{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:05:43Z","timestamp":1730199943548,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/bibm.2018.8621196","type":"proceedings-article","created":{"date-parts":[[2019,2,28]],"date-time":"2019-02-28T17:32:01Z","timestamp":1551375121000},"page":"919-926","source":"Crossref","is-referenced-by-count":0,"title":["Automatic Hand Skeletal Shape Estimation from Radiographs"],"prefix":"10.1109","author":[{"given":"Radu Paul","family":"Mihail","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nathan","family":"Jacobs","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","first-page":"1693","DOI":"10.3906\/elk-1305-271","article-title":"Bone age determination in young children (newborn to 6 years old) using support vector machines","volume":"24","author":"g\u00fcraskin","year":"2016","journal-title":"Turkish Journal of Electrical Engineering & Computer Sciences"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00167"},{"key":"ref12","first-page":"2017","article-title":"Spatial transformer networks","author":"jaderberg","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref14","first-page":"1097","article-title":"Hinton. Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref15","first-page":"170236","article-title":"Performance of a deep-learning neural network model in assessing skeletal maturity on pediatric hand radiographs","author":"larson","year":"2017","journal-title":"Radiology"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"1150","DOI":"10.1109\/ICCV.1999.790410","article-title":"Object recognition from local scale-invariant features","volume":"2","author":"lowe","year":"1999","journal-title":"Computer Vision 1999 The Proceedings of the Seventh IEEE International Conference on"},{"key":"ref17","first-page":"36","article-title":"Practices for managing a flare of long-standing rheumatoid arthritis: survey among french rheumatologists","volume":"23","author":"maravic","year":"2005","journal-title":"Clin Exp Rheumatol"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2008.11.001"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2014.6836070"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.260"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2011.6116543"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.rdc.2010.02.001"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1561\/0600000035"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2015.11.004"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1007\/978-3-319-46654-5_8","article-title":"Face landmark localization using a single deep network","author":"deng","year":"2016","journal-title":"Chinese Conference on Biometric Recognition"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s00256-017-2616-7"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1097\/00000441-195909000-00030"},{"key":"ref1","article-title":"Segnet: A deep convolutional encoder-decoder architecture for image segmentation","author":"badrinarayanan","year":"2015","journal-title":"arXiv preprint arXiv 1511 05271"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1186\/ar4163"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1002\/art.39480"},{"key":"ref21","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref24","article-title":"Quantized densely connected u-nets for efficient landmark localization","author":"tang","year":"2018","journal-title":"arXiv preprint arXiv 1808 02194"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2017.40"},{"key":"ref25","first-page":"150","article-title":"Growcut: Interactive multi-label nd image segmentation by cellular automata","volume":"1","author":"vezhnevets","year":"2005","journal-title":"Proc of Graphicon"}],"event":{"name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2018,12,3]]},"location":"Madrid, Spain","end":{"date-parts":[[2018,12,6]]}},"container-title":["2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8609864\/8621069\/08621196.pdf?arnumber=8621196","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T21:59:47Z","timestamp":1598219987000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8621196\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/bibm.2018.8621196","relation":{},"subject":[],"published":{"date-parts":[[2018,12]]}}}