{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T08:22:30Z","timestamp":1726042950250},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030307530"},{"type":"electronic","value":"9783030307547"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-30754-7_25","type":"book-chapter","created":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T23:02:23Z","timestamp":1567378943000},"page":"244-251","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Nerve Contour Tracking for Ultrasound-Guided Regional Anesthesia"],"prefix":"10.1007","author":[{"given":"Xavier","family":"Cort\u00e9s","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donatello","family":"Conte","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pascal","family":"Makris","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,9,2]]},"reference":[{"key":"25_CR1","doi-asserted-by":"publisher","first-page":"490","DOI":"10.1137\/040616024","volume":"4","author":"A Buades","year":"2005","unstructured":"Buades, A., Coll, B., Morel, J.M.: A review of image denoising algorithms, with a new one. Multiscale Model. Simul. 4, 490\u2013530 (2005)","journal-title":"Multiscale Model. Simul."},{"key":"25_CR2","doi-asserted-by":"crossref","unstructured":"Babenko, B., Yang, M.-H., Belongie, S.J.: Visual tracking with online multiple instance learning. In: Computer Vision and Pattern Recognition, CVPR, pp. 983\u2013990. IEEE (2009)","DOI":"10.1109\/CVPRW.2009.5206737"},{"key":"25_CR3","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1109\/TPAMI.1986.4767851","volume":"8","author":"J Canny","year":"1986","unstructured":"Canny, J.: A computational approach to edge detection. Pattern Anal. Mach. Intell. 8, 679\u2013698 (1986)","journal-title":"Pattern Anal. Mach. Intell."},{"key":"25_CR4","doi-asserted-by":"crossref","unstructured":"Hadjerci, O., Hafiane, A., Conte, D., Markis, P., Vieyres, P., Delbos., A.: Ultrasound median nerve localization by classification based on despeckle filtering and feature selection. In: 2015 IEEE International Conference on Image Processing, ICIP 2015, Quebec City, QC, Canada, 27\u201330 September 2015, pp. 4155\u20134159 (2015)","DOI":"10.1109\/ICIP.2015.7351588"},{"key":"25_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1007\/978-3-319-11755-3_15","volume-title":"Image Analysis and Recognition","author":"O Hadjerci","year":"2014","unstructured":"Hadjerci, O., Hafiane, A., Makris, P., Conte, D., Vieyres, P., Delbos, A.: Nerve detection in ultrasound images using median Gabor binary pattern. In: Campilho, A., Kamel, M. (eds.) ICIAR 2014. LNCS, vol. 8815, pp. 132\u2013140. Springer, Cham (2014). \n                      https:\/\/doi.org\/10.1007\/978-3-319-11755-3_15"},{"key":"25_CR6","doi-asserted-by":"crossref","unstructured":"Hadjerci, O., Hafiane, A., Vieyres, P., Conte, D., Makris, P., Delbos, A.: On-line learning dynamic models for nerve detection in ultrasound videos. In: 2016 IEEE International Conference on Image Processing (ICIP), pp. 131\u2013135. IEEE (2016)","DOI":"10.1109\/ICIP.2016.7532333"},{"key":"25_CR7","doi-asserted-by":"crossref","unstructured":"Grabner, H., Grabner, M., Bischof, H.: Real-time tracking via on-line boosting. In: British Machine Vision Conference, BMVC, vol. 1 (2006)","DOI":"10.5244\/C.20.6"},{"key":"25_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"702","DOI":"10.1007\/978-3-642-33765-9_50","volume-title":"Computer Vision \u2013 ECCV 2012","author":"JF Henriques","year":"2012","unstructured":"Henriques, J.F., Caseiro, R., Martins, P., Batista, J.: Exploiting the circulant structure of tracking-by-detection with Kernels. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7575, pp. 702\u2013715. Springer, Heidelberg (2012). \n                      https:\/\/doi.org\/10.1007\/978-3-642-33765-9_50"},{"key":"25_CR9","doi-asserted-by":"crossref","unstructured":"Danelljan, M., Khan, F.S., Felsberg, M., van de Weijer, J.: Adaptive color attributes for real-time visual tracking. In: Computer Vision and Pattern Recognition, CVPR, pp. 1090\u20131097. IEEE (2014)","DOI":"10.1109\/CVPR.2014.143"},{"issue":"5","key":"25_CR10","doi-asserted-by":"publisher","first-page":"632","DOI":"10.1097\/ACO.0b013e32833e2891","volume":"23","author":"P Marhofer","year":"2010","unstructured":"Marhofer, P., Willschke, H., Kettner, S.: Current concepts and future trends in ultrasound-guided regional anesthesia. Curr. Opin. Anesthesiol. 23(5), 632\u2013636 (2010)","journal-title":"Curr. Opin. Anesthesiol."},{"key":"25_CR11","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1117\/1.1631315","volume":"13","author":"M Sezgin","year":"2004","unstructured":"Sezgin, M., Sankur, B.: Survey over image thresholding techniques and quantitative performance evaluation. Electron. Imaging 13, 146\u2013168 (2004)","journal-title":"Electron. Imaging"},{"key":"25_CR12","unstructured":"Thouin, E., Hafiane, A., Vieyres, P., Xylourgos, N., Triantafyllidis, G., Papadourakis, G.: Nerve region segmentation for ultrasound guided local regional anaesthesia (LRA). In: Mediterranean Conference on Information Systems (2011)"},{"issue":"2","key":"25_CR13","first-page":"473","volume":"112","author":"BC Tsui","year":"2010","unstructured":"Tsui, B.C., Suresh, S.: Ultrasound imaging for regional anesthesia in infants, children, and adolescentsa review of current literature and its application in the practice of extremity and trunk blocks. Anesthesiol. J. Am. Soc. Anesthesiol. 112(2), 473\u2013492 (2010)","journal-title":"Anesthesiol. J. Am. Soc. Anesthesiol."},{"key":"25_CR14","doi-asserted-by":"crossref","unstructured":"Karnati, V., Uliyar, M., Dey, S.: Fast non-local algorithm for image denoising. In: International Conference on Image Processing, ICIP, pp. 3873\u20133876 (2009)","DOI":"10.1109\/ICIP.2009.5414044"},{"issue":"3","key":"25_CR15","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1016\/j.jclinane.2013.10.013","volume":"26","author":"GE Woodworth","year":"2014","unstructured":"Woodworth, G.E., Chen, E.M., Horn, J.L.E., Aziz, M.F.: Efficacy of computer-based video and simulation in ultrasound-guided regional anesthesia training. J. Clin. Anesth. 26(3), 212\u2013221 (2014)","journal-title":"J. Clin. Anesth."},{"key":"25_CR16","unstructured":"Kalal, Z., Mikolajczyk, K., Matas, J.: A computational approach to edge detection. In: International Conference on Pattern Recognition, ICPR, pp. 2756\u20132759. IEEE (2010)"}],"container-title":["Lecture Notes in Computer Science","New Trends in Image Analysis and Processing \u2013 ICIAP 2019"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-30754-7_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T23:03:24Z","timestamp":1567379004000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-30754-7_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030307530","9783030307547"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-30754-7_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"2 September 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Trento","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/event.unitn.it\/iciap2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"207","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":"117","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":"57% - 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":"2.6","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}