{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T11:43:42Z","timestamp":1762429422430,"version":"3.44.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,11]]},"DOI":"10.1109\/bibm47256.2019.8983269","type":"proceedings-article","created":{"date-parts":[[2020,2,7]],"date-time":"2020-02-07T02:49:51Z","timestamp":1581043791000},"page":"1358-1364","source":"Crossref","is-referenced-by-count":9,"title":["A Deep Architecture for Surgical Workflow Recognition with Edge Information"],"prefix":"10.1109","author":[{"given":"Baolian","family":"Qi","sequence":"first","affiliation":[{"name":"University of Chinese Academy of Sciences,Beijing,China"}]},{"given":"Xiaolin","family":"Qin","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences,Beijing,China"}]},{"given":"Jia","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences,Beijing,China"}]},{"given":"Yang","family":"Xu","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences,Beijing,China"}]},{"given":"Yuwen","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences,Beijing,China"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3204949.3208137"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00937-3_31"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2340473"},{"key":"ref15","first-page":"18","volume":"1","author":"rajkomar","year":"2018","journal-title":"Scalable and accurate deep learning with electronic health records NPJ Digital Medicine"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2017.8217669"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s00464-017-5878-1"},{"key":"ref18","first-page":"45","article-title":"Phase recognition during surgical procedures using embedded and bodyworn sensors","author":"bardram","year":"0","journal-title":"IEEE International Conference on Pervasive Computing and Communications"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-008-0223-8"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.g7182"},{"key":"ref3","article-title":"Surgical phase modelling in minimal invasive surgery","author":"meeuwsen","year":"2018","journal-title":"Surgical Endoscopy"},{"key":"ref6","first-page":"45","article-title":"Phase recognition during surgical procedures using embedded and bodyworn sensors","author":"bardram","year":"0","journal-title":"Pervasive Computing and Communications (PerCom) 2011 IEEE International Conference on"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2011.2181168"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2593957"},{"journal-title":"Surgical Phase Recognition of Short Video Shots Based on Temporal Modeling of Deep Features","year":"2018","author":"loukas","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2787657"},{"journal-title":"RSDNet Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations","year":"2018","author":"twinanda","key":"ref1"},{"journal-title":"Automatic Detection of Surgical Phases in Laparoscopic Videos","year":"2018","author":"namazi","key":"ref9"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ROBIO.2012.6491111"},{"key":"ref22","first-page":"45","article-title":"Hager Surgical phase recognition: from instrumented ORs to hospitals around the world","author":"lea","year":"0","journal-title":"Medical image computing and computer-assisted intervention M2CAI—MICCAI workshop"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-016-1371-x"},{"journal-title":"Digital Image Processing and Analysis Human and Computer Vision Applications with CVIPtools","year":"2010","author":"umbaugh","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CBMI.2016.7500249"}],"event":{"name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2019,11,18]]},"location":"San Diego, CA, USA","end":{"date-parts":[[2019,11,21]]}},"container-title":["2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"https:\/\/linproxy.fan.workers.dev:443\/http\/xplorestaging.ieee.org\/ielx7\/8965270\/8982928\/08983269.pdf?arnumber=8983269","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T19:23:39Z","timestamp":1756754619000},"score":1,"resource":{"primary":{"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/ieeexplore.ieee.org\/document\/8983269\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":24,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.1109\/bibm47256.2019.8983269","relation":{},"subject":[],"published":{"date-parts":[[2019,11]]}}}