{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T03:00:57Z","timestamp":1761966057819,"version":"build-2065373602"},"reference-count":17,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011,3]]},"DOI":"10.1109\/isbi.2011.5872821","type":"proceedings-article","created":{"date-parts":[[2011,6,18]],"date-time":"2011-06-18T02:50:23Z","timestamp":1308365423000},"page":"2076-2082","source":"Crossref","is-referenced-by-count":16,"title":["Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors"],"prefix":"10.1109","author":[{"given":"Marius","family":"Erdt","sequence":"first","affiliation":[{"name":"Fraunhofer Institute for Computer Graphics Research (IGD), Cognitive Computing & Medical Imaging, Darmstadt, Germany"}]},{"given":"Matthias","family":"Kirschner","sequence":"additional","affiliation":[{"name":"Technische Universitaet Darmstadt, Graphisch-Interaktive Systeme, Germany"}]},{"given":"Klaus","family":"Drechsler","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Computer Graphics Research (IGD), Cognitive Computing & Medical Imaging, Darmstadt, Germany"}]},{"given":"Stefan","family":"Wesarg","sequence":"additional","affiliation":[{"name":"Technische Universitaet Darmstadt, Graphisch-Interaktive Systeme, Germany"}]},{"given":"Matthias","family":"Hammon","sequence":"additional","affiliation":[{"name":"University Hospital Erlangen, Radiology Institute, Germany"}]},{"given":"Alexander","family":"Cavallaro","sequence":"additional","affiliation":[{"name":"University Hospital Erlangen, Radiology Institute, Germany"}]}],"member":"263","reference":[{"journal-title":"The Elements of Statistical Learning Data Mining Inference and Prediction","year":"2003","author":"hastie","key":"ref10"},{"journal-title":"Classification and Regression Trees","year":"1984","author":"breiman","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-006-7899-4"},{"key":"ref13","first-page":"161","article-title":"A statistical deformable model for the segmentation of liver ct volumes","author":"heimann","year":"2007","journal-title":"MICCAI 2007 Workshop Proceedings 3D Segmentation in the Clinic A Grand Challenge"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1006\/cviu.1995.1004"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/34.121791"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.4.000629"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2009.2013851"},{"key":"ref4","first-page":"1814","article-title":"Medical image processing competition in japan","author":"magjarevic","year":"0","journal-title":"World Congress on Medical Physics and Biomedical Engineering 2010 vol 25\/4 of IFMBE Proceedings"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-009-0384-0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CBMS.2010.6042650"},{"key":"ref5","first-page":"40","article-title":"A method for extracting pancreas regions from four-phase contrasted 3d abdominal ct images","volume":"3","author":"kitasaka","year":"2008","journal-title":"Int J Computer Assisted Radiology and Surgery"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2010.5706609"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1007\/978-3-540-79982-5_44","article-title":"Automatic hepatic vessel segmentation using graphics hardware","volume":"5128","author":"erdt","year":"2008","journal-title":"Medical Imaging and Augmented Reality"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-007-0135-z"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1136\/gut.2006.103333"},{"key":"ref9","first-page":"1","article-title":"Fast automatic heart chamber segmentation from 3d ct data using marginal space learning and steerable features","author":"zhen","year":"2007","journal-title":"11th Int Conf on Computer Vision (ICCV)"}],"event":{"name":"2011 8th IEEE International Symposium on Biomedical Imaging (ISBI 2011)","start":{"date-parts":[[2011,3,30]]},"location":"Chicago, IL, USA","end":{"date-parts":[[2011,4,2]]}},"container-title":["2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/5783450\/5872340\/05872821.pdf?arnumber=5872821","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,8]],"date-time":"2021-06-08T12:13:48Z","timestamp":1623154428000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/5872821\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,3]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/isbi.2011.5872821","relation":{},"subject":[],"published":{"date-parts":[[2011,3]]}}}