{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T10:30:28Z","timestamp":1770892228332,"version":"3.50.1"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030597153","type":"print"},{"value":"9783030597160","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-59716-0_46","type":"book-chapter","created":{"date-parts":[[2020,10,2]],"date-time":"2020-10-02T20:03:41Z","timestamp":1601669021000},"page":"483-492","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Ultrasound Video Summarization Using Deep Reinforcement Learning"],"prefix":"10.1007","author":[{"given":"Tianrui","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingjie","family":"Meng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Athanasios","family":"Vlontzos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeremy","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Rueckert","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bernhard","family":"Kainz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,9,29]]},"reference":[{"key":"46_CR1","unstructured":"Fetal anomaly screening programme: handbook for ultrasound practitioners, (2015)"},{"key":"46_CR2","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1016\/j.media.2019.02.007","volume":"53","author":"A Alansary","year":"2019","unstructured":"Alansary, A., et al.: Evaluating reinforcement learning agents for anatomical landmark detection. Med. Image Anal. 53, 156\u2013164 (2019)","journal-title":"Med. Image Anal."},{"issue":"11","key":"46_CR3","doi-asserted-by":"publisher","first-page":"2204","DOI":"10.1109\/TMI.2017.2712367","volume":"36","author":"CF Baumgartner","year":"2017","unstructured":"Baumgartner, C.F., et al.: Sononet: real-time detection and localisation of fetal standard scan planes in freehand ultrasound. IEEE Trans. Med. Imaging 36(11), 2204\u20132215 (2017)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"46_CR4","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1109\/TMM.2011.2166951","volume":"14","author":"Y Cong","year":"2011","unstructured":"Cong, Y., Yuan, J., Luo, J.: Towards scalable summarization of consumer videos via sparse dictionary selection. IEEE Trans. Multimedia 14(1), 66\u201375 (2011)","journal-title":"IEEE Trans. Multimedia"},{"issue":"1","key":"46_CR5","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1016\/j.media.2011.06.008","volume":"16","author":"W Gavi\u00e3o","year":"2012","unstructured":"Gavi\u00e3o, W., Scharcanski, J., Frahm, J.M., Pollefeys, M.: Hysteroscopy video summarization and browsing by estimating the physician\u2019s attention on video segments. Med. Image Anal. 16(1), 160\u2013176 (2012)","journal-title":"Med. Image Anal."},{"key":"46_CR6","unstructured":"Gong, B., Chao, W.L., Grauman, K., Sha, F.: Diverse sequential subset selection for supervised video summarization. In: Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N.D., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems, Curran Associates, Inc. 27, pp. 2069\u20132077 (2014), http:\/\/papers.nips.cc\/paper\/5413-diverse-sequential-subset-selection-for-supervised-video-summarization.pdf"},{"key":"46_CR7","doi-asserted-by":"crossref","unstructured":"Gygli, M., Grabner, H., Riemenschneider, H., Van Gool, L.: Creating summaries from user videos. In: ECCV, (2014)","DOI":"10.1007\/978-3-319-10584-0_33"},{"key":"46_CR8","doi-asserted-by":"crossref","unstructured":"Gygli, M., Grabner, H., Van Gool, L.: Video summarization by learning submodular mixtures of objectives. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3090\u20133098 (2015)","DOI":"10.1109\/CVPR.2015.7298928"},{"issue":"7","key":"46_CR9","doi-asserted-by":"publisher","first-page":"1212","DOI":"10.1016\/j.jvcir.2013.08.003","volume":"24","author":"SK Kuanar","year":"2013","unstructured":"Kuanar, S.K., Panda, R., Chowdhury, A.S.: Video key frame extraction through dynamic delaunay clustering with a structural constraint. J. Visual Commun. Image Represent. 24(7), 1212\u20131227 (2013)","journal-title":"J. Visual Commun. Image Represent."},{"key":"46_CR10","doi-asserted-by":"crossref","unstructured":"Liu, T., Chan, S.: Automatic shot boundary detection algorithm using structure-aware histogram metric. In: 2014 19th International Conference on Digital Signal Processing, pp. 541\u2013546 (2014)","DOI":"10.1109\/ICDSP.2014.6900724"},{"key":"46_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1007\/3-540-47979-1_27","volume-title":"Computer Vision \u2014 ECCV 2002","author":"T Liu","year":"2002","unstructured":"Liu, T., Kender, J.R.: Optimization algorithms for the selection of key frame sequences of variable length. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2353, pp. 403\u2013417. Springer, Heidelberg (2002). https:\/\/doi.org\/10.1007\/3-540-47979-1_27"},{"issue":"9","key":"46_CR12","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/s10916-014-0109-y","volume":"38","author":"I Mehmood","year":"2014","unstructured":"Mehmood, I., Sajjad, M., Baik, S.W.: Video summarization based tele-endoscopy: a service to efficiently manage visual data generated during wireless capsule endoscopy procedure. J. Med. Syst. 38(9), 109 (2014)","journal-title":"J. Med. Syst."},{"key":"46_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1007\/978-3-319-10599-4_35","volume-title":"Computer Vision \u2013 ECCV 2014","author":"D Potapov","year":"2014","unstructured":"Potapov, D., Douze, M., Harchaoui, Z., Schmid, C.: Category-specific video summarization. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8694, pp. 540\u2013555. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10599-4_35"},{"key":"46_CR14","doi-asserted-by":"crossref","unstructured":"Rochan, M., Ye, L., Wang, Y.: Video summarization using fully convolutional sequence networks. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 347\u2013363 (2018)","DOI":"10.1007\/978-3-030-01258-8_22"},{"key":"46_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1007\/978-3-030-32251-9_29","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2019","author":"A Vlontzos","year":"2019","unstructured":"Vlontzos, A., Alansary, A., Kamnitsas, K., Rueckert, D., Kainz, B.: Multiple landmark detection using multi-agent reinforcement learning. In: Shen, D., et al. (eds.) MICCAI 2019. LNCS, vol. 11767, pp. 262\u2013270. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-32251-9_29"},{"key":"46_CR16","doi-asserted-by":"publisher","unstructured":"Yale Song, Vallmitjana, J., Stent, A., Jaimes, A.: Tvsum: summarizing web videos using titles. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5179\u20135187 (2015) https:\/\/doi.org\/10.1109\/CVPR.2015.7299154","DOI":"10.1109\/CVPR.2015.7299154"},{"key":"46_CR17","doi-asserted-by":"crossref","unstructured":"Yang, M., Dai, D., Shen, L., Van Gool, L.: Latent dictionary learning for sparse representation based classification. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (2014)","DOI":"10.1109\/CVPR.2014.527"},{"key":"46_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"766","DOI":"10.1007\/978-3-319-46478-7_47","volume-title":"Computer Vision \u2013 ECCV 2016","author":"K Zhang","year":"2016","unstructured":"Zhang, K., Chao, W.L., Sha, F., Grauman, K.: Video summarization with long short-term memory. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9911, pp. 766\u2013782. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46478-7_47"},{"key":"46_CR19","doi-asserted-by":"crossref","unstructured":"Zhou, K., Qiao, Y., Xiang, T.: Deep reinforcement learning for unsupervised video summarization with diversity-representativeness reward. In: Thirty-Second AAAI Conference on Artificial Intelligence, (2018)","DOI":"10.1609\/aaai.v32i1.12255"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-59716-0_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T22:05:17Z","timestamp":1759442717000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-59716-0_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030597153","9783030597160"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-59716-0_46","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"29 September 2020","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":"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":"8 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.miccai2020.org\/en\/","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":"Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1809","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":"542","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":"30% - 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","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":"4","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)"}}]}}