{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T06:19:51Z","timestamp":1769581191675,"version":"3.49.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,5]]},"DOI":"10.1109\/icra40945.2020.9197328","type":"proceedings-article","created":{"date-parts":[[2020,9,15]],"date-time":"2020-09-15T17:25:46Z","timestamp":1600190746000},"page":"8455-8461","source":"Crossref","is-referenced-by-count":15,"title":["ACNN: a Full Resolution DCNN for Medical Image Segmentation"],"prefix":"10.1109","author":[{"given":"Xiao-Yun","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Jian-Qing","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Peichao","family":"Li","sequence":"additional","affiliation":[]},{"given":"Guang-Zhong","family":"Yang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref13","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2016","journal-title":"ICLRE"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00163"},{"key":"ref15","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"chen","year":"2017"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.353"},{"key":"ref17","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":"ref18","first-page":"801","article-title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","author":"chen","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref19","first-page":"4898","article-title":"Understanding the effective receptive field in deep convolutional neural networks","author":"luo","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref4","article-title":"Stent graft shape instantiation for fenestrated endovascular aortic repair","author":"zhou","year":"2016","journal-title":"Proceedings of the The Hamlyn Symposium on Medical Robotics The Hamlyn Symposium on Medical Robotics"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8594178"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2798286"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2928213"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref7","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32251-9_4"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.11.009"},{"key":"ref20","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2896518"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2578680"},{"key":"ref23","article-title":"Evaluation framework for algorithms segmenting short axis cardiac mri","volume":"49","author":"radau","year":"2009","journal-title":"The MIDAS Journal - Cardiac MR Left Ventricle Segmentation Challenge"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2018.05.008"}],"event":{"name":"2020 IEEE International Conference on Robotics and Automation (ICRA)","location":"Paris, France","start":{"date-parts":[[2020,5,31]]},"end":{"date-parts":[[2020,8,31]]}},"container-title":["2020 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9187508\/9196508\/09197328.pdf?arnumber=9197328","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T20:27:24Z","timestamp":1656361644000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9197328\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icra40945.2020.9197328","relation":{},"subject":[],"published":{"date-parts":[[2020,5]]}}}