{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T14:53:41Z","timestamp":1769612021727,"version":"3.49.0"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319755403","type":"print"},{"value":"9783319755410","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-319-75541-0_9","type":"book-chapter","created":{"date-parts":[[2018,3,14]],"date-time":"2018-03-14T07:22:15Z","timestamp":1521012135000},"page":"82-90","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6911-2858","authenticated-orcid":false,"given":"Irem","family":"Cetin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gerard","family":"Sanroma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steffen E.","family":"Petersen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sandy","family":"Napel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oscar","family":"Camara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miguel-Angel Gonzalez","family":"Ballester","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karim","family":"Lekadir","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,3,15]]},"reference":[{"issue":"1","key":"9_CR1","first-page":"1","volume":"1","author":"G Santulli","year":"2013","unstructured":"Santulli, G.: Epidemiology of cardiovascular disease in the 21st century: updated numbers and updated facts. J. Cardiovasc. Dis. 1(1), 1\u20132 (2013)","journal-title":"J. Cardiovasc. Dis."},{"key":"9_CR2","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1007\/s10334-015-0521-4","volume":"29","author":"P Peng","year":"2016","unstructured":"Peng, P., Lekadir, K., Gooya, A., Shao, L., Petersen, S.E., Frangi, A.F.: A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging. MAGMA 29, 155\u2013195 (2016)","journal-title":"MAGMA"},{"issue":"5","key":"9_CR3","doi-asserted-by":"crossref","first-page":"692","DOI":"10.1161\/CIRCULATIONAHA.108.811547","volume":"121","author":"DJ Pennell","year":"2010","unstructured":"Pennell, D.J.: Cardiovascular magnetic resonance. Circulation 121(5), 692\u2013705 (2010)","journal-title":"Circulation"},{"issue":"3","key":"9_CR4","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1016\/j.acra.2004.11.025","volume":"12","author":"JG Bosch","year":"2005","unstructured":"Bosch, J.G., Nijland, F., Mitchell, S.C., Lelieveldt, B.P.F., Kamp, O., Reiber, J.H.C., Sonka, M.: Computer-aided diagnosis via model-based shape analysis: automated classification of wall motion abnormalities in echocardiograms. Acad. Radiol. 12(3), 358\u2013367 (2005)","journal-title":"Acad. Radiol."},{"issue":"3","key":"9_CR5","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1016\/j.media.2009.02.005","volume":"13","author":"F Zhao","year":"2009","unstructured":"Zhao, F., Wahle, A., Thomas, M.T., Stolpen, A.H., Scholz, T.D., Sonka, M.: Congenital aortic disease: 4D magnetic resonance segmentation and quantitative analysis. Med. Image Anal. 13(3), 483\u2013493 (2009)","journal-title":"Med. Image Anal."},{"issue":"99","key":"9_CR6","first-page":"1","volume":"PP","author":"A Suinesiaputra","year":"2017","unstructured":"Suinesiaputra, A., et al.: Statistical shape modeling of the left ventricle: myocardial infarct classification challenge. IEEE J. Biomed. Health Inf. PP(99), 1 (2017)","journal-title":"IEEE J. Biomed. Health Inf."},{"key":"9_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1007\/978-3-319-28712-6_14","volume-title":"Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges","author":"K Lekadir","year":"2016","unstructured":"Lekadir, K., Alb\u00e0, X., Perea\u00f1ez, M., Frangi, A.F.: Statistical shape modeling using partial least squares: application to the assessment of myocardial infarction. In: Camara, O., Mansi, T., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds.) STACOM 2015. LNCS, vol. 9534, pp. 130\u2013139. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-28712-6_14"},{"issue":"4","key":"9_CR8","doi-asserted-by":"crossref","first-page":"882","DOI":"10.1109\/TMI.2013.2297333","volume":"33","author":"K Lekadir","year":"2014","unstructured":"Lekadir, K., Hoogendoorn, C., Pereanez, M., Alba, X., Pashaei, A., Frangi, A.F.: Statistical personalization of ventricular fiber orientation using shape predictors. IEEE Trans. Med. Imag. 33(4), 882\u2013890 (2014)","journal-title":"IEEE Trans. Med. Imag."},{"issue":"4","key":"9_CR9","doi-asserted-by":"crossref","first-page":"595","DOI":"10.1109\/TMI.2008.2008966","volume":"28","author":"A Suinesiaputra","year":"2009","unstructured":"Suinesiaputra, A., Frangi, A.F., Kaandorp, T., Lamb, H.J., Bax, J.J., Reiber, J., Lelieveldt, B.: Automated detection of regional wall motion abnormalities based on a statistical model applied to multislice short-axis cardiac MR images. IEEE Trans. Med. Imag. 28(4), 595\u2013607 (2009)","journal-title":"IEEE Trans. Med. Imag."},{"key":"9_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1007\/978-3-319-28712-6_15","volume-title":"Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges","author":"W Bai","year":"2016","unstructured":"Bai, W., Oktay, O., Rueckert, D.: Classification of myocardial infarcted patients by combining shape and motion features. In: Camara, O., Mansi, T., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds.) STACOM 2015. LNCS, vol. 9534, pp. 140\u2013145. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-28712-6_15"},{"key":"9_CR11","doi-asserted-by":"crossref","first-page":"4006","DOI":"10.1038\/ncomms5006","volume":"5","author":"HJ Aerts","year":"2014","unstructured":"Aerts, H.J., Velazquez, E.R., Leijenaar, R.T., Parmar, C., Grossmann, P., Cavalho, S., Bussink, J., Monshouwer, R., Haibe-Kains, B., Rietveld, D., Hoebers, F.: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nature commun. 5, 4006 (2014)","journal-title":"Nature commun."},{"issue":"1","key":"9_CR12","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.media.2015.08.009","volume":"26","author":"W Bai","year":"2015","unstructured":"Bai, W., Shi, W., de Marvao, A., Dawes, T.J., O\u2019Regan, D.P., Cook, S.A., Rueckert, D.: A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion. Med. Image Anal. 26(1), 133\u2013145 (2015)","journal-title":"Med. Image Anal."},{"issue":"2","key":"9_CR13","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1148\/radiol.12111607","volume":"264","author":"O Gevaert","year":"2012","unstructured":"Gevaert, O., Xu, J., Hoang, C.D., Leung, A.N., Xu, Y., Quon, A., Rubin, D.L., Napel, S., Plevritis, S.K.: Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data-methods and preliminary results. Radiology 264(2), 387\u2013396 (2012)","journal-title":"Radiology"},{"issue":"21","key":"9_CR14","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1158\/0008-5472.CAN-17-0339","volume":"77","author":"J Griethuysen van","year":"2017","unstructured":"van Griethuysen, J., Fedorov, A., Parmar, C., Hosny, A., Aucoin, N., Narayan, V., Beets-Tan, R.G.H., Fillion-Robin, J.-C., Pieper, S., Aerts, H.J.W.L.: Computational radiomics system to decode the radiographic phenotype. Cancer Res. 77(21), 104\u2013107 (2017)","journal-title":"Cancer Res."},{"key":"9_CR15","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J.: Scikit-learn: machine learning in python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"9_CR16","first-page":"1157","volume":"3","author":"I Guyon","year":"2003","unstructured":"Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. J. Mach. Learn. Res. 3, 1157\u20131182 (2003)","journal-title":"J. Mach. Learn. Res."}],"container-title":["Lecture Notes in Computer Science","Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-75541-0_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,12]],"date-time":"2019-10-12T17:05:26Z","timestamp":1570899926000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-75541-0_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319755403","9783319755410"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-75541-0_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}