{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T19:22:15Z","timestamp":1725909735675},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319674339"},{"type":"electronic","value":"9783319674346"}],"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":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-67434-6_6","type":"book-chapter","created":{"date-parts":[[2017,8,30]],"date-time":"2017-08-30T05:22:29Z","timestamp":1504070549000},"page":"47-54","source":"Crossref","is-referenced-by-count":2,"title":["Learning a Sparse Database for Patch-Based Medical Image Segmentation"],"prefix":"10.1007","author":[{"given":"Moti","family":"Freiman","sequence":"first","affiliation":[]},{"given":"Hannes","family":"Nickisch","sequence":"additional","affiliation":[]},{"given":"Holger","family":"Schmitt","sequence":"additional","affiliation":[]},{"given":"Pal","family":"Maurovich-Horvat","sequence":"additional","affiliation":[]},{"given":"Patrick","family":"Donnelly","sequence":"additional","affiliation":[]},{"given":"Mani","family":"Vembar","sequence":"additional","affiliation":[]},{"given":"Liran","family":"Goshen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,8,31]]},"reference":[{"issue":"4","key":"6_CR1","doi-asserted-by":"crossref","first-page":"2403","DOI":"10.1214\/11-AOAS495","volume":"5","author":"J Bien","year":"2011","unstructured":"Bien, J., Tibshirani, R.: Prototype selection for interpretable classification. Ann. Appl. Stat. 5(4), 2403\u20132424 (2011)","journal-title":"Ann. Appl. Stat."},{"issue":"1","key":"6_CR2","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1109\/TIT.1967.1053964","volume":"13","author":"T Cover","year":"1967","unstructured":"Cover, T., Hart, P.: Nearest neighbor pattern classification. IEEE Trans. Inf. Theory 13(1), 21\u201327 (1967)","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"3","key":"6_CR3","doi-asserted-by":"crossref","first-page":"1040","DOI":"10.1002\/mp.12121","volume":"44","author":"M Freiman","year":"2017","unstructured":"Freiman, M., et al.: Improving CCTA-based lesions\u2019 hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation. Med. Phys. 44(3), 1040\u20131049 (2017)","journal-title":"Med. Phys."},{"issue":"3","key":"6_CR4","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1109\/TPAMI.2011.142","volume":"34","author":"S Garc\u00eda","year":"2012","unstructured":"Garc\u00eda, S., et al.: Prototype selection for nearest neighbor classification: taxonomy and empirical study. IEEE Trans. Pattern Anal. Mach. Intell. 34(3), 417\u2013435 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"8","key":"6_CR5","doi-asserted-by":"crossref","first-page":"859","DOI":"10.1016\/j.media.2013.05.007","volume":"17","author":"H Kiri\u015fli","year":"2013","unstructured":"Kiri\u015fli, H., et al.: Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography. Med. Image Anal. 17(8), 859\u2013876 (2013). \nhttp:\/\/coronary.bigr.nl\/stenoses\/","journal-title":"Med. Image Anal."},{"key":"6_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/978-3-319-13972-2_13","volume-title":"Medical Computer Vision: Algorithms for Big Data","author":"F Lugauer","year":"2014","unstructured":"Lugauer, F., Zheng, Y., Hornegger, J., Kelm, B.M.: Precise lumen segmentation in coronary computed tomography angiography. In: Menze, B., Langs, G., Montillo, A., Kelm, M., M\u00fcller, H., Zhang, S., Cai, W.T., Metaxas, D. (eds.) MCV 2014. LNCS, vol. 8848, pp. 137\u2013147. Springer, Cham (2014). doi:\n10.1007\/978-3-319-13972-2_13"},{"key":"6_CR7","doi-asserted-by":"crossref","unstructured":"Mechrez, R., Goldberger, J., Greenspan, H.: Patch-based segmentation with spatial consistency: application to MS lesions in brain MRI. Int. J. Biomed. Imaging 2016, Article ID 7952541 (2016)","DOI":"10.1155\/2016\/7952541"},{"key":"6_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1007\/978-3-319-24571-3_52","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"H Nickisch","year":"2015","unstructured":"Nickisch, H., Lamash, Y., Prevrhal, S., Freiman, M., Vembar, M., Goshen, L., Schmitt, H.: Learning patient-specific lumped models for interactive coronary blood flow simulations. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A. (eds.) MICCAI 2015. LNCS, vol. 9350, pp. 433\u2013441. Springer, Cham (2015). doi:\n10.1007\/978-3-319-24571-3_52"},{"issue":"4","key":"6_CR9","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1109\/TMI.2004.843260","volume":"24","author":"SD Olabarriaga","year":"2005","unstructured":"Olabarriaga, S.D., et al.: Segmentation of thrombus in abdominal aortic aneurysms from CTA with nonparametric statistical grey level appearance modeling. IEEE Trans. Med. Imaging 24(4), 477\u2013485 (2005)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"6_CR10","unstructured":"Powell, M.: The BOBYQA algorithm for bound constrained optimization without derivatives. NA Report NA2009\/06, p. 39 (2009). \nhttp:\/\/www6.cityu.edu.hk\/rcms\/publications\/preprint26.pdf"},{"key":"6_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"666","DOI":"10.1007\/978-3-319-10404-1_83","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014","author":"Z Wang","year":"2014","unstructured":"Wang, Z., Bhatia, K.K., Glocker, B., Marvao, A., Dawes, T., Misawa, K., Mori, K., Rueckert, D.: Geodesic patch-based segmentation. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014. LNCS, vol. 8673, pp. 666\u2013673. Springer, Cham (2014). doi:\n10.1007\/978-3-319-10404-1_83"}],"container-title":["Lecture Notes in Computer Science","Patch-Based Techniques in Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-67434-6_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,8,30]],"date-time":"2017-08-30T05:23:42Z","timestamp":1504070622000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-67434-6_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319674339","9783319674346"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-67434-6_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}