{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T15:14:38Z","timestamp":1750173278623,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319700922"},{"type":"electronic","value":"9783319700939"}],"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\/978-3-319-70093-9_81","type":"book-chapter","created":{"date-parts":[[2017,10,23]],"date-time":"2017-10-23T22:48:48Z","timestamp":1508798928000},"page":"759-768","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Thin-Cap Fibroatheroma Detection with Deep Neural Networks"],"prefix":"10.1007","author":[{"given":"Tae Joon","family":"Jun","sequence":"first","affiliation":[]},{"given":"Soo-Jin","family":"Kang","sequence":"additional","affiliation":[]},{"given":"June-Goo","family":"Lee","sequence":"additional","affiliation":[]},{"given":"Jihoon","family":"Kweon","sequence":"additional","affiliation":[]},{"given":"Wonjun","family":"Na","sequence":"additional","affiliation":[]},{"given":"Daeyoun","family":"Kang","sequence":"additional","affiliation":[]},{"given":"Dohyeun","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Daeyoung","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Young-hak","family":"Kim","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,24]]},"reference":[{"issue":"8 Suppl.","key":"81_CR1","doi-asserted-by":"publisher","first-page":"C13","DOI":"10.1016\/j.jacc.2005.10.065","volume":"47","author":"R Virmani","year":"2006","unstructured":"Virmani, R., Burke, A.P., Farb, A., et al.: Pathology of the vulnerable plaque. J. Am. Coll. Cardiol. 47(8 Suppl.), C13\u2013C18 (2006)","journal-title":"J. Am. Coll. Cardiol."},{"issue":"5","key":"81_CR2","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1097\/00001573-200109000-00006","volume":"16","author":"FD Kolodgie","year":"2001","unstructured":"Kolodgie, F.D., Burke, A.P., Farb, A., et al.: The thin-cap fibroatheroma: a type of vulnerable plaque: the major precursor lesion to acute coronary syndromes. Curr. Opin. Cardiol. 16(5), 285\u2013292 (2001)","journal-title":"Curr. Opin. Cardiol."},{"key":"81_CR3","doi-asserted-by":"publisher","first-page":"604","DOI":"10.1161\/01.CIR.103.4.604","volume":"103","author":"SE Nissen","year":"2001","unstructured":"Nissen, S.E., Yock, P.: Intravascular ultrasound novel pathophysiological insights and current clinical applications. Circulation 103, 604\u2013616 (2001)","journal-title":"Circulation"},{"issue":"12","key":"81_CR4","doi-asserted-by":"publisher","first-page":"1551","DOI":"10.1161\/01.CIR.0000159354.43778.69","volume":"111","author":"IK Jang","year":"2005","unstructured":"Jang, I.K., Tearney, G.J., MacNeill, B., et al.: In vivo characterization of coronary atherosclerotic plaque by use of optical coherence tomography. Circulation 111(12), 1551\u20131555 (2005)","journal-title":"Circulation"},{"key":"81_CR5","volume-title":"Statistical Methods for Research Workers","author":"RA Fisher","year":"1925","unstructured":"Fisher, R.A.: Statistical Methods for Research Workers. Genesis Publishing Pvt. Ltd., Delhi (1925)"},{"key":"81_CR6","unstructured":"Glorot, X., Bengio, Y.: Understanding the difficulty of training deep feedforward neural networks. In: AISTATS, vol. 9, pp. 249\u2013256 (2010)"},{"key":"81_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1007\/978-3-319-24571-3_72","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"L Zhang","year":"2015","unstructured":"Zhang, L., Wahle, A., Chen, Z., Lopez, J., Kovarnik, T., Sonka, M.: Prospective prediction of thin-cap fibroatheromas from baseline virtual histology intravascular ultrasound data. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9350, pp. 603\u2013610. Springer, Cham (2015). doi:10.1007\/978-3-319-24571-3_72"},{"issue":"11","key":"81_CR8","doi-asserted-by":"publisher","first-page":"2038","DOI":"10.1016\/j.jacc.2005.07.064","volume":"46","author":"GA Rodriguez-Granillo","year":"2005","unstructured":"Rodriguez-Granillo, G.A., Garc\u00eda-Garc\u00eda, H.M., McFadden, E.P., et al.: In vivo intravascular ultrasound-derived thin-cap fibroatheroma detection using ultrasound radiofrequency data analysis. J. Am. Coll. Cardiol. 46(11), 2038\u20132042 (2005)","journal-title":"J. Am. Coll. Cardiol."},{"issue":"9","key":"81_CR9","doi-asserted-by":"publisher","first-page":"1136","DOI":"10.1093\/eurheartj\/ehn132","volume":"29","author":"T Sawada","year":"2008","unstructured":"Sawada, T., Shite, J., Garcia-Garcia, H.M., et al.: Feasibility of combined use of intravascular ultrasound radiofrequency data analysis and optical coherence tomography for detecting thin-cap fibroatheroma. Eur. Heart J. 29(9), 1136\u20131146 (2008)","journal-title":"Eur. Heart J."},{"issue":"8","key":"81_CR10","first-page":"894","volume":"4","author":"PA Calvert","year":"2011","unstructured":"Calvert, P.A., Obaid, D.R., O\u2019Sullivan, M., et al.: Association between IVUS findings and adverse outcomes in patients with coronary artery disease. JACC: Cardiovasc. Imaging 4(8), 894\u2013901 (2011)","journal-title":"JACC: Cardiovasc. Imaging"},{"issue":"20","key":"81_CR11","doi-asserted-by":"publisher","first-page":"2456","DOI":"10.1093\/eurheartj\/ehq280","volume":"31","author":"HM Garcia-Garcia","year":"2010","unstructured":"Garcia-Garcia, H.M., Costa, M.A., Serruys, P.W.: Imaging of coronary atherosclerosis: intravascular ultrasound. Eur. Heart J. 31(20), 2456\u20132469 (2010)","journal-title":"Eur. Heart J."},{"issue":"6","key":"81_CR12","doi-asserted-by":"publisher","first-page":"594","DOI":"10.1016\/j.media.2005.04.005","volume":"9","author":"I Wolf","year":"2005","unstructured":"Wolf, I., Vetter, M., Wegner, I., et al.: The medical imaging interaction toolkit. Med. Image Anal. 9(6), 594\u2013604 (2005)","journal-title":"Med. Image Anal."},{"key":"81_CR13","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","volume-title":"Neural Networks for Pattern Recognition","author":"CM Bishop","year":"1995","unstructured":"Bishop, C.M.: Neural Networks for Pattern Recognition. Oxford University Press, Oxford (1995)"},{"key":"81_CR14","unstructured":"Kingma, D., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"81_CR15","unstructured":"Abadi, M., Agarwal, A., Barham, P., et al.: Tensorflow: large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv:1603.04467 (2016)"},{"issue":"Oct","key":"81_CR16","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., et al.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12(Oct), 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"81_CR17","doi-asserted-by":"publisher","DOI":"10.1002\/9781118548387","volume-title":"Applied Logistic Regression","author":"DW Hosmer Jr","year":"2013","unstructured":"Hosmer Jr., D.W., Lemeshow, S., Sturdivant, R.X.: Applied Logistic Regression, vol. 398. Wiley, Hoboken (2013)"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-70093-9_81","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T16:28:25Z","timestamp":1710347305000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-70093-9_81"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319700922","9783319700939"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-70093-9_81","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":"24 October 2017","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":"Guangzhou","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":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 November 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iconip2017.org\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}