{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,13]],"date-time":"2025-12-13T07:14:15Z","timestamp":1765610055127,"version":"build-2065373602"},"publisher-location":"Cham","reference-count":19,"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_52","type":"book-chapter","created":{"date-parts":[[2020,10,2]],"date-time":"2020-10-02T20:03:41Z","timestamp":1601669021000},"page":"544-552","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2608-2580","authenticated-orcid":false,"given":"Alex","family":"Grimwood","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7389-5587","authenticated-orcid":false,"given":"Helen","family":"McNair","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4902-0486","authenticated-orcid":false,"given":"Yipeng","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9217-5438","authenticated-orcid":false,"given":"Ester","family":"Bonmati","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2916-655X","authenticated-orcid":false,"given":"Dean","family":"Barratt","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8297-0382","authenticated-orcid":false,"given":"Emma J.","family":"Harris","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,9,29]]},"reference":[{"issue":"3","key":"52_CR1","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1016\/j.clon.2019.11.004","volume":"32","author":"A Loblaw","year":"2020","unstructured":"Loblaw, A.: Ultrahypofractionation should be a standard of care option for intermediate-risk prostate cancer. Clin. Oncol. 32(3), 170\u2013174 (2020)","journal-title":"Clin. Oncol."},{"issue":"7","key":"52_CR2","doi-asserted-by":"publisher","first-page":"647","DOI":"10.1007\/s00066-020-01596-x","volume":"196","author":"F B\u00f6ckelmann","year":"2020","unstructured":"B\u00f6ckelmann, F., et al.: Adaptive radiotherapy and the dosimetric impact of inter- and intrafractional motion on the planning target volume for prostate cancer patients. Strahlenther. Onkol. 196(7), 647\u2013656 (2020)","journal-title":"Strahlenther. Onkol."},{"issue":"1","key":"52_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.clon.2013.11.002","volume":"26","author":"A Tree","year":"2014","unstructured":"Tree, A., Ostler, P., van As, N.: New horizons and hurdles for UK radiotherapy: can prostate stereotactic body radiotherapy show the way? Clin. Oncol. (R. Coll. Radiol.) 26(1), 1\u20133 (2014)","journal-title":"Clin. Oncol. (R. Coll. Radiol.)"},{"issue":"3","key":"52_CR4","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1007\/s00066-016-1084-7","volume":"193","author":"M Li","year":"2017","unstructured":"Li, M., et al.: Comparison of prostate positioning guided by three-dimensional transperineal ultrasound and cone beam CT. Strahlenther. Onkol. 193(3), 221\u2013228 (2017)","journal-title":"Strahlenther. Onkol."},{"issue":"1","key":"52_CR5","doi-asserted-by":"publisher","first-page":"e49","DOI":"10.1016\/j.clon.2016.07.002","volume":"29","author":"S Hilman","year":"2017","unstructured":"Hilman, S., et al.: Implementation of a daily transperineal ultrasound system as image-guided radiotherapy for prostate cancer. Clin. Oncol. (R. Coll. Radiol.) 29(1), e49 (2017)","journal-title":"Clin. Oncol. (R. Coll. Radiol.)"},{"issue":"12","key":"52_CR6","doi-asserted-by":"publisher","first-page":"122903","DOI":"10.1118\/1.4901642","volume":"41","author":"B Presles","year":"2014","unstructured":"Presles, B., et al.: Semiautomatic registration of 3D transabdominal ultrasound images for patient repositioning during postprostatectomy radiotherapy. Med. Phys. 41(12), 122903 (2014)","journal-title":"Med. Phys."},{"issue":"3","key":"52_CR7","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1016\/j.ejmp.2016.01.481","volume":"32","author":"M Fargier-Voiron","year":"2016","unstructured":"Fargier-Voiron, M., et al.: Evaluation of a new transperineal ultrasound probe for inter-fraction image-guidance for definitive and post-operative prostate cancer radiotherapy. Phys. Med. 32(3), 499\u2013505 (2016)","journal-title":"Phys. Med."},{"key":"52_CR8","doi-asserted-by":"crossref","unstructured":"Camps, S.M., et al.: Automatic transperineal ultrasound probe positioning based on CT scan for image guided radiotherapy. In: Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling (2017)","DOI":"10.1117\/12.2254254"},{"issue":"2","key":"52_CR9","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1016\/j.eng.2018.11.020","volume":"5","author":"S Liu","year":"2019","unstructured":"Liu, S., et al.: Deep learning in medical ultrasound analysis: a review. Engineering 5(2), 261\u2013275 (2019)","journal-title":"Engineering"},{"key":"52_CR10","doi-asserted-by":"crossref","unstructured":"Yang, X., et al.: Fine-grained recurrent neural networks for automatic prostate segmentation in ultrasound images. In: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. AAAI Press: San Francisco, California, USA, pp. 1633\u20131639 (2017)","DOI":"10.1609\/aaai.v31i1.10761"},{"issue":"2","key":"52_CR11","first-page":"021206","volume":"5","author":"E Bonmati","year":"2018","unstructured":"Bonmati, E., et al.: Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalizing neural network. J. Med. Imaging (Bellingham) 5(2), 021206 (2018)","journal-title":"J. Med. Imaging (Bellingham)"},{"issue":"11","key":"52_CR12","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":"52_CR13","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1109\/TMI.2017.2739110","volume":"37","author":"M Pesteie","year":"2018","unstructured":"Pesteie, M., et al.: Automatic localization of the needle target for ultrasound-guided epidural injections. IEEE Trans. Med. Imaging 37(1), 81\u201392 (2018)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"4","key":"52_CR14","doi-asserted-by":"publisher","first-page":"912","DOI":"10.1016\/j.ijrobp.2018.04.008","volume":"102","author":"A Grimwood","year":"2018","unstructured":"Grimwood, A., et al.: In vivo validation of elekta\u2019s clarity autoscan for ultrasound-based intrafraction motion estimation of the prostate during radiation therapy. Int. J. Radiat. Oncol. Biol. Phys. 102(4), 912\u2013921 (2018)","journal-title":"Int. J. Radiat. Oncol. Biol. Phys."},{"key":"52_CR15","doi-asserted-by":"crossref","unstructured":"Sandler, M., et al.: MobileNetV2: inverted residuals and linear bottlenecks. In: 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2018)","DOI":"10.1109\/CVPR.2018.00474"},{"issue":"2","key":"52_CR16","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1148\/radiology.178.2.1987587","volume":"178","author":"A Dwyer","year":"1991","unstructured":"Dwyer, A.: Matchmaking and McNemar in the comparison of diagnostic modalities. Radiology 178(2), 328\u2013330 (1991)","journal-title":"Radiology"},{"key":"52_CR17","doi-asserted-by":"crossref","unstructured":"Williams, G.W.: Comparing the joint agreement of several raters with another rater. Biometrics, 619\u2013627 (1976)","DOI":"10.2307\/2529750"},{"issue":"3","key":"52_CR18","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1177\/001316447303300309","volume":"33","author":"JL Fleiss","year":"1973","unstructured":"Fleiss, J.L., Cohen, J.: The equivalence of weighted kappa and the intraclass correlation coefficient as measures of reliability. Educ. Psychol. Measure. 33(3), 613\u2013619 (1973)","journal-title":"Educ. Psychol. Measure."},{"issue":"6","key":"52_CR19","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1016\/0895-4356(90)90159-M","volume":"43","author":"DV Cicchetti","year":"1990","unstructured":"Cicchetti, D.V., Feinstein, A.R.: High agreement but low kappa: II. Resolving the paradoxes. J. Clin. Epidemiol. 43(6), 551\u2013558 (1990)","journal-title":"J. Clin. Epidemiol."}],"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_52","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T22:04:08Z","timestamp":1759442648000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-59716-0_52"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030597153","9783030597160"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-59716-0_52","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)"}}]}}