{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T01:31:35Z","timestamp":1743039095236,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319675428"},{"type":"electronic","value":"9783319675435"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","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":[[2017]]},"DOI":"10.1007\/978-3-319-67543-5_1","type":"book-chapter","created":{"date-parts":[[2017,9,7]],"date-time":"2017-09-07T09:41:58Z","timestamp":1504777318000},"page":"3-15","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Shape-Based Pose Estimation of Robotic Surgical Instruments"],"prefix":"10.1007","author":[{"given":"Daniel","family":"Wesierski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sebastian","family":"Cygert","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,9,8]]},"reference":[{"key":"1_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1007\/978-3-319-24553-9_41","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"M Allan","year":"2015","unstructured":"Allan, M., Chang, P.-L., Ourselin, S., Hawkes, D.J., Sridhar, A., Kelly, J., Stoyanov, D.: Image based surgical instrument pose estimation with multi-class labelling and optical flow. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9349, pp. 331\u2013338. Springer, Cham (2015). doi:\n                      10.1007\/978-3-319-24553-9_41"},{"issue":"12","key":"1_CR2","doi-asserted-by":"publisher","first-page":"2603","DOI":"10.1109\/TMI.2015.2450831","volume":"34","author":"D Bouget","year":"2015","unstructured":"Bouget, D., Benenson, R., Omran, M., Riffaud, L., Schiele, B., Jannin, P.: Detecting surgical tools by modelling local appearance and global shape. IEEE Trans. Med. Imaging 34(12), 2603\u20132617 (2015)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"1_CR3","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1016\/j.media.2016.09.003","volume":"35","author":"D Bouget","year":"2017","unstructured":"Bouget, D., Allan, M., Stoyanov, D., Jannin, P.: Vision-based and marker-less surgical tool detection and tracking: a review of the literature. Med. Image Anal. 35, 633\u2013654 (2017)","journal-title":"Med. Image Anal."},{"issue":"6","key":"1_CR4","doi-asserted-by":"publisher","first-page":"1109","DOI":"10.1007\/s11548-016-1393-4","volume":"11","author":"X Du","year":"2016","unstructured":"Du, X., Allan, M., Dore, A., Ourselin, S., Hawkes, D., Kelly, J.D., Stoyanov, D.: Combined 2D and 3D tracking of surgical instruments for minimally invasive and robotic-assisted surgery. Int. J. Comput. Assist. Radiol. Surgery 11(6), 1109\u20131119 (2016)","journal-title":"Int. J. Comput. Assist. Radiol. Surgery"},{"issue":"5","key":"1_CR5","doi-asserted-by":"publisher","first-page":"876","DOI":"10.1109\/TPAMI.2011.206","volume":"34","author":"S Hinterstoisser","year":"2012","unstructured":"Hinterstoisser, S., Cagniart, C., Ilic, S., Sturm, P., Navab, N., Fua, P., Lepetit, V.: Gradient response maps for real-time detection of textureless objects. IEEE Trans. Pattern Anal. Mach. Intell. 34(5), 876\u2013888 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1_CR6","unstructured":"Laina, I., Rieke, N., Rupprecht, C., Vizcano, J. P., Eslami, A., Tombari, F., Navab, N.: Concurrent segmentation and localization for tracking of surgical instruments. arXiv preprint (2017). \n                      arXiv:1703.10701"},{"key":"1_CR7","doi-asserted-by":"crossref","unstructured":"Malisiewicz, T., Efros, A.A.: Improving spatial support for objects via multiple segmentations. In: British Machine Vision Conference (2007)","DOI":"10.5244\/C.21.55"},{"key":"1_CR8","doi-asserted-by":"crossref","unstructured":"Malisiewicz, T., Gupta, A., Efros, A.A.: Ensemble of exemplar-SVMs for object detection and beyond. In: International Conference on Computer Vision, pp. 89\u201396 (2011)","DOI":"10.1109\/ICCV.2011.6126229"},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"Padoy, N., Hager, G.D.: Deformable tracking of textured curvilinear objects. In: British Machine Vision Conference, pp. 1\u201311 (2012)","DOI":"10.5244\/C.26.5"},{"key":"1_CR10","doi-asserted-by":"crossref","unstructured":"Pezzementi, Z., Voros, S., Hager, G.D.: Articulated object tracking by rendering consistent appearance parts. In: IEEE International Conference on Robotics and Automation, pp. 3940\u20133947 (2009)","DOI":"10.1109\/ROBOT.2009.5152374"},{"key":"1_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"592","DOI":"10.1007\/978-3-642-33418-4_73","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2012","author":"A Reiter","year":"2012","unstructured":"Reiter, A., Allen, P.K., Zhao, T.: Feature classification for tracking articulated surgical tools. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) MICCAI 2012. LNCS, vol. 7511, pp. 592\u2013600. Springer, Heidelberg (2012). doi:\n                      10.1007\/978-3-642-33418-4_73"},{"key":"1_CR12","unstructured":"Reiter, A., Allen, P.K., Zhao, T.: Marker-less articulated surgical tool detection. Comput. Assist. Radiol. Surg. (2012)"},{"key":"1_CR13","doi-asserted-by":"publisher","first-page":"1542","DOI":"10.1109\/TMI.2017.2665671","volume":"36","author":"D Sarikaya","year":"2017","unstructured":"Sarikaya, D., Corso, J., Guru, K.: Detection and localization of robotic tools in robot-assisted surgery videos using deep neural networks for region proposal and detection. IEEE Trans. Med. Imaging 36, 1542\u20131549 (2017)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"1_CR14","doi-asserted-by":"crossref","unstructured":"Staub, C., Lenz, C., Panin, G., Knoll, A., Bauernschmitt, R.: Contour-based surgical instrument tracking supported by kinematic prediction. In: RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, pp. 746\u2013752 (2010)","DOI":"10.1109\/BIOROB.2010.5628075"},{"key":"1_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"692","DOI":"10.1007\/978-3-319-10470-6_86","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014","author":"R Sznitman","year":"2014","unstructured":"Sznitman, R., Becker, C., Fua, P.: Fast part-based classification for instrument detection in minimally invasive surgery. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014. LNCS, vol. 8674, pp. 692\u2013699. Springer, Cham (2014). doi:\n                      10.1007\/978-3-319-10470-6_86"},{"key":"1_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1007\/978-3-319-29965-5_3","volume-title":"Computer-Assisted and Robotic Endoscopy","author":"D Wesierski","year":"2016","unstructured":"Wesierski, D., Wojdyga, G., Jezierska, A.: Instrument tracking with rigid part mixtures model. In: Luo, X., Reichl, T., Reiter, A., Mariottini, G.-L. (eds.) CARE 2015. LNCS, vol. 9515, pp. 22\u201334. Springer, Cham (2016). doi:\n                      10.1007\/978-3-319-29965-5_3"},{"key":"1_CR17","doi-asserted-by":"crossref","unstructured":"Yang, G.-Z., Cambias, J., Cleary, K., Daimler, E., Drake, J., Dupont, P., Hata, N., Kazanzides, P., Martel, S., et al.: Medical robotics - regulatory, ethical, and legal considerations for increasing levels of autonomy. Sci. Robot. 2(4), eaam8638 (2017)","DOI":"10.1126\/scirobotics.aam8638"},{"key":"1_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1007\/978-3-319-46720-7_45","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2016","author":"M Ye","year":"2016","unstructured":"Ye, M., Zhang, L., Giannarou, S., Yang, G.-Z.: Real-time 3D tracking of articulated tools for robotic surgery. In: Ourselin, S., Joskowicz, L., Sabuncu, M.R., Unal, G., Wells, W. (eds.) MICCAI 2016. LNCS, vol. 9900, pp. 386\u2013394. Springer, Cham (2016). doi:\n                      10.1007\/978-3-319-46720-7_45"}],"container-title":["Lecture Notes in Computer Science","Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-67543-5_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T02:42:37Z","timestamp":1558320157000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-67543-5_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319675428","9783319675435"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-67543-5_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"8 September 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}