{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T22:41:29Z","timestamp":1759444889305,"version":"build-2065373602"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030597153"},{"type":"electronic","value":"9783030597160"}],"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_53","type":"book-chapter","created":{"date-parts":[[2020,10,2]],"date-time":"2020-10-02T20:03:41Z","timestamp":1601669021000},"page":"553-562","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound"],"prefix":"10.1007","author":[{"given":"Yuhao","family":"Huang","sequence":"first","affiliation":[]},{"given":"Xin","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Rui","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jikuan","family":"Qian","sequence":"additional","affiliation":[]},{"given":"Xiaoqiong","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Wenlong","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Haoran","family":"Dou","sequence":"additional","affiliation":[]},{"given":"Chaoyu","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Yuanji","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Huanjia","family":"Luo","sequence":"additional","affiliation":[]},{"given":"Alejandro","family":"Frangi","sequence":"additional","affiliation":[]},{"given":"Yi","family":"Xiong","sequence":"additional","affiliation":[]},{"given":"Dong","family":"Ni","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,29]]},"reference":[{"key":"53_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1007\/978-3-030-00928-1_32","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018","author":"A Alansary","year":"2018","unstructured":"Alansary, A., et al.: Automatic view planning with multi-scale deep reinforcement learning agents. In: Frangi, A.F., Schnabel, J.A., Davatzikos, C., Alberola-L\u00f3pez, C., Fichtinger, G. (eds.) MICCAI 2018. LNCS, vol. 11070, pp. 277\u2013285. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00928-1_32"},{"key":"53_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1007\/978-3-319-05530-5_6","volume-title":"Medical Computer Vision. Large Data in Medical Imaging","author":"K Chykeyuk","year":"2014","unstructured":"Chykeyuk, K., Yaqub, M., Alison Noble, J.: Class-specific regression random forest for accurate extraction of standard planes from 3D echocardiography. In: Menze, B., Langs, G., Montillo, A., Kelm, M., M\u00fcller, H., Tu, Z. (eds.) MCV 2013. LNCS, vol. 8331, pp. 53\u201362. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-05530-5_6"},{"key":"53_CR3","doi-asserted-by":"crossref","unstructured":"Dong, X., Yang, Y.: Searching for a robust neural architecture in four GPU hours. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1761\u20131770 (2019)","DOI":"10.1109\/CVPR.2019.00186"},{"key":"53_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1007\/978-3-030-32254-0_33","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2019","author":"H Dou","year":"2019","unstructured":"Dou, H., et al.: Agent with warm start and active termination for plane localization in 3D ultrasound. In: Shen, D., et al. (eds.) MICCAI 2019. LNCS, vol. 11768, pp. 290\u2013298. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-32254-0_33"},{"issue":"5\u20136","key":"53_CR5","doi-asserted-by":"publisher","first-page":"602","DOI":"10.1016\/j.neunet.2005.06.042","volume":"18","author":"A Graves","year":"2005","unstructured":"Graves, A., Schmidhuber, J.: Framewise phoneme classification with bidirectional LSTM and other neural network architectures. Neural Netw. 18(5\u20136), 602\u2013610 (2005)","journal-title":"Neural Netw."},{"key":"53_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1007\/978-3-030-00928-1_45","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018","author":"Y Li","year":"2018","unstructured":"Li, Y.: Standard plane detection in 3D fetal ultrasound using an iterative transformation network. In: Frangi, A.F., Schnabel, J.A., Davatzikos, C., Alberola-L\u00f3pez, C., Fichtinger, G. (eds.) MICCAI 2018. LNCS, vol. 11070, pp. 392\u2013400. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00928-1_45"},{"key":"53_CR7","unstructured":"Li, Y.: Deep reinforcement learning: an overview. arXiv preprint (2017). arXiv:1701.07274"},{"key":"53_CR8","unstructured":"Liu, H., Simonyan, K., Yang, Y.: Darts: differentiable architecture search. arXiv preprint (2018). arXiv:1806.09055"},{"key":"53_CR9","doi-asserted-by":"crossref","unstructured":"Lorenz, C., et al.: Automated abdominal plane and circumference estimation in 3D us for fetal screening. In: Medical Imaging 2018: Image Processing, vol. 10574, p. 105740I. International Society for Optics and Photonics (2018)","DOI":"10.1117\/12.2292729"},{"issue":"7540","key":"53_CR10","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1038\/nature14236","volume":"518","author":"V Mnih","year":"2015","unstructured":"Mnih, V., et al.: Human-level control through deep reinforcement learning. Nature 518(7540), 529\u2013533 (2015)","journal-title":"Nature"},{"issue":"11","key":"53_CR11","doi-asserted-by":"publisher","first-page":"2728","DOI":"10.1016\/j.ultrasmedbio.2014.06.006","volume":"40","author":"D Ni","year":"2014","unstructured":"Ni, D., et al.: Standard plane localization in ultrasound by radial component model and selective search. Ultrasound Med. Biol. 40(11), 2728\u20132742 (2014)","journal-title":"Ultrasound Med. Biol."},{"key":"53_CR12","unstructured":"Ren, P., et al.: A comprehensive survey of neural architecture search: challenges and solutions. arXiv preprint (2020). arXiv:2006.02903"},{"key":"53_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1007\/978-3-319-47157-0_24","volume-title":"Machine Learning in Medical Imaging","author":"H Ryou","year":"2016","unstructured":"Ryou, H., Yaqub, M., Cavallaro, A., Roseman, F., Papageorghiou, A., Noble, J.A.: Automated 3D ultrasound biometry planes extraction for first trimester fetal assessment. In: Wang, L., Adeli, E., Wang, Q., Shi, Y., Suk, H-Il (eds.) MLMI 2016. LNCS, vol. 10019, pp. 196\u2013204. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-47157-0_24"},{"key":"53_CR14","doi-asserted-by":"crossref","unstructured":"Schmidt-Richberg, A., et al.: Offset regression networks for view plane estimation in 3D fetal ultrasound. In: Medical Imaging 2019: Image Processing, vol. 10949, p. 109493K. International Society for Optics and Photonics (2019)","DOI":"10.1117\/12.2512697"},{"key":"53_CR15","doi-asserted-by":"crossref","unstructured":"Van Hasselt, H., Guez, A., Silver, D.: Deep reinforcement learning with double Q-learning. In: Thirtieth AAAI conference on artificial intelligence (2016)","DOI":"10.1609\/aaai.v30i1.10295"},{"key":"53_CR16","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, Dl, 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"},{"issue":"12","key":"53_CR17","doi-asserted-by":"publisher","first-page":"484","DOI":"10.4329\/wjr.v7.i12.484","volume":"7","author":"L Wong","year":"2015","unstructured":"Wong, L., White, N., Ramkrishna, J., J\u00fanior, E.A., Meagher, S., Costa, F.D.S.: Three-dimensional imaging of the uterus: the value of the coronal plane. World J. Radiol. 7(12), 484 (2015)","journal-title":"World J. Radiol."}],"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_53","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T22:04:22Z","timestamp":1759442662000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-59716-0_53"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030597153","9783030597160"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-59716-0_53","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"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)"}}]}}