{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:35:04Z","timestamp":1765546504885,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030322533"},{"type":"electronic","value":"9783030322540"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-32254-0_21","type":"book-chapter","created":{"date-parts":[[2019,10,9]],"date-time":"2019-10-09T23:08:49Z","timestamp":1570662529000},"page":"182-190","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Learning to Detect Collisions for Continuum Manipulators Without a Prior Model"],"prefix":"10.1007","author":[{"given":"Shahriar","family":"Sefati","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shahin","family":"Sefati","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Iulian","family":"Iordachita","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Russell H.","family":"Taylor","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehran","family":"Armand","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,10,10]]},"reference":[{"key":"21_CR1","doi-asserted-by":"crossref","unstructured":"Bajo, A., Simaan, N.: Finding lost wrenches: using continuum robots for contact detection and estimation of contact location. In: 2010 IEEE International Conference on Robotics and Automation, pp. 3666\u20133673. IEEE (2010)","DOI":"10.1109\/ROBOT.2010.5509569"},{"issue":"2","key":"21_CR2","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1109\/TRO.2011.2175761","volume":"28","author":"A Bajo","year":"2012","unstructured":"Bajo, A., Simaan, N.: Kinematics-based detection and localization of contacts along multisegment continuum robots. IEEE Trans. Robot. 28(2), 291\u2013302 (2012)","journal-title":"IEEE Trans. Robot."},{"issue":"6","key":"21_CR3","doi-asserted-by":"publisher","first-page":"1261","DOI":"10.1109\/TRO.2015.2489500","volume":"31","author":"J Burgner-Kahrs","year":"2015","unstructured":"Burgner-Kahrs, J., Rucker, D.C., Choset, H.: Continuum robots for medical applications: a survey. IEEE Trans. Robot. 31(6), 1261\u20131280 (2015)","journal-title":"IEEE Trans. Robot."},{"issue":"3","key":"21_CR4","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1117\/1.482677","volume":"8","author":"ML Comer","year":"1999","unstructured":"Comer, M.L., Delp, E.J.: Morphological operations for color image processing. J. Electron. Imaging 8(3), 279\u2013290 (1999)","journal-title":"J. Electron. Imaging"},{"issue":"5","key":"21_CR5","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1214\/aos\/1013203451","volume":"29","author":"JH Friedman","year":"2001","unstructured":"Friedman, J.H.: Greedy function approximation: a gradient boosting machine. Ann. Stat. 29(5), 1189\u20131232 (2001)","journal-title":"Ann. Stat."},{"issue":"9","key":"21_CR6","doi-asserted-by":"publisher","first-page":"1977","DOI":"10.1016\/j.patcog.2008.10.013","volume":"42","author":"L He","year":"2009","unstructured":"He, L., Chao, Y., Suzuki, K., Wu, K.: Fast connected-component labeling. Pattern Recogn. 42(9), 1977\u20131987 (2009)","journal-title":"Pattern Recogn."},{"key":"21_CR7","series-title":"Informatik aktuell","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1007\/978-3-658-25326-4_58","volume-title":"Bildverarbeitung f\u00fcr die Medizin 2019","author":"S J\u00e4ckle","year":"2019","unstructured":"J\u00e4ckle, S., Strehlow, J., Heldmann, S.: Shape sensing with fiber Bragg grating sensors. Bildverarbeitung f\u00fcr die Medizin 2019. I, pp. 258\u2013263. Springer, Wiesbaden (2019). https:\/\/doi.org\/10.1007\/978-3-658-25326-4_58"},{"key":"21_CR8","doi-asserted-by":"crossref","unstructured":"Khan, F., Denasi, A., Barrera, D., Madrigal, J., Sales, S., Misra, S.: Multi-core optical fibers with Bragg gratings as shape sensor for flexible medical instruments. IEEE Sens. J. (2019)","DOI":"10.1109\/JSEN.2019.2905010"},{"key":"21_CR9","doi-asserted-by":"crossref","unstructured":"Lai, W., Cao, L., Xu, Z., Phan, P.T., Shum, P., Phee, S.J.: Distal end force sensing with optical fiber Bragg gratings for tendon-sheath mechanisms in flexible endoscopic robots. In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 1\u20135. IEEE (2018)","DOI":"10.1109\/ICRA.2018.8461090"},{"key":"21_CR10","doi-asserted-by":"crossref","unstructured":"Li, J., Xiao, J.: Exact and efficient collision detection for a multi-section continuum manipulator. In: 2012 IEEE International Conference on Robotics and Automation, pp. 4340\u20134346. IEEE (2012)","DOI":"10.1109\/ICRA.2012.6225025"},{"key":"21_CR11","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"issue":"2","key":"21_CR12","doi-asserted-by":"publisher","first-page":"1424","DOI":"10.1109\/LRA.2019.2896451","volume":"4","author":"N Rahman","year":"2019","unstructured":"Rahman, N., Deaton, N.J., Sheng, J., Cheng, S.S., Desai, J.P.: Modular FBG bending sensor for continuum neurosurgical robot. IEEE Robot. Autom. Lett. 4(2), 1424\u20131430 (2019)","journal-title":"IEEE Robot. Autom. Lett."},{"key":"21_CR13","doi-asserted-by":"crossref","unstructured":"Sefati, S., Alambeigi, F., Iordachita, I., Armand, M., Murphy, R.J.: FBG-based large deflection shape sensing of a continuum manipulator: manufacturing optimization. In: 2016 IEEE SENSORS, pp. 1\u20133. IEEE (2016)","DOI":"10.1109\/ICSENS.2016.7808910"},{"key":"21_CR14","doi-asserted-by":"crossref","unstructured":"Sefati, S., Alambeigi, F., Iordachita, I., Taylor, R.H., Armand, M.: On the effect of vibration on shape sensing of continuum manipulators using fiber Bragg gratings. In: 2018 International Symposium on Medical Robotics (ISMR), pp. 1\u20136. IEEE (2018)","DOI":"10.1109\/ISMR.2018.8333303"},{"key":"21_CR15","doi-asserted-by":"crossref","unstructured":"Sefati, S., Hegeman, R., Alambeigi, F., Iordachita, I., Armand, M.: FBG-based position estimation of highly deformable continuum manipulators: Model-dependent vs. data-driven approaches. In: 2019 International Symposium on Medical Robotics (ISMR), pp. 1\u20136. IEEE (2019)","DOI":"10.1109\/ISMR.2019.8710179"},{"key":"21_CR16","doi-asserted-by":"crossref","unstructured":"Sefati, S., et al.: FBG-based control of a continuum manipulator interacting with obstacles. In: 2018 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 6477\u20136483. IEEE (2018)","DOI":"10.1109\/IROS.2018.8594407"},{"key":"21_CR17","doi-asserted-by":"crossref","unstructured":"Sefati, S., Pozin, M., Alambeigi, F., Iordachita, I., Taylor, R.H., Armand, M.: A highly sensitive fiber Bragg grating shape sensor for continuum manipulators with large deflections. In: 2017 IEEE SENSORS, pp. 1\u20133. IEEE (2017)","DOI":"10.1109\/ICSENS.2017.8234018"},{"issue":"8","key":"21_CR18","doi-asserted-by":"publisher","first-page":"1665","DOI":"10.1109\/TBME.2016.2622361","volume":"64","author":"C Shi","year":"2017","unstructured":"Shi, C., et al.: Shape sensing techniques for continuum robots in minimally invasive surgery: a survey. IEEE Trans. Biomed. Eng. 64(8), 1665\u20131678 (2017)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"2","key":"21_CR19","doi-asserted-by":"publisher","first-page":"1052","DOI":"10.1109\/LRA.2016.2530867","volume":"1","author":"R Xu","year":"2016","unstructured":"Xu, R., Yurkewich, A., Patel, R.V.: Curvature, torsion, and force sensing in continuum robots using helically wrapped FBG sensors. IEEE Robot. Autom. Lett. 1(2), 1052\u20131059 (2016)","journal-title":"IEEE Robot. Autom. Lett."}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2019"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-32254-0_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T00:11:49Z","timestamp":1728519109000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-32254-0_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030322533","9783030322540"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-32254-0_21","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":"10 October 2019","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":"Shenzhen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"13 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.miccai2019.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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1730","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":"539","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":"31% - 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":"3.07","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":"6.31","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":"This content has been made available to all.","name":"free","label":"Free to read"}]}}