]. StatPearls Publishing, Treasure Island (FL) (2023)"}],"container-title":["Lecture Notes in Computer Science","Functional Imaging and Modeling of the Heart"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-35302-4_68","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T15:11:30Z","timestamp":1691593890000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-35302-4_68"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031353017","9783031353024"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-35302-4_68","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"16 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"FIMH","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Functional Imaging and Modeling of the Heart","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lyon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 June 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 June 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"fimh2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/fimh2023.sciencesconf.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Eqiunocs","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"80","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":"72","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":"90% - 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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}