{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T10:43:46Z","timestamp":1768560226223,"version":"3.49.0"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030367077","type":"print"},{"value":"9783030367084","type":"electronic"}],"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\/978-3-030-36708-4_40","type":"book-chapter","created":{"date-parts":[[2019,12,12]],"date-time":"2019-12-12T10:24:22Z","timestamp":1576146262000},"page":"491-500","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Real-Time Guidewire Segmentation and Tracking in Endovascular Aneurysm Repair"],"prefix":"10.1007","author":[{"given":"Yan-Jie","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Xiao-Liang","family":"Xie","sequence":"additional","affiliation":[]},{"given":"Gui-Bin","family":"Bian","sequence":"additional","affiliation":[]},{"given":"Zeng-Guang","family":"Hou","sequence":"additional","affiliation":[]},{"given":"Bao","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Zhi-Chao","family":"Lai","sequence":"additional","affiliation":[]},{"given":"Xin-Kai","family":"Qu","sequence":"additional","affiliation":[]},{"given":"Shi-Qi","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Xiao-Hu","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,12,9]]},"reference":[{"issue":"22","key":"40_CR1","doi-asserted-by":"publisher","first-page":"2101","DOI":"10.1056\/NEJMcp1401430","volume":"371","author":"KC Kent","year":"2014","unstructured":"Kent, K.C.: Abdominal aortic aneurysms. N. Engl. J. Med. 371(22), 2101\u20132108 (2014)","journal-title":"N. Engl. J. Med."},{"issue":"2","key":"40_CR2","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1038\/nrcardio.2013.196","volume":"11","author":"DB Buck","year":"2014","unstructured":"Buck, D.B., Van Herwaarden, J.A., Schermerhorn, M.L., Moll, F.L.: Endovascular treatment of abdominal aortic aneurysms. Nat. Rev. Cardiol. 11(2), 112 (2014)","journal-title":"Nat. Rev. Cardiol."},{"key":"40_CR3","doi-asserted-by":"crossref","unstructured":"Wu, W., et al.: Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy. In: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1097\u20131104. IEEE (2011)","DOI":"10.1109\/CVPR.2011.5995553"},{"key":"40_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1007\/978-3-319-66185-8_65","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2017","author":"P Ambrosini","year":"2017","unstructured":"Ambrosini, P., Ruijters, D., Niessen, W.J., Moelker, A., van Walsum, T.: Fully automatic and real-time catheter segmentation in X-Ray fluoroscopy. In: Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D.L., Duchesne, S. (eds.) MICCAI 2017, Part II. LNCS, vol. 10434, pp. 577\u2013585. Springer, Cham (2017). \nhttps:\/\/doi.org\/10.1007\/978-3-319-66185-8_65"},{"issue":"8","key":"40_CR5","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1109\/TMI.2003.815904","volume":"22","author":"SA Baert","year":"2003","unstructured":"Baert, S.A., Viergever, M.A., Niessen, W.J.: Guide-wire tracking during endovascular interventions. IEEE Trans. Med. Imaging 22(8), 965\u2013972 (2003)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"3","key":"40_CR6","doi-asserted-by":"publisher","first-page":"544","DOI":"10.1109\/TMI.2012.2228879","volume":"32","author":"H Heibel","year":"2013","unstructured":"Heibel, H., Glocker, B., Groher, M., Pfister, M., Navab, N.: Interventional tool tracking using discrete optimization. IEEE Trans. Med. Imaging 32(3), 544\u2013555 (2013)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"40_CR7","doi-asserted-by":"crossref","unstructured":"Wu, Y.D., et al.: Automatic guidewire tip segmentation in 2D X-ray fluoroscopy using convolution neural networks. In: International Joint Conference on Neural Networks (IJCNN), pp. 1\u20137. IEEE (2018)","DOI":"10.1109\/IJCNN.2018.8489337"},{"key":"40_CR8","doi-asserted-by":"crossref","unstructured":"Lin, T., Goyal, P., Girshick, R., He, K., Dollr, P.: Focal loss for dense object detection. In: International Conference on Computer Vision (ICCV), pp. 2999\u20133007. IEEE (2017)","DOI":"10.1109\/ICCV.2017.324"},{"key":"40_CR9","doi-asserted-by":"crossref","unstructured":"Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., Chen, L.C.: MobileNetV2: inverted residuals and linear bottlenecks. In: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4510\u20134520. IEEE (2018)","DOI":"10.1109\/CVPR.2018.00474"},{"key":"40_CR10","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 770\u2013778. IEEE (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"40_CR11","doi-asserted-by":"crossref","unstructured":"Zeiler, M.D., Taylor, G.W., Fergus, R.: Adaptive deconvolutional networks for mid and high level feature learning. In: International Conference on Computer Vision (ICCV), pp. 2018\u20132025. IEEE (2011)","DOI":"10.1109\/ICCV.2011.6126474"},{"key":"40_CR12","unstructured":"Oktay, O., Schlemper, J., Folgoc, L.L., Lee, M.: Attention U-Net: learning where to look for the pancreas. arXiv preprint: \narXiv:1804.03999\n\n (2018)"},{"key":"40_CR13","unstructured":"Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. arXiv preprint: \narXiv:1409.0473\n\n (2014)"},{"key":"40_CR14","doi-asserted-by":"crossref","unstructured":"Oquab, M., Bottou, L., Laptev, I., Sivic, J.: Learning and transferring mid-level image representations using convolutional neural networks. In: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1717\u20131724. IEEE (2014)","DOI":"10.1109\/CVPR.2014.222"},{"key":"40_CR15","doi-asserted-by":"crossref","unstructured":"Zhou, B., Khosla, A., Lapedriza, A., Oliva, A., Torralba, A.: Learning deep features for discriminative localization. In: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2921\u20132929. IEEE (2016)","DOI":"10.1109\/CVPR.2016.319"},{"key":"40_CR16","doi-asserted-by":"crossref","unstructured":"Li, B., Liu, Y., Wang, X.: Gradient harmonized single-stage detector. arXiv preprint: \narXiv:1811.05181\n\n (2018)","DOI":"10.1609\/aaai.v33i01.33018577"},{"key":"40_CR17","doi-asserted-by":"crossref","unstructured":"Heibela, T.H., Glockera, B., Grohera, M., Paragios, N., Komodakis, N., Navaba, N.: Discrete tracking of parametrized curves. In: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1754\u20131761. IEEE (2009)","DOI":"10.1109\/CVPR.2009.5206714"},{"key":"40_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1007\/978-3-642-15711-0_55","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2010","author":"N Honnorat","year":"2010","unstructured":"Honnorat, N., Vaillant, R., Paragios, N.: Guide-wire extraction through perceptual organization of local segments in fluoroscopic images. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010, Part III. LNCS, vol. 6363, pp. 440\u2013448. Springer, Heidelberg (2010). \nhttps:\/\/doi.org\/10.1007\/978-3-642-15711-0_55"},{"key":"40_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-Net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015, Part III. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). \nhttps:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"issue":"7","key":"40_CR20","doi-asserted-by":"publisher","first-page":"946","DOI":"10.1093\/europace\/eut409","volume":"16","author":"H Heidbuchel","year":"2014","unstructured":"Heidbuchel, H., Wittkampf, F.H., Vano, E., Ernst, S., Schilling, R.: Practical ways to reduce radiation dose for patients and staff during device implantations and electrophysiological procedures. Europace 16(7), 946\u2013964 (2014)","journal-title":"Europace"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-36708-4_40","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,12,12]],"date-time":"2019-12-12T10:50:19Z","timestamp":1576147819000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-36708-4_40"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030367077","9783030367084"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-36708-4_40","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"9 December 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sydney, NSW","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","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":"12 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ajiips.com.au\/iconip2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}