{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T22:03:16Z","timestamp":1743112996006,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030937218"},{"type":"electronic","value":"9783030937225"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-93722-5_8","type":"book-chapter","created":{"date-parts":[[2022,1,14]],"date-time":"2022-01-14T15:04:40Z","timestamp":1642172680000},"page":"66-74","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Characterizing Myocardial Ischemia and Reperfusion Patterns with Hierarchical Manifold Learning"],"prefix":"10.1007","author":[{"given":"Beno\u00eet","family":"Freiche","sequence":"first","affiliation":[]},{"given":"Patrick","family":"Clarysse","sequence":"additional","affiliation":[]},{"given":"Magalie","family":"Viallon","sequence":"additional","affiliation":[]},{"given":"Pierre","family":"Croisille","sequence":"additional","affiliation":[]},{"given":"Nicolas","family":"Duchateau","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,1,14]]},"reference":[{"key":"8_CR1","doi-asserted-by":"crossref","unstructured":"Alexandre, J., et al.: Scar extent evaluated by late gadolinium enhancement CMR: a powerful predictor of long term appropriate ICD therapy in patients with coronary artery disease. J. Cardiovasc. Magn. Reson. 15, 12 (2013)","DOI":"10.1186\/1532-429X-15-12"},{"key":"8_CR2","unstructured":"Bekkers, S., et al.: Microvascular obstruction: underlying pathophysiology and clinical diagnosis. J. Am. Coll. Cardiol. 55, 1649\u201360 (2010)"},{"key":"8_CR3","unstructured":"Belle, L., et al.: Comparison of immediate with delayed stenting using the Minimalist Immediate Mechanical Intervention approach in acute ST-segment-elevation myocardial infarction: the MIMI study. Circ. Cardiovasc. Interv. 9, e003388 (2016)"},{"key":"8_CR4","doi-asserted-by":"crossref","unstructured":"Bhatia, K., et al.: Hierarchical manifold learning for regional image analysis. IEEE Trans. Med. Imaging 33, 444\u201361 (2014)","DOI":"10.1109\/TMI.2013.2287121"},{"key":"8_CR5","doi-asserted-by":"publisher","first-page":"1949","DOI":"10.1161\/CIRCULATIONAHA.117.030693","volume":"137","author":"H Bulluck","year":"2018","unstructured":"Bulluck, H., et al.: Cardiovascular magnetic resonance in acute st-segment-elevation myocardial infarction: recent advances, controversies, and future directions. Circulation 137, 1949\u201364 (2018)","journal-title":"Circulation"},{"key":"8_CR6","doi-asserted-by":"crossref","unstructured":"Coifman, R.S.L.: Diffusion maps. Appl. Comput. Harm. Anal. 21, 5\u201338 (2006)","DOI":"10.1016\/j.acha.2006.04.006"},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"Criminisi, A., Shotton, J.: Decision forests for computer vision and medical image analysis. Springer Publishing Company (2013)","DOI":"10.1007\/978-1-4471-4929-3"},{"key":"8_CR8","doi-asserted-by":"crossref","unstructured":"Lin, Y., et al.: Multiple kernel learning for dimensionality reduction. IEEE Trans. Pattern Anal. Mach. Intell. 33, 1147\u201360 (2011)","DOI":"10.1109\/TPAMI.2010.183"},{"key":"8_CR9","first-page":"3","volume":"12738","author":"K Mom","year":"2021","unstructured":"Mom, K., et al.: Population-based personalization of geometric models of myocardial infarction. Proc. FIMH 12738, 3\u201311 (2021)","journal-title":"Proc. FIMH"},{"key":"8_CR10","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1001\/jama.2018.9660","volume":"320","author":"P Shekelle","year":"2018","unstructured":"Shekelle, P.: Clinical practice guidelines: what\u2019s next? JAMA 320, 757\u20138 (2018)","journal-title":"JAMA"},{"key":"8_CR11","unstructured":"Wang, B., et al.: Unsupervised metric fusion by cross diffusion. In: Proceedings CVPR, pp. 2997-3004 (2012)"}],"container-title":["Lecture Notes in Computer Science","Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-93722-5_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,28]],"date-time":"2022-04-28T14:33:12Z","timestamp":1651156392000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-93722-5_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030937218","9783030937225"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-93722-5_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"14 January 2022","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":"Strasbourg","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":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2021","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":"stacom2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/stacom2021.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":"48","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":"40","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":"83% - 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 accepted papers split in 25 regular papers and 15 Challenge papers. The workshop took place 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)"}}]}}