{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T22:22:31Z","timestamp":1765232551770,"version":"3.28.0"},"reference-count":9,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,3,2]]},"DOI":"10.1117\/12.2293371","type":"proceedings-article","created":{"date-parts":[[2018,3,2]],"date-time":"2018-03-02T16:42:14Z","timestamp":1520008934000},"page":"75","source":"Crossref","is-referenced-by-count":11,"title":["Neural network fusion: a novel CT-MR aortic aneurysm image segmentation method"],"prefix":"10.1117","author":[{"given":"Duo","family":"Wang","sequence":"first","affiliation":[]},{"given":"Rui","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Zhongzhao","family":"Teng","sequence":"first","affiliation":[]},{"given":"Yuan","family":"Huang","sequence":"first","affiliation":[]},{"given":"Filippo","family":"Spiga","sequence":"first","affiliation":[]},{"given":"Michael Hong-Fei","family":"Du","sequence":"first","affiliation":[]},{"given":"Jonathan  H.","family":"Gillard","sequence":"first","affiliation":[]},{"given":"Qingsheng","family":"Lu","sequence":"first","affiliation":[]},{"given":"Pietro","family":"Lio","sequence":"first","affiliation":[]},{"given":"Jin","family":"Zhu","sequence":"first","affiliation":[]}],"member":"189","reference":[{"key":"c1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(05)66459-8"},{"key":"c2","first-page":"1529","article-title":"Conditional random fields as recurrent neural networks","author":"Zheng","year":"2015"},{"key":"c3","first-page":"1520","article-title":"Learning deconvolution network for semantic segmentation","author":"Noh","year":"2015"},{"key":"c4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4"},{"key":"c5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-55524-9"},{"key":"c6","first-page":"254","article-title":"Representation learning: a unified deep learning framework for automatic prostate mr segmentation","author":"Liao","year":"2013"},{"key":"c7","article-title":"Evaluation of five image registration tools for abdominal ct: pitfalls and opportunities with soft anatomy","volume":"9413","author":"Lee","year":"2015"},{"key":"c8","first-page":"179","article-title":"The importance of skip connections in biomedical image segmentation","author":"Drozdzal","year":"2016"},{"key":"c9","first-page":"1412.6980","article-title":"Adam: A method for stochastic optimization","volume":"arXiv","author":"Kingma","year":"2014"}],"event":{"name":"Image Processing","start":{"date-parts":[[2018,2,10]]},"location":"Houston, United States","end":{"date-parts":[[2018,2,15]]}},"container-title":["Medical Imaging 2018: Image Processing"],"original-title":[],"deposited":{"date-parts":[[2018,5,23]],"date-time":"2018-05-23T18:09:19Z","timestamp":1527098959000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/10574\/2293371\/Neural-network-fusion--a-novel-CT-MR-aortic-aneurysm\/10.1117\/12.2293371.full"}},"subtitle":[],"editor":[{"given":"Elsa D.","family":"Angelini","sequence":"first","affiliation":[]},{"given":"Bennett A.","family":"Landman","sequence":"first","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2018,3,2]]},"references-count":9,"URL":"https:\/\/doi.org\/10.1117\/12.2293371","relation":{},"subject":[],"published":{"date-parts":[[2018,3,2]]}}}