{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T16:42:40Z","timestamp":1776444160275,"version":"3.51.2"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030013639","type":"print"},{"value":"9783030013646","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-01364-6_18","type":"book-chapter","created":{"date-parts":[[2018,10,16]],"date-time":"2018-10-16T05:41:20Z","timestamp":1539668480000},"page":"161-168","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images"],"prefix":"10.1007","author":[{"given":"Sekeun","family":"Kim","sequence":"first","affiliation":[]},{"given":"Yeonggul","family":"Jang","sequence":"additional","affiliation":[]},{"given":"Byunghwan","family":"Jeon","sequence":"additional","affiliation":[]},{"given":"Youngtaek","family":"Hong","sequence":"additional","affiliation":[]},{"given":"Hackjoon","family":"Shim","sequence":"additional","affiliation":[]},{"given":"Hyukjae","family":"Chang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,10,17]]},"reference":[{"issue":"2","key":"18_CR1","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1016\/j.compmedimag.2013.07.001","volume":"38","author":"S Balocco","year":"2014","unstructured":"Balocco, S., et al.: Standardized evaluation methodology and reference database for evaluating IVUS image segmentation. Comput. Med. Imaging Graph. 38(2), 70\u201390 (2014)","journal-title":"Comput. Med. Imaging Graph."},{"key":"18_CR2","unstructured":"Downe, R., et al.: Segmentation of intravascular ultrasound images using graph search and a novel cost function. In: Proceedings of the 2nd MICCAI Workshop on Computer Vision for Intravascular and Intracardiac Imaging, pp. 71\u201379. Citeseer (2008)"},{"key":"18_CR3","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1016\/j.ultras.2017.11.020","volume":"84","author":"M Faraji","year":"2018","unstructured":"Faraji, M., Cheng, I., Naudin, I., Basu, A.: Segmentation of arterial walls in intravascular ultrasound cross-sectional images using extremal region selection. Ultrasonics 84, 356\u2013365 (2018)","journal-title":"Ultrasonics"},{"key":"18_CR4","unstructured":"Glorot, X., Bengio, Y.: Understanding the difficulty of training deep feedforward neural networks. In: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, pp. 249\u2013256 (2010)"},{"issue":"2","key":"18_CR5","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.jcmg.2011.11.012","volume":"5","author":"K Hattori","year":"2012","unstructured":"Hattori, K., et al.: Impact of statin therapy on plaque characteristics as assessed by serial OCT, grayscale and integrated backscatterivus. JACC Cardiovasc. Imaging 5(2), 169\u2013177 (2012)","journal-title":"JACC Cardiovasc. Imaging"},{"key":"18_CR6","unstructured":"Ioffe, S., Szegedy, C.: Batch normalization: accelerating deep network training by reducing internal covariate shift. In: International Conference on Machine Learning, pp. 448\u2013456 (2015)"},{"key":"18_CR7","doi-asserted-by":"crossref","unstructured":"Jeelani, H., Martin, J., Vasquez, F., Salerno, M., Weller, D.S.: Image quality affects deep learning reconstruction of MRI. In: 2018 IEEE 15th International Symposium on Biomedical Imaging, pp. 357\u2013360 (2018)","DOI":"10.1109\/ISBI.2018.8363592"},{"key":"18_CR8","unstructured":"Kingma, D., Ba, J.: Adam: a method for stochastic optimization. In: International Conference on Learning Representations (ICLR) (2014)"},{"key":"18_CR9","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1097\u20131105 (2012)"},{"key":"18_CR10","doi-asserted-by":"crossref","unstructured":"Maturana, D., Scherer, S.: Voxnet: a 3D convolutional neural network for real-time object recognition. In: 2015 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 922\u2013928 (2015)","DOI":"10.1109\/IROS.2015.7353481"},{"key":"18_CR11","doi-asserted-by":"crossref","unstructured":"Mehta, R., Sivaswamy, J.: M-net: a convolutional neural network for deep brain structure segmentation. In: 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), pp. 437\u2013440 (2017)","DOI":"10.1109\/ISBI.2017.7950555"},{"key":"18_CR12","unstructured":"Nair, V., Hinton, G.E.: Rectified linear units improve restricted Boltzmann machines. In: Proceedings of the 27th International Conference on Machine Learning (ICML 2010), pp. 807\u2013814 (2010)"},{"key":"18_CR13","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). \n                      https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"key":"18_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1007\/978-3-540-74272-2_36","volume-title":"Computer Analysis of Images and Patterns","author":"D Rotger","year":"2007","unstructured":"Rotger, D., Radeva, P., Fern\u00e1ndez-Nofrer\u00edas, E., Mauri, J.: Blood detection in IVUS images for 3D volume of lumen changes measurement due to different drugs administration. In: Kropatsch, W.G., Kampel, M., Hanbury, A. (eds.) CAIP 2007. LNCS, vol. 4673, pp. 285\u2013292. Springer, Heidelberg (2007). \n                      https:\/\/doi.org\/10.1007\/978-3-540-74272-2_36"},{"key":"18_CR15","unstructured":"Sheet-Populations, S.F.: International cardiovascular disease statistics. American Heart Association (2004)"},{"issue":"4","key":"18_CR16","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1109\/42.476113","volume":"14","author":"M Sonka","year":"1995","unstructured":"Sonka, M., et al.: Segmentation of intravascular ultrasound images: a knowledge-based approach. IEEE Trans. Med. Imaging 14(4), 719\u2013732 (1995)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"18_CR17","doi-asserted-by":"crossref","unstructured":"Yang, J., Tong, L., Faraji, M., Basu, A.: IVUS-Net: an intravascular ultrasound segmentation network. In: International Conference of Smart Multimedia (2018)","DOI":"10.1007\/978-3-030-04375-9_31"},{"issue":"6","key":"18_CR18","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1109\/42.746622","volume":"17","author":"X Zhang","year":"1998","unstructured":"Zhang, X., McKay, C.R., Sonka, M.: Tissue characterization in intravascular ultrasound images. IEEE Trans. Med. Imaging 17(6), 889\u2013899 (1998)","journal-title":"IEEE Trans. Med. Imaging"}],"container-title":["Lecture Notes in Computer Science","Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-01364-6_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T04:58:06Z","timestamp":1558328286000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-01364-6_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030013639","9783030013646"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01364-6_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"17 October 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"LABELS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Granada","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"labels2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/labels.tue-image.nl\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}