{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T09:53:17Z","timestamp":1725702797690},"publisher-location":"Berlin, Heidelberg","reference-count":12,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642334146"},{"type":"electronic","value":"9783642334153"}],"license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"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":[[2012]]},"DOI":"10.1007\/978-3-642-33415-3_14","type":"book-chapter","created":{"date-parts":[[2012,9,21]],"date-time":"2012-09-21T16:17:16Z","timestamp":1348244236000},"page":"107-114","source":"Crossref","is-referenced-by-count":0,"title":["Fuzzy Multi-class Statistical Modeling for Efficient Total Lesion Metabolic Activity Estimation from Realistic PET Images"],"prefix":"10.1007","author":[{"given":"Jose","family":"George","sequence":"first","affiliation":[]},{"given":"Kathleen","family":"Vunckx","sequence":"additional","affiliation":[]},{"given":"Elke","family":"Van de Casteele","sequence":"additional","affiliation":[]},{"given":"Sabine","family":"Tejpar","sequence":"additional","affiliation":[]},{"given":"Christophe M.","family":"Deroose","sequence":"additional","affiliation":[]},{"given":"Johan","family":"Nuyts","sequence":"additional","affiliation":[]},{"given":"Dirk","family":"Loeckx","sequence":"additional","affiliation":[]},{"given":"Paul","family":"Suetens","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"3","key":"14_CR1","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1109\/83.557353","volume":"6","author":"H. Caillol","year":"1997","unstructured":"Caillol, H., Pieczynski, W., Hillion, A.: Estimation of fuzzy Gaussian mixture and unsupervised statistical image segmentation. IEEE Trans. Image Process.\u00a06(3), 425\u2013440 (1997)","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"14_CR2","first-page":"35","volume":"34","author":"G. Celeux","year":"1986","unstructured":"Celeux, G., Diebolt, J.: L\u2019algorithme SEM: Un algorithme d\u2019apprentissage probabiliste pour la reconnaissance de m\u00e9langes de densit\u00e9s. Revue de Statistique Appliqu\u00e9e\u00a034(2), 35\u201352 (1986)","journal-title":"Revue de Statistique Appliqu\u00e9e"},{"issue":"3","key":"14_CR3","doi-asserted-by":"publisher","first-page":"340","DOI":"10.2967\/jnumed.108.058461","volume":"50","author":"C.M. Costelloe","year":"2009","unstructured":"Costelloe, C.M., Macapinlac, H.A., Madewell, J.E., Fitzgerald, N.E., Mawlawi, O.R., Rohren, E.M., Raymond, A.K., Lewis, V.O., Anderson, P.M., Bassett Jr., R.L., Harrell, R.K., Marom, E.M.: 18 F-FDG PET\/CT as an indicator of progression-free and overall survival in osteosarcoma. J. Nucl. Med.\u00a050(3), 340\u2013347 (2009)","journal-title":"J. Nucl. Med."},{"issue":"1","key":"14_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"A.P. Dempster","year":"1977","unstructured":"Dempster, A.P., Laird, N.M., Jain, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. Roy. Stat. Soc. B Stat. Meth.\u00a039(1), 1\u201338 (1977)","journal-title":"J. Roy. Stat. Soc. B Stat. Meth."},{"issue":"3","key":"14_CR5","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1109\/34.990138","volume":"24","author":"M.A.T. Figueiredo","year":"2002","unstructured":"Figueiredo, M.A.T., Jain, A.K.: Unsupervised learning of finite mixture models. IEEE Trans. Pattern Anal. Mach. Intell.\u00a024(3), 381\u2013396 (2002)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"14_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1007\/978-3-642-24319-6_29","volume-title":"Machine Learning in Medical Imaging","author":"J. George","year":"2011","unstructured":"George, J., Vunckx, K., Tejpar, S., Deroose, C.M., Nuyts, J., Loeckx, D., Suetens, P.: Fuzzy Statistical Unsupervised Learning Based Total Lesion Metabolic Activity Estimation in Positron Emission Tomography Images. In: Suzuki, K., Wang, F., Shen, D., Yan, P. (eds.) MLMI 2011. LNCS, vol.\u00a07009, pp. 233\u2013240. Springer, Heidelberg (2011)"},{"issue":"9","key":"14_CR7","doi-asserted-by":"publisher","first-page":"1368","DOI":"10.2967\/jnumed.110.078501","volume":"51","author":"M. Hatt","year":"2010","unstructured":"Hatt, M., Le Rest, C.C., Aboagye, E.O., Kenny, L.M., Rosso, L., Turkheimer, F.E., Albarghach, N.M., Metges, J.P., Pradier, O., Visvikis, D.: Reproducibility of 18 F-FDG and 3\u2019-Deoxy-3\u2019-18 F-Fluorothymidine PET tumor volume measurements. J. Nucl. Med.\u00a051(9), 1368\u20131376 (2010)","journal-title":"J. Nucl. Med."},{"issue":"1","key":"14_CR8","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/j.ijrobp.2009.08.018","volume":"77","author":"M. Hatt","year":"2010","unstructured":"Hatt, M., Le Rest, C.C., Descourt, P., Dekker, A., Ruysscher, D.D., Oellers, M., Lambin, P., Pradier, O., Visvikis, D.: Accurate automatic delineation of heterogeneous functional volumes in positron emission tomography for oncology applications. Int. J. Radiation Oncology\u00a077(1), 301\u2013308 (2010)","journal-title":"Int. J. Radiation Oncology"},{"issue":"4","key":"14_CR9","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1109\/42.363108","volume":"13","author":"H.M. Hudson","year":"1994","unstructured":"Hudson, H.M., Larkin, R.S.: Accelerated image reconstruction using ordered subsets of projection data. IEEE Trans. Med. Imag.\u00a013(4), 601\u2013609 (1994)","journal-title":"IEEE Trans. Med. Imag."},{"issue":"1","key":"14_CR10","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1109\/TNS.2003.823011","volume":"51","author":"A. Reilhac","year":"2004","unstructured":"Reilhac, A., Lartizien, C., Costes, N., Sans, S., Comtat, C., Gunn, R.N., Evans, A.C.: PET-SORTEO: A Monte Carlo-based simulator with high count rate capabilities. IEEE Trans. Nucl. Sci.\u00a051(1), 46\u201352 (2004)","journal-title":"IEEE Trans. Nucl. Sci."},{"key":"14_CR11","unstructured":"Segars, W.P.: Development of a new dynamic NURBS-based cardiac-torso (NCAT) phantom. PhD Dissertation, The University of North Carolina (2001)"},{"issue":"suppl. 1","key":"14_CR12","doi-asserted-by":"publisher","first-page":"122","DOI":"10.2967\/jnumed.108.057307","volume":"50","author":"R.L. Wahl","year":"2009","unstructured":"Wahl, R.L., Jacene, H., Kasamon, Y., Lodge, M.A.: From RECIST to PERCIST: evolving considerations for PET response criteria in solid tumors. J. Nucl. Med.\u00a050(suppl. 1), 122S\u2013150S (2009)","journal-title":"J. Nucl. Med."}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2012"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-33415-3_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,29]],"date-time":"2024-04-29T17:38:41Z","timestamp":1714412321000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-33415-3_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642334146","9783642334153"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-33415-3_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}