{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T11:15:18Z","timestamp":1774523718440,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":22,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540859871","type":"print"},{"value":"9783540859888","type":"electronic"}],"license":[{"start":{"date-parts":[[2008,1,1]],"date-time":"2008-01-01T00:00:00Z","timestamp":1199145600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2008,1,1]],"date-time":"2008-01-01T00:00:00Z","timestamp":1199145600000},"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":[[2008]]},"DOI":"10.1007\/978-3-540-85988-8_43","type":"book-chapter","created":{"date-parts":[[2008,9,9]],"date-time":"2008-09-09T06:50:22Z","timestamp":1220943022000},"page":"359-366","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":45,"title":["Segmenting Brain Tumors Using Pseudo\u2013Conditional Random Fields"],"prefix":"10.1007","author":[{"given":"Chi-Hoon","family":"Lee","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaojun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Albert","family":"Murtha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthew R. G.","family":"Brown","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Russell","family":"Greiner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"43_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"790","DOI":"10.1007\/11866763_97","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2006","author":"J.J. Corso","year":"2006","unstructured":"Corso, J.J., Sharon, E., Yuille, A.L.: Multilevel segmentation and integrated bayesian model classification with an application to brain tumor segmentation. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol.\u00a04191, pp. 790\u2013798. Springer, Heidelberg (2006)"},{"key":"43_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"670","DOI":"10.1007\/978-3-540-39903-2_82","volume-title":"Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003","author":"D.T. Gering","year":"2003","unstructured":"Gering, D.T.: Diagonalized nearest neighbor pattern matching for brain tumor segmentation. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol.\u00a02879, pp. 670\u2013677. Springer, Heidelberg (2003)"},{"issue":"5","key":"43_CR3","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1109\/TMI.2007.912817","volume":"27","author":"J.J. Corso","year":"2008","unstructured":"Corso, J.J., Sharon, E., Dube, S., El-Saden, S., Sinha, U., Yuille, A.: Efficient Multilevel Brain Tumor Segmentation with Integrated Bayesian Model Classification. IEEE Transactions on Medical Imaging\u00a027(5), 629\u2013640 (2008)","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"43_CR4","volume-title":"Machine Learning","author":"T. Mitchell","year":"1997","unstructured":"Mitchell, T.: Machine Learning. McGraw-Hill, New York (1997)"},{"issue":"1","key":"43_CR5","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.compmedimag.2004.07.008","volume":"29","author":"J. Liu","year":"2005","unstructured":"Liu, J., Udupa, J.K., Odhner, D., Hackney, D., Moonis, G.: A system for brain tumor volume estimation via mr imaging and fuzzy connectedness. Computational Medical Imaging and Graphics\u00a029(1), 21\u201334 (2005)","journal-title":"Computational Medical Imaging and Graphics"},{"key":"43_CR6","doi-asserted-by":"crossref","unstructured":"Cobzas, D., Birkbeck, N., Schmidt, M., Jagersand, M., Murtha, A.: A 3D variational brain tumor segmentation using a high dimensional feature set. In: MMBIA (2007)","DOI":"10.1109\/ICCV.2007.4409130"},{"key":"43_CR7","volume-title":"Advances in Kernel Methods - Support Vector Learning","author":"T. Joachims","year":"1999","unstructured":"Joachims, T.: Making large-scale svm learning practical. In: Scholkopf, B., Burges, C., Smola, A. (eds.) Advances in Kernel Methods - Support Vector Learning. MIT Press, Cambridge (1999)"},{"key":"43_CR8","unstructured":"Ng, A., Jordan, M.: On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes. In: NIPS, vol. 14 (2002)"},{"key":"43_CR9","volume-title":"Markov Random Field Modeling in Image Analysis","author":"S.Z. Li","year":"2001","unstructured":"Li, S.Z.: Markov Random Field Modeling in Image Analysis. Springer, Tokyo (2001)"},{"key":"43_CR10","unstructured":"Lafferty, J., Pereira, F., McCallum, A.: Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In: ICML (2001)"},{"key":"43_CR11","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1007\/11564126_16","volume-title":"Knowledge Discovery in Databases: PKDD 2005","author":"C.H. Lee","year":"2005","unstructured":"Lee, C.H., Greiner, R., Schmidt, M.: Support vector random fields for spatial classification. In: Jorge, A.M., Torgo, L., Brazdil, P.B., Camacho, R., Gama, J. (eds.) PKDD 2005. LNCS (LNAI), vol.\u00a03721, pp. 121\u2013132. Springer, Heidelberg (2005)"},{"key":"43_CR12","doi-asserted-by":"crossref","unstructured":"Lee, C.H., Wang, S., Jiao, F., Schuurmans, D., Greiner, R.: Learning to model spatial dependency: Semi-supervised discriminative random fields. In: NIPS, vol. 19 (2007)","DOI":"10.7551\/mitpress\/7503.003.0104"},{"key":"43_CR13","unstructured":"Kumar, S., Hebert, M.: Discriminative fields for modeling spatial dependencies in natural images. In: NIPS (2003)"},{"key":"43_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1007\/11585978_11","volume-title":"Energy Minimization Methods in Computer Vision and Pattern Recognition","author":"S. Kumar","year":"2005","unstructured":"Kumar, S., August, J., Hebert, M.: Exploiting inference for approximate parameter learning in discriminative fields: An empirical study. In: Rangarajan, A., Vemuri, B.C., Yuille, A.L. (eds.) EMMCVPR 2005. LNCS, vol.\u00a03757, pp. 153\u2013168. Springer, Heidelberg (2005)"},{"key":"43_CR15","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1007\/11871637_28","volume-title":"Knowledge Discovery in Databases: PKDD 2006","author":"C.H. Lee","year":"2006","unstructured":"Lee, C.H., Greiner, R., Zaiane, O.R.: Efficient spatial classification using decoupled conditional random fields. In: F\u00fcrnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) PKDD 2006. LNCS (LNAI), vol.\u00a04213, pp. 272\u2013283. Springer, Heidelberg (2006)"},{"key":"43_CR16","doi-asserted-by":"crossref","unstructured":"Boykov, Y., Veksler, O., Zabih, R.: Fast approximate energy minimization via graph cuts. In: ICCV, pp. 377\u2013384 (1999)","DOI":"10.1109\/ICCV.1999.791245"},{"key":"43_CR17","unstructured":"Schmidt, M.: Automatic brain tumor segmentation. Master\u2019s thesis, University of Alberta (2005)"},{"key":"43_CR18","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"crossref","first-page":"636","DOI":"10.1007\/978-3-540-30498-2_64","volume-title":"Advances in Artificial Intelligence \u2013 IBERAMIA 2004","author":"C. Garcia","year":"2004","unstructured":"Garcia, C., Moreno, J.: Kernel based method for segmentation and modeling of magnetic resonance images. In: Lema\u00eetre, C., Reyes, C.A., Gonz\u00e1lez, J.A. (eds.) IBERAMIA 2004. LNCS (LNAI), vol.\u00a03315, pp. 636\u2013645. Springer, Heidelberg (2004)"},{"key":"43_CR19","unstructured":"Zhang, J., Ma, K., Er, M., Chong, V.: Tumor segmentation from magnetic resonance imaging by learning via one-class support vector machine. In: Int. Workshop on Advanced Image Technology, pp. 207\u2013211 (2004)"},{"key":"43_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1007\/978-3-540-39903-2_86","volume-title":"Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003","author":"T. Chen","year":"2003","unstructured":"Chen, T., Metaxas, D.N.: Gibbs prior models, marching cubes, and deformable models: A hybrid framework for 3d medical image segmentation. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol.\u00a02879, pp. 703\u2013710. Springer, Heidelberg (2003)"},{"key":"43_CR21","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1148\/radiology.218.2.r01fe44586","volume":"218","author":"M. Kaus","year":"2001","unstructured":"Kaus, M., Warfield, S., Nabavi, A., Black, P., Jolesz, F., Kikinis, R.: Automated segmentation of MR images of brain tumors. Radiology\u00a0218, 586\u2013591 (2001)","journal-title":"Radiology"},{"key":"43_CR22","unstructured":"http:\/\/www.cs.ualberta.ca\/~btap\/research\/pcrf\/\n                     (2008)"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2008"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-85988-8_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,9]],"date-time":"2024-05-09T06:57:11Z","timestamp":1715237831000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-540-85988-8_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008]]},"ISBN":["9783540859871","9783540859888"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-85988-8_43","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2008]]},"assertion":[{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}