{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T15:09:39Z","timestamp":1769612979971,"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_14","type":"book-chapter","created":{"date-parts":[[2021,1,28]],"date-time":"2021-01-28T04:31:57Z","timestamp":1611808317000},"page":"137-145","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Left Atrial Ejection Fraction Estimation Using SEGANet for Fully Automated Segmentation of CINE MRI"],"prefix":"10.1007","author":[{"given":"Ana","family":"Louren\u00e7o","sequence":"first","affiliation":[]},{"given":"Eric","family":"Kerfoot","sequence":"additional","affiliation":[]},{"given":"Connor","family":"Dibblin","sequence":"additional","affiliation":[]},{"given":"Ebraham","family":"Alskaf","sequence":"additional","affiliation":[]},{"given":"Mustafa","family":"Anjari","sequence":"additional","affiliation":[]},{"given":"Anil A.","family":"Bharath","sequence":"additional","affiliation":[]},{"given":"Andrew P.","family":"King","sequence":"additional","affiliation":[]},{"given":"Henry","family":"Chubb","sequence":"additional","affiliation":[]},{"given":"Teresa M.","family":"Correia","sequence":"additional","affiliation":[]},{"given":"Marta","family":"Varela","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,1,29]]},"reference":[{"key":"14_CR1","doi-asserted-by":"crossref","unstructured":"Chen, C., et al.: Deep learning for cardiac image segmentation: A review. arXiv (2019)","DOI":"10.3389\/fcvm.2020.00025"},{"key":"14_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1007\/978-3-030-12029-0_32","volume-title":"Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges","author":"C Chen","year":"2019","unstructured":"Chen, C., Bai, W., Rueckert, D.: Multi-task learning for left atrial segmentation on GE-MRI. In: Pop, N., et al. (eds.) STACOM 2018. LNCS, vol. 11395, pp. 292\u2013301. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-12029-0_32"},{"issue":"1","key":"14_CR3","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1186\/s12968-018-0438-y","volume":"20","author":"H Chubb","year":"2018","unstructured":"Chubb, H., et al.: The reproducibility of late gadolinium enhancement cardiovascular magnetic resonance imaging of post-ablation atrial scar: a cross-over study. J. Cardiovasc. Magn. Reson. 20(1), 21 (2018). https:\/\/doi.org\/10.1186\/s12968-018-0438-y","journal-title":"J. Cardiovasc. Magn. Reson."},{"issue":"5","key":"14_CR4","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1093\/oxfordjournals.eurheartj.a061334","volume":"3","author":"R Erbel","year":"1982","unstructured":"Erbel, R., et al.: Comparison of single-plane and biplane volume determination by two-dimensional echocardiography 1. Asymmetric model hearts*. Eur. Heart J. 3(5), 469\u2013480 (1982)","journal-title":"Eur. Heart J."},{"issue":"2","key":"14_CR5","doi-asserted-by":"publisher","first-page":"e004549","DOI":"10.1161\/JAHA.112.004549","volume":"2","author":"AN Ganesan","year":"2013","unstructured":"Ganesan, A.N., et al.: Long-term outcomes of catheter ablation of atrial fibrillation: a systematic review and meta-analysis. J. Am. Heart Assoc. 2(2), e004549 (2013)","journal-title":"J. Am. Heart Assoc."},{"key":"14_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"630","DOI":"10.1007\/978-3-319-46493-0_38","volume-title":"Computer Vision \u2013 ECCV 2016","author":"K He","year":"2016","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Identity mappings in deep residual networks. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016 Part IV. LNCS, vol. 9908, pp. 630\u2013645. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46493-0_38"},{"key":"14_CR7","first-page":"112","volume":"8706","author":"BD Hoit","year":"2017","unstructured":"Hoit, B.D.: Evaluation of left atrial function: current status. Struct. Heart 8706, 112 (2017)","journal-title":"Struct. Heart"},{"key":"14_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1007\/978-3-030-00946-5_4","volume-title":"Image Analysis for Moving Organ, Breast, and Thoracic Images","author":"E Kerfoot","year":"2018","unstructured":"Kerfoot, E., Puyol Anton, E., Ruijsink, B., Clough, J., King, A.P., Schnabel, J.A.: Automated CNN-based reconstruction of short-axis cardiac mr sequence from real-time image data automated CNN-based reconstruction of short-axis cardiac mr sequence from real-time image data. In: Stoyanov, D., et al. (eds.) RAMBO\/BIA\/TIA -2018. LNCS, vol. 11040, pp. 32\u201341. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00946-5_4"},{"issue":"1","key":"14_CR9","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1186\/s12968-015-0140-2","volume":"17","author":"JT Kowallick","year":"2015","unstructured":"Kowallick, J.T., et al.: Quantification of atrial dynamics using cardiovascular magnetic resonance: inter-study reproducibility. J. Cardiovasc. Magn. Reson. 17(1), 36 (2015). https:\/\/doi.org\/10.1186\/s12968-015-0140-2","journal-title":"J. Cardiovasc. Magn. Reson."},{"issue":"1","key":"14_CR10","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.jjcc.2010.08.006","volume":"57","author":"M Mika","year":"2011","unstructured":"Mika, M., et al.: Impact of reduced left atrial functions on diagnosis of paroxysmal atrial fibrillation: Results from analysis of time-left atrial volume curve determined by two-dimensional speckle tracking. J. Cardiol. 57(1), 89\u201394 (2011)","journal-title":"J. Cardiol."},{"key":"14_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-Net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015, Part III. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"issue":"9","key":"14_CR12","doi-asserted-by":"publisher","first-page":"1185","DOI":"10.1016\/j.amjcard.2006.05.040","volume":"98","author":"K Ujino","year":"2006","unstructured":"Ujino, K., et al.: Two-dimensional echocardiographic methods for assessment of left atrial volume. Am. J. Cardiol. 98(9), 1185\u20131188 (2006)","journal-title":"Am. J. Cardiol."},{"key":"14_CR13","doi-asserted-by":"publisher","first-page":"68","DOI":"10.3389\/fphys.2017.00068","volume":"8","author":"M Varela","year":"2017","unstructured":"Varela, M., et al.: Novel computational analysis of left atrial anatomy improves prediction of atrial fibrillation recurrence after ablation. Front. Physio. 8, 68 (2017)","journal-title":"Front. Physio."},{"issue":"9","key":"14_CR14","doi-asserted-by":"publisher","first-page":"1285","DOI":"10.1016\/j.amjcard.2007.12.028","volume":"101","author":"D Victoria","year":"2008","unstructured":"Victoria, D., et al.: Fate of left atrial function as determined by real-time three-dimensional echocardiography study after radiofrequency catheter ablation for the treatment of atrial fibrillation. Am. J. Cardio. 101(9), 1285\u20131290 (2008)","journal-title":"Am. J. Cardio."}],"container-title":["Lecture Notes in Computer Science","Statistical Atlases and Computational Models of the Heart. M&amp;Ms and EMIDEC Challenges"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-68107-4_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T01:02:17Z","timestamp":1769562137000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-68107-4_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030681067","9783030681074"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-68107-4_14","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"}]}}