{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T17:55:36Z","timestamp":1729619736505,"version":"3.28.0"},"reference-count":29,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,4,4]]},"DOI":"10.1117\/12.2613065","type":"proceedings-article","created":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T23:43:59Z","timestamp":1648683839000},"page":"48","source":"Crossref","is-referenced-by-count":1,"title":["CT-based segmentation of thoracic vertebrae using deep learning and computation of the kyphotic angle"],"prefix":"10.1117","author":[{"given":"Syed Ahmed","family":"Nadeem","sequence":"first","affiliation":[]},{"given":"Alejandro P.","family":"Comellas","sequence":"additional","affiliation":[]},{"given":"Indranil","family":"Guha","sequence":"additional","affiliation":[]},{"given":"Elizabeth A.","family":"Regan","sequence":"additional","affiliation":[]},{"given":"Eric A.","family":"Hoffman","sequence":"additional","affiliation":[]},{"given":"Punam K.","family":"Saha","sequence":"additional","affiliation":[]}],"member":"189","reference":[{"key":"c1","doi-asserted-by":"publisher","DOI":"10.1359\/jbmr.2002.17.4.716"},{"key":"c2","doi-asserted-by":"publisher","DOI":"10.1259\/0007-1285-67-802-969"},{"key":"c3","doi-asserted-by":"publisher","DOI":"10.1093\/oxfordjournals.aje.a115204"},{"key":"c4","doi-asserted-by":"publisher","DOI":"10.2214\/ajr.134.5.979"},{"key":"c5","doi-asserted-by":"publisher","DOI":"10.1111\/jgs.1997.45.issue-12"},{"key":"c6","first-page":"1489","article-title":"The aging lung","volume":"8","author":"Lowery","year":"2013","journal-title":"Clin Interv Aging"},{"key":"c7","doi-asserted-by":"publisher","DOI":"10.1097\/00007632-199405310-00010"},{"key":"c8","doi-asserted-by":"publisher","DOI":"10.1359\/JBMR.051201"},{"key":"c9","doi-asserted-by":"publisher","DOI":"10.1001\/archinte.159.11.1215"},{"key":"c10","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-150-10-200905190-00005"},{"key":"c11","doi-asserted-by":"publisher","DOI":"10.1513\/AnnalsATS.201412-591OC"},{"key":"c12","doi-asserted-by":"publisher","DOI":"10.1002\/jbmr.v34.5"},{"key":"c13","doi-asserted-by":"crossref","first-page":"713","DOI":"10.1109\/ICCME.2007.4381830","article-title":"An efficient method for segmentation of MRI spine images","volume-title":"Proc. of 2007 IEEE\/ICME International Conference on Complex Medical Engineering","author":"Shi","year":"2007"},{"key":"c14","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2006.05.005"},{"key":"c15","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2268424"},{"key":"c16","first-page":"227","article-title":"Spine segmentation using articulated shape models","volume-title":"Proc. of International conference on medical image computing and computer-assisted intervention","author":"Klinder","year":"2008"},{"key":"c17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcde.2018.05.002"},{"key":"c18","doi-asserted-by":"publisher","DOI":"10.3390\/app9030404"},{"key":"c19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2443912"},{"key":"c20","first-page":"108","article-title":"Attention-driven deep learning for pathological spine segmentation","volume-title":"Proc. of International Workshop on Computational Methods and Clinical Applications in Musculoskeletal Imaging","author":"Sekuboyina","year":"2017"},{"key":"c21","first-page":"424","article-title":"3D U-Net: learning dense volumetric segmentation from sparse annotation","volume-title":"Proc. of Med Imag Comp Comp-Assist Interven (MICCAI)","author":"\u00c7i\u00e7ek","year":"2016"},{"key":"c22","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","volume-title":"Proc. of Med Imag Comp Comp-Assist Interven (MICCAI)","author":"Ronneberger","year":"2015"},{"key":"c23","doi-asserted-by":"crossref","first-page":"760","DOI":"10.21437\/Interspeech.2016-1485","article-title":"Multi-task learning and weighted cross-entropy for DNN-based keyword spotting","volume-title":"Proc. of Interspeech","volume":"9","author":"Panchapagesan","year":"2016"},{"key":"c24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2006.01.015"},{"key":"c25","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-021-00569-5"},{"key":"c26","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv preprint arXiv:1412.6980"},{"key":"c27","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.42"},{"key":"c28","doi-asserted-by":"publisher","DOI":"10.1097\/01.brs.0000200131.01313.a9"},{"key":"c29","doi-asserted-by":"publisher","DOI":"10.3109\/15412550903499522"}],"event":{"name":"Biomedical Applications in Molecular, Structural, and Functional Imaging","start":{"date-parts":[[2022,2,20]]},"location":"San Diego, United States","end":{"date-parts":[[2022,3,28]]}},"container-title":["Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging"],"original-title":[],"deposited":{"date-parts":[[2024,9,21]],"date-time":"2024-09-21T09:05:35Z","timestamp":1726909535000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/12036\/2613065\/CT-based-segmentation-of-thoracic-vertebrae-using-deep-learning-and\/10.1117\/12.2613065.full"}},"subtitle":[],"editor":[{"given":"Barjor S.","family":"Gimi","sequence":"additional","affiliation":[]},{"given":"Andrzej","family":"Krol","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2022,4,4]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1117\/12.2613065","relation":{},"subject":[],"published":{"date-parts":[[2022,4,4]]}}}