{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T04:15:04Z","timestamp":1771906504215,"version":"3.50.1"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319661841","type":"print"},{"value":"9783319661858","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-66185-8_48","type":"book-chapter","created":{"date-parts":[[2017,9,3]],"date-time":"2017-09-03T19:32:47Z","timestamp":1504467167000},"page":"424-432","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Personalized Pancreatic Tumor Growth Prediction via Group Learning"],"prefix":"10.1007","author":[{"given":"Ling","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Le","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Ronald M.","family":"Summers","sequence":"additional","affiliation":[]},{"given":"Electron","family":"Kebebew","sequence":"additional","affiliation":[]},{"given":"Jianhua","family":"Yao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,9,4]]},"reference":[{"issue":"3","key":"48_CR1","first-page":"27","volume":"2","author":"CC Chang","year":"2011","unstructured":"Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. (TIST) 2(3), 27 (2011)","journal-title":"ACM Trans. Intell. Syst. Technol. (TIST)"},{"issue":"10","key":"48_CR2","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 3D growth of brain tumors in MR images coupling diffusion with biomechanical deformation. TMI 24(10), 1334\u20131346 (2005)","journal-title":"TMI"},{"issue":"5","key":"48_CR3","first-page":"1153","volume":"35","author":"H Greenspan","year":"2016","unstructured":"Greenspan, H., van Ginneken, B., Summers, R.M.: Guest editorial deep learning in medical imaging: overview and future promise of an exciting new technique. TMI 35(5), 1153\u20131159 (2016)","journal-title":"TMI"},{"issue":"1\u20133","key":"48_CR4","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1023\/A:1012487302797","volume":"46","author":"I Guyon","year":"2002","unstructured":"Guyon, I., Weston, J., Barnhill, S., Vapnik, V.: Gene selection for cancer classification using support vector machines. Mach. Learn. 46(1\u20133), 389\u2013422 (2002)","journal-title":"Mach. Learn."},{"key":"48_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"642","DOI":"10.1007\/978-3-540-75757-3_78","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2007","author":"C Hogea","year":"2007","unstructured":"Hogea, C., Davatzikos, C., Biros, G.: Modeling glioma growth and mass effect in 3D MR images of the brain. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007. LNCS, vol. 4791, pp. 642\u2013650. Springer, Heidelberg (2007). doi:10.1007\/978-3-540-75757-3_78"},{"key":"48_CR6","doi-asserted-by":"crossref","unstructured":"Jia, Y.: Caffe: an open source convolutional architecture for fast feature embedding (2013). http:\/\/caffe.berkeleyvision.org\/","DOI":"10.1145\/2647868.2654889"},{"key":"48_CR7","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: NIPS, pp. 1097\u20131105 (2012)"},{"issue":"7","key":"48_CR8","doi-asserted-by":"publisher","first-page":"21","DOI":"10.4304\/jcp.1.7.21-31","volume":"1","author":"M Morris","year":"2006","unstructured":"Morris, M., Greiner, R., Sander, J., Murtha, A., Schmidt, M.: Learning a classification-based glioma growth model using MRI data. J. Comput. 1(7), 21\u201331 (2006)","journal-title":"J. Comput."},{"issue":"1","key":"48_CR9","first-page":"111","volume":"36","author":"KCL Wong","year":"2017","unstructured":"Wong, K.C.L., Summers, R.M., Kebebew, E., Yao, J.: Pancreatic tumor growth prediction with elastic-growth decomposition, image-derived motion, and FDM-FEM coupling. TMI 36(1), 111\u2013123 (2017)","journal-title":"TMI"},{"key":"48_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1007\/978-3-319-46723-8_75","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2016","author":"J Yao","year":"2016","unstructured":"Yao, J., Wang, S., Zhu, X., Huang, J.: Imaging biomarker discovery for lung cancer survival prediction. In: Ourselin, S., Joskowicz, L., Sabuncu, M.R., Unal, G., Wells, W. (eds.) MICCAI 2016. LNCS, vol. 9901, pp. 649\u2013657. Springer, Cham (2016). doi:10.1007\/978-3-319-46723-8_75"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer-Assisted Intervention \u2212 MICCAI 2017"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-66185-8_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T00:05:47Z","timestamp":1662336347000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-66185-8_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319661841","9783319661858"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-66185-8_48","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"4 September 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Quebec City, QC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.miccai2017.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}