{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T10:40:04Z","timestamp":1746268804201,"version":"3.40.4"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319087283"},{"type":"electronic","value":"9783319087290"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-08729-0_37","type":"book-chapter","created":{"date-parts":[[2014,6,13]],"date-time":"2014-06-13T14:12:15Z","timestamp":1402668735000},"page":"359-366","source":"Crossref","is-referenced-by-count":2,"title":["3D Dendrite Spine Detection - A Supervoxel Based Approach"],"prefix":"10.1007","author":[{"given":"C\u00e9sar Antonio","family":"Ortiz","sequence":"first","affiliation":[]},{"given":"Consuelo","family":"Gonzalo-Mart\u00ed","sequence":"additional","affiliation":[]},{"given":"Jos\u00e9 Maria","family":"Pe\u00f1a","sequence":"additional","affiliation":[]},{"given":"Ernestina","family":"Menasalvas","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"4","key":"37_CR1","doi-asserted-by":"publisher","first-page":"e1997","DOI":"10.1371\/journal.pone.0001997","volume":"3","author":"Alfredo Rodriguez","year":"2008","unstructured":"Rodriguez, A., Ehlenberger, D.B., Dickstein, D.L., Hof, P.R., Wearne, S.L.: Automated three-dimensional detection and shape classification of dendritic spines from fluorescence microscopy images. PLoS One\u00a03(4), e1997 (2008)","journal-title":"PLoS ONE"},{"key":"37_CR2","doi-asserted-by":"crossref","unstructured":"Li, Q., Zhou, X., Deng, Z., Baron, M., Teylan, M.A., Kim, Y., Wong, S.T.C.: A novel surface-based geometric approach for 3d dendritic spine detection from multi-photon excitation microscopy images. In: ISBI, pp. 1255\u20131258. IEEE (2009)","DOI":"10.1109\/ISBI.2009.5193290"},{"issue":"4","key":"37_CR3","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1504\/IJCAET.2009.028556","volume":"1","author":"W. Zhou","year":"2009","unstructured":"Zhou, W., Li, H., Zhou, X.: 3d neuron dendritic spine detection and dendrite reconstruction. IJCAET\u00a01(4), 516\u2013531 (2009)","journal-title":"IJCAET"},{"key":"37_CR4","unstructured":"Xu, X., Cheng, J., Witt, R.M., Sabatini, B.L., Wong, S.T.C.: A shape analysis method to detect dendritic spine in 3d optical microscopy image. In: ISBI, pp. 554\u2013557. IEEE (2006)"},{"issue":"1","key":"37_CR5","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1109\/34.107013","volume":"14","author":"F.F. Leymarie","year":"1992","unstructured":"Leymarie, F.F., Levine, M.D.: Simulating the grassfire transform using an active contour model. IEEE Trans. Pattern Anal. Mach. Intell.\u00a014(1), 56\u201375 (1992)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"37_CR6","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/j.media.2008.06.019","volume":"13","author":"F. Janoos","year":"2009","unstructured":"Janoos, F., Mosaliganti, K., Xu, X., Machiraju, R., Huang, K., Wong, S.T.C.: Robust 3d reconstruction and identification of dendritic spines from optical microscopy imaging. Medical Image Analysis\u00a013(1), 167\u2013179 (2009)","journal-title":"Medical Image Analysis"},{"key":"37_CR7","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Zhou, X., Witt, R.M., Sabatini, B.L., Adjeroh, D.A., Wong, S.T.C.: Automated spine detection using curvilinear structure detector and lda classifier. In: ISBI, pp. 528\u2013531 (2007)","DOI":"10.1109\/ISBI.2007.356905"},{"key":"37_CR8","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1145\/1924559.1924614","volume-title":"Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2010","author":"S. Jaeger","year":"2010","unstructured":"Jaeger, S., Palaniappan, K., Casas-Delucchi, C.S., Cardoso, M.C.: Classification of cell cycle phases in 3d confocal microscopy using pcna and chromocenter features. In: Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2010, pp. 412\u2013418. ACM, New York (2010)"},{"key":"37_CR9","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1017\/S143192760303040X","volume":"9","author":"W. He","year":"2003","unstructured":"He, W., Hamilton, T.A., Cohen, A.R., Holmes, T.J., Pace, C., Szarowski, D.H., Turner, J.N., Roysam, B.: Automated three-dimensional tracing of neurons in confocal and brightfield images. Microsc. Microanal\u00a09, 296\u2013310 (2003)","journal-title":"Microsc. Microanal"},{"key":"37_CR10","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1109\/ICCV.2003.1238308","volume-title":"Proceedings of the Ninth IEEE International Conference on Computer Vision, ICCV 2003","author":"X. Ren","year":"2003","unstructured":"Ren, X., Malik, J.: Learning a classification model for segmentation. In: Proceedings of the Ninth IEEE International Conference on Computer Vision, ICCV 2003, vol.\u00a02, pp. 10\u201317. IEEE Computer Society, Washington, DC (2003)"},{"issue":"11","key":"37_CR11","doi-asserted-by":"publisher","first-page":"2274","DOI":"10.1109\/TPAMI.2012.120","volume":"34","author":"R. Achanta","year":"2012","unstructured":"Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., Ssstrunk, S.: Slic superpixels compared to state-of-the-art superpixel methods. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a034(11), 2274\u20132282 (2012)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"2","key":"37_CR12","doi-asserted-by":"publisher","first-page":"474","DOI":"10.1109\/TMI.2011.2171705","volume":"31","author":"A. Lucchi","year":"2012","unstructured":"Lucchi, A., Smith, K., Achanta, R., Knott, G., Fua, P.: Supervoxel-based segmentation of mitochondria in em image stacks with learned shape features. IEEE Trans. Med. Imaging\u00a031(2), 474\u2013486 (2012)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"37_CR13","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1109\/3477.484436","volume":"26","author":"M. Dorigo","year":"1996","unstructured":"Dorigo, M., Maniezzo, V., Colorni, A.: The ant system: Optimization by a colony of cooperating agents. IEEE Trans. on Systens, Man and Cybernetics-Part B\u00a026(1), 29\u201341 (1996)","journal-title":"IEEE Trans. on Systens, Man and Cybernetics-Part B"},{"issue":"2","key":"37_CR14","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1016\/j.physa.2006.04.048","volume":"371","author":"D. Silin","year":"2006","unstructured":"Silin, D., Patzek, T.: Pore space morphology analysis using maximal inscribed spheres. Physica A: Statistical and Theoretical Physics\u00a0371(2), 336\u2013360 (2006)","journal-title":"Physica A: Statistical and Theoretical Physics"}],"container-title":["Lecture Notes in Computer Science","Rough Sets and Intelligent Systems Paradigms"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-08729-0_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T10:04:09Z","timestamp":1746266649000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-08729-0_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319087283","9783319087290"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-08729-0_37","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2014]]}}}