{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T08:53:28Z","timestamp":1767084808461,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030010447"},{"type":"electronic","value":"9783030010454"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-01045-4_3","type":"book-chapter","created":{"date-parts":[[2018,9,14]],"date-time":"2018-09-14T20:25:17Z","timestamp":1536956717000},"page":"21-28","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["GLUENet: Ultrasound Elastography Using Convolutional Neural Network"],"prefix":"10.1007","author":[{"given":"Md. Golam","family":"Kibria","sequence":"first","affiliation":[]},{"given":"Hassan","family":"Rivaz","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,15]]},"reference":[{"issue":"4","key":"3_CR1","doi-asserted-by":"publisher","first-page":"789","DOI":"10.1016\/j.jacc.2005.10.040","volume":"47","author":"BH Amundsen","year":"2006","unstructured":"Amundsen, B.H., et al.: Noninvasive myocardial strain measurement by speckle tracking echocardiography: validation against sonomicrometry and tagged magnetic resonance imaging. J. Am. Coll. Cardiol. 47(4), 789\u2013793 (2006)","journal-title":"J. Am. Coll. Cardiol."},{"key":"3_CR2","doi-asserted-by":"crossref","unstructured":"Dosovitskiy, A., et al.: FlowNet: learning optical flow with convolutional networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2758\u20132766 (2015)","DOI":"10.1109\/ICCV.2015.316"},{"issue":"10","key":"3_CR3","doi-asserted-by":"publisher","first-page":"1625","DOI":"10.1109\/TUFFC.2017.2717933","volume":"64","author":"HS Hashemi","year":"2017","unstructured":"Hashemi, H.S., Rivaz, H.: Global time-delay estimation in ultrasound elastography. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 64(10), 1625\u20131636 (2017)","journal-title":"IEEE Trans. Ultrason. Ferroelectr. Freq. Control"},{"issue":"3","key":"3_CR4","doi-asserted-by":"publisher","first-page":"805","DOI":"10.1007\/s10237-016-0854-6","volume":"16","author":"C Hoerig","year":"2017","unstructured":"Hoerig, C., Ghaboussi, J., Insana, M.F.: An information-based machine learning approach to elasticity imaging. Biomech. Model Mechanobiol. 16(3), 805\u2013822 (2017)","journal-title":"Biomech. Model Mechanobiol."},{"issue":"8","key":"3_CR5","doi-asserted-by":"publisher","first-page":"1713","DOI":"10.1109\/TUFFC.2012.2376","volume":"59","author":"MA Hussain","year":"2012","unstructured":"Hussain, M.A., Anas, E.M.A., Alam, S.K., Lee, S.Y., Hasan, M.K.: Direct and gradient-based average strain estimation by using weighted nearest neighbor cross-correlation peaks. IEEE TUFFC 59(8), 1713\u20131728 (2012)","journal-title":"IEEE TUFFC"},{"key":"3_CR6","doi-asserted-by":"crossref","unstructured":"Ilg, E., Mayer, N., Saikia, T., Keuper, M., Dosovitskiy, A., Brox, T.: FlowNet 2.0: evolution of optical flow estimation with deep networks. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 2 (2017)","DOI":"10.1109\/CVPR.2017.179"},{"issue":"suppl. 1, pt. 1","key":"3_CR7","first-page":"351","volume":"34","author":"JA Jensen","year":"1996","unstructured":"Jensen, J.A.: FIELD: a program for simulating ultrasound systems. Med. Biol. Eng. Comput. 34(suppl. 1, pt. 1), 351\u2013353 (1996)","journal-title":"Med. Biol. Eng. Comput."},{"key":"3_CR8","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.ultras.2015.04.001","volume":"61","author":"MG Kibria","year":"2015","unstructured":"Kibria, M.G., Hasan, M.K.: A class of kernel based real-time elastography algorithms. Ultrasonics 61, 88\u2013102 (2015)","journal-title":"Ultrasonics"},{"issue":"6","key":"3_CR9","first-page":"815","volume":"13","author":"Y Kim","year":"2018","unstructured":"Kim, Y., Audigier, C., Ziegle, J., Friebe, M., Boctor, E.M.: Ultrasound thermal monitoring with an external ultrasound source for customized bipolar RF ablation shapes. IJCARS 13(6), 815\u2013826 (2018)","journal-title":"IJCARS"},{"issue":"4","key":"3_CR10","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1007\/BF02480847","volume":"29","author":"J Ophir","year":"2002","unstructured":"Ophir, J., et al.: Elastography: imaging the elastic properties of soft tissues with ultrasound. J. Med. Ultra. 29(4), 155\u2013171 (2002)","journal-title":"J. Med. Ultra."},{"issue":"5","key":"3_CR11","doi-asserted-by":"publisher","first-page":"1057","DOI":"10.1109\/58.796111","volume":"46","author":"A Pesavento","year":"1999","unstructured":"Pesavento, A., Perrey, C., Krueger, M., Ermert, H.: A time-efficient and accurate strain estimation concept for ultrasonic elastography using iterative phase zero estimation. IEEE TUFFC 46(5), 1057\u20131067 (1999)","journal-title":"IEEE TUFFC"},{"issue":"4","key":"3_CR12","doi-asserted-by":"publisher","first-page":"928","DOI":"10.1109\/TMI.2010.2091966","volume":"30","author":"H Rivaz","year":"2011","unstructured":"Rivaz, H., Boctor, E.M., Choti, M.A., Hager, G.D.: Real-time regularized ultrasound elastography. IEEE Trans. Med. Imaging 30(4), 928\u2013945 (2011)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"4","key":"3_CR13","first-page":"600","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE TIP 13(4), 600\u2013612 (2004)","journal-title":"IEEE TIP"},{"issue":"10","key":"3_CR14","first-page":"1990","volume":"53","author":"R Zahiri-Azar","year":"2006","unstructured":"Zahiri-Azar, R., Salcudean, S.E.: Motion estimation in ultrasound images using time domain cross correlation. IEEE TMB 53(10), 1990\u20132000 (2006)","journal-title":"IEEE TMB"}],"container-title":["Lecture Notes in Computer Science","Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-01045-4_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,14]],"date-time":"2023-09-14T00:04:57Z","timestamp":1694649897000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-01045-4_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030010447","9783030010454"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01045-4_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"15 September 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"POCUS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Point-of-Care Ultrasound","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":"pocus2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/blog.kitware.com\/events\/pocus-miccai2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}