{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T18:25:39Z","timestamp":1772303139180,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":27,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642220913","type":"print"},{"value":"9783642220920","type":"electronic"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"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":[[2011]]},"DOI":"10.1007\/978-3-642-22092-0_60","type":"book-chapter","created":{"date-parts":[[2011,6,17]],"date-time":"2011-06-17T13:49:59Z","timestamp":1308318599000},"page":"735-747","source":"Crossref","is-referenced-by-count":42,"title":["A Generative Approach for Image-Based Modeling of Tumor Growth"],"prefix":"10.1007","author":[{"given":"Bjoern H.","family":"Menze","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Koen","family":"Van Leemput","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antti","family":"Honkela","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ender","family":"Konukoglu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marc-Andr\u00e9","family":"Weber","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicholas","family":"Ayache","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Polina","family":"Golland","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"60_CR1","doi-asserted-by":"publisher","first-page":"496","DOI":"10.1002\/ana.21042","volume":"61","author":"E.C. Alvord","year":"2007","unstructured":"Alvord, E.C., Swanson, K.R.: Using mathematical modeling to predict survival of low-grade gliomas. Ann. Neurol.\u00a061, 496\u2013497 (2007)","journal-title":"Ann. Neurol."},{"key":"60_CR2","first-page":"1301","volume":"23","author":"B.B. Cuadra","year":"2004","unstructured":"Cuadra, B.B., Pollo, C., Bardera, A., Cuisenaire, O., Thiran, J.P.: Atlas-based segmentation of pathological brain MR images using a model of lesion growth. IEEE TMI\u00a023, 1301\u20131314 (2004)","journal-title":"IEEE TMI"},{"key":"60_CR3","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1017\/S0962492904000182","volume":"13","author":"H.-J. Bungartz","year":"2004","unstructured":"Bungartz, H.-J., Griebel, M.: Sparse grids. Acta Numerica\u00a013, 147\u2013269 (2004)","journal-title":"Acta Numerica"},{"key":"60_CR4","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1148\/radiol.2532081623","volume":"253","author":"G.B. Caseiras","year":"2009","unstructured":"Caseiras, G.B., Ciccarelli, O., Altmann, D.R., Benton, C.E., Tozer, D.J., Tofts, P.S., Yousry, T.A., Rees, J., Waldman, A.D., J\u00e4ger, H.R.: Low-grade gliomas: six-month tumor growth predicts patient outcome better than admission tumor volume, relative cerebral blood volume, and apparent diffusion coefficient. Radiology\u00a0253, 505\u2013512 (2009)","journal-title":"Radiology"},{"key":"60_CR5","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1093\/imammb\/8.3.191","volume":"8","author":"M.A.J. Chaplain","year":"1991","unstructured":"Chaplain, M.A.J., Stuart, A.M.: A mathematical model for the diffusion of tumour angiogenesis factor into the surrounding host tissue. J. Math. Appl. Med. Biol.\u00a08, 191\u2013220 (1991)","journal-title":"J. Math. Appl. Med. Biol."},{"key":"60_CR6","first-page":"1334","volume":"24","author":"O. Clatz","year":"2005","unstructured":"Clatz, O., Sermesant, M., Bondiau, P.-Y., Delingette, H., Warfield, S.K., Malandain, G., Ayache, N.: Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation. IEEE TMI\u00a024, 1334\u20131346 (2005)","journal-title":"IEEE TMI"},{"key":"60_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1007\/978-3-642-04271-3_65","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2009","author":"D. Cobzas","year":"2009","unstructured":"Cobzas, D., Mosayebi, P., Murtha, A., Jagersand, M.: Tumor invasion margin on the riemannian space of brain fibers. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol.\u00a05762, pp. 531\u2013539. Springer, Heidelberg (2009)"},{"key":"60_CR8","first-page":"629","volume":"9","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 TMI\u00a09, 629\u2013640 (2008)","journal-title":"IEEE TMI"},{"key":"60_CR9","first-page":"291","volume":"56","author":"O. Ganslandt","year":"2005","unstructured":"Ganslandt, O., Stadlbauer, A., Fahlbusch, R., Kamada, K., Buslei, R., Blumcke, I., Moser, E., Nimsky, C.: 1H-MRSI integrated into image-guided surgery: correlation to standard MR imaging and tumor cell density. Neurosurg.\u00a056, 291\u2013298 (2005)","journal-title":"Neurosurg."},{"key":"60_CR10","first-page":"375","volume":"30","author":"A. Gooya","year":"2011","unstructured":"Gooya, A., Biros, G., Davatzikos, C.: Deformable registration of glioma images using EM algorithm and diffusion reaction modeling. IEEE TMI\u00a030, 375\u2013390 (2011)","journal-title":"IEEE TMI"},{"key":"60_CR11","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1007\/s11222-006-9438-0","volume":"16","author":"H. Haario","year":"2006","unstructured":"Haario, H., Laine, M., Mira, A., Saksman, E.: DRAM: Efficient adaptive MCMC. Statistics and Computing\u00a016, 339\u2013354 (2006)","journal-title":"Statistics and Computing"},{"key":"60_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/978-3-642-15711-0_18","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2010","author":"A. Hamamci","year":"2010","unstructured":"Hamamci, A., Unal, G., Kucuk, N., Engin, K.: Cellular automata segmentation of brain tumors on post contrast MR images. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010. LNCS, vol.\u00a06363, pp. 137\u2013146. Springer, Heidelberg (2010)"},{"key":"60_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"715","DOI":"10.1007\/978-3-642-01970-8_71","volume-title":"Computational Science \u2013 ICCS 2009","author":"S. Hirsch","year":"2009","unstructured":"Hirsch, S., Szczerba, D., Lloyd, B., Bajka, M., Kuster, N., Sz\u00e9kely, G.: A mechano-chemical model of a solid tumor for therapy outcome predictions. In: Allen, G., Nabrzyski, J., Seidel, E., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds.) ICCS 2009. LNCS, vol.\u00a05544, pp. 715\u2013724. Springer, Heidelberg (2009)"},{"key":"60_CR14","doi-asserted-by":"publisher","first-page":"793","DOI":"10.1007\/s00285-007-0139-x","volume":"56","author":"C. Hogea","year":"2008","unstructured":"Hogea, C., Davatzikos, C., Biros, G.: An image-driven parameter estimation problem for a reaction-diffusion glioma growth model with mass effects. J. Math. Biol.\u00a056, 793\u2013825 (2008)","journal-title":"J. Math. Biol."},{"key":"60_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1114268.1114275","volume":"31","author":"A. Klimke","year":"2005","unstructured":"Klimke, A., Wohlmuth, B.: Piecewise multilinear hierarchical sparse grid interpolation in MATLAB. ACM Trans. Math. Software\u00a031, 1\u201320 (2005)","journal-title":"ACM Trans. Math. Software"},{"key":"60_CR16","first-page":"77","volume":"29","author":"E. Konukoglu","year":"2010","unstructured":"Konukoglu, E., Clatz, O., Menze, B.H., Weber, M.-A., Stieltjes, B., Mandonnet, E., Delingette, H., Ayache, N.: Image guided personalization of reaction-diffusion type tumor growth models using modified anisotropic Eikonal equations. IEEE TMI\u00a029, 77\u201395 (2010)","journal-title":"IEEE TMI"},{"key":"60_CR17","first-page":"580","volume":"18","author":"S.K. Kyriacou","year":"1999","unstructured":"Kyriacou, S.K., Davatzikos, C., Zinreich, S.J., Bryan, R.N.: Nonlinear elastic registration of brain images with tumor pathology using a biomechanical model. IEEE TMI\u00a018, 580\u2013592 (1999)","journal-title":"IEEE TMI"},{"key":"60_CR18","doi-asserted-by":"crossref","unstructured":"Ma, X., Zabaras, N.: An efficient Bayesian inference approach to inverse problems based on an adaptive sparse grid collocation method. Inverse Problems\u00a025 (2009)","DOI":"10.1088\/0266-5611\/25\/3\/035013"},{"issue":"2","key":"60_CR19","doi-asserted-by":"publisher","first-page":"620","DOI":"10.1006\/jcph.2001.6900","volume":"173","author":"P. McCorquodale","year":"2001","unstructured":"McCorquodale, P., Colella, P., Johansen, H.: A Cartesian grid embedded boundary method for the heat equation in irregular domains. J. Comp. Phys.\u00a0173(2), 620\u2013635 (2001)","journal-title":"J. Comp. Phys."},{"key":"60_CR20","volume-title":"Optimal Control in Image Processing","author":"B.H. Menze","year":"2011","unstructured":"Menze, B.H., Stretton, E., Konukoglu, E., Ayache, N.: Image-based modeling of tumor growth in patients with glioma. In: Garbe, C.S., Rannacher, R., Platt, U., Wagner, T. (eds.) Optimal Control in Image Processing. Springer, Heidelberg (2011)"},{"key":"60_CR21","first-page":"752","volume":"10","author":"A. Mohamed","year":"2006","unstructured":"Mohamed, A., Zacharakib, E.I., Shena, D., Davatzikos, C.: Deformable registration of brain tumor images via a statistical model of tumor-induced deformation. MedIA\u00a010, 752\u2013763 (2006)","journal-title":"MedIA"},{"key":"60_CR22","doi-asserted-by":"publisher","first-page":"380","DOI":"10.1002\/ana.20946","volume":"60","author":"J. Pallud","year":"2006","unstructured":"Pallud, J., Mandonnet, E., Duffau, H., Galanaud, D., Taillandier, L., Capelle, L.: Prognostic value of initial magnetic resonance imaging growth rates for World Health Organization grade II gliomas. Ann. Neurol.\u00a060, 380\u2013383 (2006)","journal-title":"Ann. Neurol."},{"key":"60_CR23","first-page":"297","volume":"13","author":"M. Prastawa","year":"2009","unstructured":"Prastawa, M., Bullitt, E., Gerig, G.: Simulation of brain tumors in MR images for evaluation of segmentation efficacy. MedIA\u00a013, 297\u2013311 (2009)","journal-title":"MedIA"},{"key":"60_CR24","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1046\/j.1365-2184.2000.00177.x","volume":"33","author":"K.R. Swanson","year":"2000","unstructured":"Swanson, K.R., Alvord, E.C., Murray, J.D.: A quantitative model for differential motility of gliomas in grey and white matter. Cell Prolif.\u00a033, 317\u2013329 (2000)","journal-title":"Cell Prolif."},{"key":"60_CR25","doi-asserted-by":"crossref","unstructured":"Zacharaki, E., Shen, D., Mohamed, A., Davatzikos, C.: Registration of brain images with tumors: Towards the construction of statistical atlases for therapy planning. In: Proc. ISBI (2006)","DOI":"10.1109\/ISBI.2006.1624886"},{"key":"60_CR26","doi-asserted-by":"publisher","first-page":"762","DOI":"10.1016\/j.neuroimage.2009.01.051","volume":"46","author":"E.I. Zacharaki","year":"2009","unstructured":"Zacharaki, E.I., Hogea, C.S., Shen, D., Biros, G., Davatzikos, C.: Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth. Neuroimage\u00a046, 762\u2013774 (2009)","journal-title":"Neuroimage"},{"key":"60_CR27","volume-title":"Large-Scale Inverse Problems and Quantification of Uncertainty","author":"N. Zarabas","year":"2011","unstructured":"Zarabas, N.: Solving stochastic inverse problems: A sparse grid collocation approach. In: Biegler, L. (ed.) Large-Scale Inverse Problems and Quantification of Uncertainty. Wiley, Chichester (2011)"}],"container-title":["Lecture Notes in Computer Science","Information Processing in Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-22092-0_60","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,28]],"date-time":"2019-03-28T19:57:44Z","timestamp":1553803064000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-22092-0_60"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642220913","9783642220920"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-22092-0_60","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011]]}}}