{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T12:40:20Z","timestamp":1776688820376,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,5,24]],"date-time":"2019-05-24T00:00:00Z","timestamp":1558656000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,5,24]]},"DOI":"10.1145\/3339363.3339372","type":"proceedings-article","created":{"date-parts":[[2019,7,8]],"date-time":"2019-07-08T16:54:49Z","timestamp":1562604889000},"page":"45-49","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["A Neural Network-based Method for Automatic Pericardium Segmentation"],"prefix":"10.1145","author":[{"given":"Zhiquan","family":"Li","sequence":"first","affiliation":[{"name":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou Guangdong P. R., China"}]},{"given":"Lin","family":"Zou","sequence":"additional","affiliation":[{"name":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou Guangdong P. R., China"}]},{"given":"Ran","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou Guangdong P. R., China"}]}],"member":"320","published-online":{"date-parts":[[2019,5,24]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Miller J. F. 2002. The discovery of thymus function and of thymus-derived lymphocytes. Immunological reviews 185(1) 7--14.  Miller J. F. 2002. The discovery of thymus function and of thymus-derived lymphocytes. Immunological reviews 185(1) 7--14.","DOI":"10.1034\/j.1600-065X.2002.18502.x"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.142.1.7053521"},{"key":"e_1_3_2_1_3_1","unstructured":"Christ P. F. Ettlinger F. Gr\u00fcn F. Elshaera M. E. A. Lipkova J. Schlecht S. ... & Rempfler M. 2017. Automatic liver and tumor segmentation of CT and MRI volumes using cascaded fully convolutional neural networks. arXiv preprint arXiv:1702.05970.  Christ P. F. Ettlinger F. Gr\u00fcn F. Elshaera M. E. A. Lipkova J. Schlecht S. ... & Rempfler M. 2017. Automatic liver and tumor segmentation of CT and MRI volumes using cascaded fully convolutional neural networks. arXiv preprint arXiv:1702.05970."},{"key":"e_1_3_2_1_4_1","volume-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 621--629)","author":"Harrison A. P.","year":"2017","unstructured":"Harrison , A. P. , Xu , Z. , George , K. , Lu , L. , Summers , R. M. , & Mollura , D. J. 2017 , September. Progressive and multi-path holistically nested neural networks for pathological lung segmentation from CT images . In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 621--629) . Springer, Cham. Harrison, A. P., Xu, Z., George, K., Lu, L., Summers, R. M., & Mollura, D. J. 2017, September. Progressive and multi-path holistically nested neural networks for pathological lung segmentation from CT images. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 621--629). Springer, Cham."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.3.3.034003"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Rodrigues \u00c9. O. Rodrigues L. O. Oliveira L. S. N. Conci A. & Liatsis P. 2017. Automated recognition of the pericardium contour on processed CT images using genetic algorithms. Computers in biology and medicine 87 38--45.  Rodrigues \u00c9. O. Rodrigues L. O. Oliveira L. S. N. Conci A. & Liatsis P. 2017. Automated recognition of the pericardium contour on processed CT images using genetic algorithms. Computers in biology and medicine 87 38--45.","DOI":"10.1016\/j.compbiomed.2017.05.013"},{"key":"e_1_3_2_1_8_1","volume-title":"Medical Imaging 2010: Image Processing (Vol. 7623","author":"Yalamanchili R.","unstructured":"Yalamanchili , R. , Dey , D. , Kukure , U. , Nakazato , R. , Berman , D. S. , & Kakadiaris , I. A. 2010, March . Knowledge-based quantification of pericardial fat in non-contrast CT data . In Medical Imaging 2010: Image Processing (Vol. 7623 , p. 76231X). International Society for Optics and Photonics . Yalamanchili, R., Dey, D., Kukure, U., Nakazato, R., Berman, D. S., & Kakadiaris, I. A. 2010, March. Knowledge-based quantification of pericardial fat in non-contrast CT data. In Medical Imaging 2010: Image Processing (Vol. 7623, p. 76231X). International Society for Optics and Photonics."},{"key":"e_1_3_2_1_9_1","unstructured":"Ding X. Pang J. Ren Z. Diaz-Zamudio M. Berman D. S. Li D. ... & Dey D. 2015. Automated Pericardial Fat Quantification from Coronary Magnetic Resonance Angiography. In MIUA (pp. 80--85).  Ding X. Pang J. Ren Z. Diaz-Zamudio M. Berman D. S. Li D. ... & Dey D. 2015. Automated Pericardial Fat Quantification from Coronary Magnetic Resonance Angiography. In MIUA (pp. 80--85)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2015.09.017"},{"key":"e_1_3_2_1_11_1","volume-title":"A Computed Tomography Cardiac Fat Dataset","author":"Visual Lab","year":"2014","unstructured":"Visual Lab , A Computed Tomography Cardiac Fat Dataset , 2014 http:\/\/visual.ic.uff.br\/en\/cardio\/ctfat\/index.php. Visual Lab, A Computed Tomography Cardiac Fat Dataset, 2014 http:\/\/visual.ic.uff.br\/en\/cardio\/ctfat\/index.php."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"e_1_3_2_1_13_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980.","author":"Kingma D. P.","year":"2014","unstructured":"Kingma , D. P. , & Ba , J. 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980. Kingma, D. P., & Ba, J. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980."}],"event":{"name":"CSSE 2019: 2019 2nd International Conference on Computer Science and Software Engineering","location":"Xi'an China","acronym":"CSSE 2019","sponsor":["Research Center for Science and Technology for Learning, National Central University, Taiwan"]},"container-title":["Proceedings of the 2nd International Conference on Computer Science and Software Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3339363.3339372","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3339363.3339372","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:54:07Z","timestamp":1750204447000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3339363.3339372"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,24]]},"references-count":13,"alternative-id":["10.1145\/3339363.3339372","10.1145\/3339363"],"URL":"https:\/\/doi.org\/10.1145\/3339363.3339372","relation":{},"subject":[],"published":{"date-parts":[[2019,5,24]]},"assertion":[{"value":"2019-05-24","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}