{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T05:08:43Z","timestamp":1768194523841,"version":"3.49.0"},"publisher-location":"Berlin, Heidelberg","reference-count":14,"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_21","type":"book-chapter","created":{"date-parts":[[2011,6,17]],"date-time":"2011-06-17T17:49:59Z","timestamp":1308332999000},"page":"245-256","source":"Crossref","is-referenced-by-count":63,"title":["Globally Optimal Tumor Segmentation in PET-CT Images: A Graph-Based Co-segmentation Method"],"prefix":"10.1007","author":[{"given":"Dongfeng","family":"Han","sequence":"first","affiliation":[]},{"given":"John","family":"Bayouth","sequence":"additional","affiliation":[]},{"given":"Qi","family":"Song","sequence":"additional","affiliation":[]},{"given":"Aakant","family":"Taurani","sequence":"additional","affiliation":[]},{"given":"Milan","family":"Sonka","sequence":"additional","affiliation":[]},{"given":"John","family":"Buatti","sequence":"additional","affiliation":[]},{"given":"Xiaodong","family":"Wu","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"21_CR1","doi-asserted-by":"crossref","unstructured":"Baardwijk, A., Bosmans, G., Boersma, L., et al.: PET-CT-based auto-contouring in non-small-cell lung cancer correlates with pathology and reduces interobserver variability in the delineation of the primary tumor and involved nodal volumes. International Journal of Radiation Oncology, Biology and Physics 68(3) (2007)","DOI":"10.1016\/j.ijrobp.2006.12.067"},{"issue":"2","key":"21_CR2","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/s11263-006-7934-5","volume":"70","author":"Y. Boykov","year":"2006","unstructured":"Boykov, Y., Funka-Lea, G.: Graph cuts and efficient nd image segmentation. International Journal of Computer Vision\u00a070(2), 109\u2013131 (2006)","journal-title":"International Journal of Computer Vision"},{"key":"21_CR3","doi-asserted-by":"publisher","first-page":"4280","DOI":"10.1118\/1.2361076","volume":"33","author":"E. Ford","year":"2006","unstructured":"Ford, E., Kinahan, P., Hanlon, L., et al.: Tumor delineation using PET in head and neck cancers: threshold contouring and lesion volumes. Medical Physics\u00a033, 4280 (2006)","journal-title":"Medical Physics"},{"key":"21_CR4","doi-asserted-by":"crossref","unstructured":"Han, D., Bayouth, J., Bhatia, S., Sonka, M., Wu, X.: Motion Artifact Reduction in 4D Helical CT: Graph-Based Structure Alignment. Medical Computer Vision. In: Recognition Techniques and Applications in Medical Imaging (MICCAI MCV), pp. 63\u201373 (2011)","DOI":"10.1007\/978-3-642-18421-5_7"},{"key":"21_CR5","doi-asserted-by":"crossref","unstructured":"Han, D., Wu, X., Sonka, M.: Optimal multiple surfaces searching for video\/image resizing-a graph-theoretic approach. In: IEEE 12th International Conference on Computer Vision, ICCV 2009, pp. 1026\u20131033 (2009)","DOI":"10.1109\/ICCV.2009.5459380"},{"issue":"1","key":"21_CR6","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1109\/TMI.2009.2035616","volume":"29","author":"S. Klein","year":"2010","unstructured":"Klein, S., Staring, M., Murphy, K., Viergever, M.A., Pluim, J.P.W.: Elastix: a toolbox for intensity-based medical image registration. IEEE Transactions on Medical Imaging\u00a029(1), 196\u2013205 (2010)","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"21_CR7","doi-asserted-by":"crossref","unstructured":"Potesil, V., Huang, X., Zhou, X.: Automated tumor delineation using joint PET\/CT information. In: Proc. SPIE International Symposium on Medical Imaging: Computer-Aided Diagnosis, vol. 6514 (2007)","DOI":"10.1117\/12.710216"},{"key":"21_CR8","doi-asserted-by":"crossref","unstructured":"Riegel, A., Berson, A., Destian, S., et al.: Variability of gross tumor volume delineation in head-and-neck cancer using CT and PET\/CT fusion. International Journal of Radiation Oncology, Biology and Physics 65(3) (2006)","DOI":"10.1016\/j.ijrobp.2006.01.014"},{"key":"21_CR9","doi-asserted-by":"crossref","unstructured":"Song, Q., Chen, M., Bai, J., Sonka, M., Wu, X.: Surface\u2013region context in optimal multi-object graph-based segmentation: Robust delineation of pulmonary tumors. In: Sz\u00e9kely, G., Hahn, H.K. (eds.) IPMI 2011. LNCS, vol.\u00a06801, pp. 61\u201372. Springer, Heidelberg (2011), (this volume)","DOI":"10.1007\/978-3-642-22092-0_6"},{"key":"21_CR10","doi-asserted-by":"crossref","unstructured":"Song, Q., Wu, X., Liu, Y., Haeker, M., Sonka, M.: Simultaneous searching of globally optimal interacting surfaces with shape priors. In: CVPR (2010)","DOI":"10.1109\/CVPR.2010.5540025"},{"key":"21_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"827","DOI":"10.1007\/978-3-642-04271-3_100","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2009","author":"Q. Song","year":"2009","unstructured":"Song, Q., Wu, X., Liu, Y., Smith, M., Buatti, J., Sonka, M.: Optimal graph search segmentation using arc-weighted graph for simultaneous surface detection of bladder and prostate. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol.\u00a05762, pp. 827\u2013835. Springer, Heidelberg (2009)"},{"key":"21_CR12","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1109\/MMSP.2008.4665057","volume-title":"2008 IEEE 10th Workshop on Multimedia Signal Processing","author":"Y. Xia","year":"2008","unstructured":"Xia, Y., Wen, L., Eberl, S., Fulham, M., Feng, D.: Segmentation of dual modality brain PET\/CT images using the MAP-MRF model. In: 2008 IEEE 10th Workshop on Multimedia Signal Processing, pp. 107\u2013110. IEEE, Los Alamitos (2008)"},{"issue":"3","key":"21_CR13","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1109\/TMI.2008.2004425","volume":"28","author":"H. Yu","year":"2009","unstructured":"Yu, H., Caldwell, C., Mah, K., Mozeg, D.: Coregistered FDG PET\/CT-based textural characterization of head and neck cancer for radiation treatment planning. IEEE Transactions on Medical Imaging\u00a028(3), 374\u2013383 (2009)","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"2","key":"21_CR14","doi-asserted-by":"publisher","first-page":"618","DOI":"10.1016\/j.ijrobp.2009.04.043","volume":"75","author":"H. Yu","year":"2009","unstructured":"Yu, H., Caldwell, C., Mah, K., et al.: Automated radiation targeting in head-and-neck cancer using region-based texture analysis of PET and CT images. International Journal of Radiation Oncology, Biology and Physics\u00a075(2), 618\u2013625 (2009)","journal-title":"International Journal of Radiation Oncology, Biology and Physics"}],"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_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,6]],"date-time":"2025-03-06T07:30:26Z","timestamp":1741246226000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-22092-0_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642220913","9783642220920"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-22092-0_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011]]}}}