{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T20:08:56Z","timestamp":1773086936984,"version":"3.50.1"},"reference-count":33,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/embc.2018.8512458","type":"proceedings-article","created":{"date-parts":[[2018,11,15]],"date-time":"2018-11-15T23:03:08Z","timestamp":1542322988000},"page":"656-660","source":"Crossref","is-referenced-by-count":14,"title":["Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset"],"prefix":"10.1109","author":[{"given":"Jan","family":"Egger","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Birgit","family":"Pfarrkirchner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christina","family":"Gsaxner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lydia","family":"Lindner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dieter","family":"Schmalstieg","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jurgen","family":"Wallner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","article-title":"Exploit 18F-FDG enhanced urinary bladder in PET data for deep learning ground truth generation in CT scans","author":"gsaxner","year":"1057","journal-title":"SPIE Medical Imaging Conference"},{"key":"ref32","first-page":"1","article-title":"Simulation of Bifurcated Stent Grafts to Treat Abdominal Aortic Aneurysms (AAA)","author":"egger","year":"6509","journal-title":"SPIE"},{"key":"ref31","first-page":"5","article-title":"Interactive Volumetry of Liver Ablation Zones","volume":"15373","author":"egger","year":"2015"},{"key":"ref30","first-page":"165a","article-title":"Fiber tractography based on diffusion tensor imaging (DTI) compared with High Angular Resolution Diffusion Imaging (HARDI) with compressed sensing (CS) - initial experience and clinical impact","volume":"72","author":"kuhnt","year":"2013","journal-title":"Neurosurgery"},{"key":"ref10","first-page":"3","article-title":"GBM Volumetry using the 3D Slicer Medical Image Computing Platform","author":"egger","year":"1364","journal-title":"Sci Rep"},{"key":"ref11","article-title":"Algorithmic evaluation of lower jawbone segmentations","author":"egger","year":"1013","journal-title":"SPIE Medical Imaging Conference"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12045"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref14","article-title":"TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems","author":"abadi","year":"2016","journal-title":"CoRR"},{"key":"ref15","article-title":"TFLearn: Deep learning library featuring a higherlevel API for TensorFlow","year":"2017"},{"key":"ref16","article-title":"Lower jawbone data generation for deep learning tools under MeVisLab","author":"pfarrkirchner","year":"2018","journal-title":"SPIE Medical Imaging Conference"},{"key":"ref17","article-title":"TensorFlow-Slim","author":"guadarrama","year":"2017"},{"key":"ref18","article-title":"Deep Residual Learning for Instrument Segmentation in Robotic Surgery","author":"pakhomov","year":"2017","journal-title":"arXiv preprint arXiv 1703 08580"},{"key":"ref19","article-title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","author":"simonyan","year":"2014","journal-title":"CoRR abs\/1409 1556"},{"key":"ref28","first-page":"51","article-title":"Segmentation of Aortic Aneurysms in CTA Images with the Statistic Approach of the Active Appearance Models","author":"greiner","year":"2008","journal-title":"Proceedings of Bildverarbeitung für die Medizin (BVM) Berlin Germany Springer Press"},{"key":"ref4","first-page":"135","article-title":"Segmentation of Vertebral Bodies in MR Images","author":"zukic","year":"2012","journal-title":"Vision Modeling and Visualization"},{"key":"ref27","article-title":"Detection and Visualization of Endoleaks in CT Data for Monitoring of Thoracic and Abdominal Aortic Aneurysm Stents","volume":"6918","author":"lu","year":"2008","journal-title":"SPIE Proc Med Img"},{"key":"ref3","first-page":"415","article-title":"Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields","author":"christ","year":"2016","journal-title":"MICCAI"},{"key":"ref6","first-page":"69","article-title":"A Cube-Based Approach to Segment Vertebrae in MRI-Acquisitions","author":"schwarzenberg","year":"2013","journal-title":"BVM Springer"},{"key":"ref29","first-page":"392","article-title":"Preoperative Measurement of Aneurysms and Stenosis and Stent-Simulation for Endovascular Treatment","author":"egger","year":"2007","journal-title":"ISBI"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12343"},{"key":"ref8","article-title":"Refinement-Cut: User-Guided Segmentation Algorithm for Translational Science","volume":"4","author":"egger","year":"5164","journal-title":"Sci Rep"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2011.01.077"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1038\/505146a","article-title":"Computer science: The learning machines","volume":"505","author":"jones","year":"7482","journal-title":"Nature"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-011-9761-7"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"7553","journal-title":"Nature"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref22","article-title":"Multi-threaded integration of HTC-Vive and MeVisLab","author":"gunacker","year":"1057","journal-title":"SPIE Medical Imaging Conference"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/rcs.1415"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2011.12.002"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2007.4353779"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-010-0423-x"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0173972"}],"event":{"name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","location":"Honolulu, HI","start":{"date-parts":[[2018,7,18]]},"end":{"date-parts":[[2018,7,21]]}},"container-title":["2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8471725\/8512178\/08512458.pdf?arnumber=8512458","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T19:34:41Z","timestamp":1598211281000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8512458\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/embc.2018.8512458","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}