{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T06:29:44Z","timestamp":1767853784765,"version":"3.49.0"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2017YFB1302704"],"award-info":[{"award-number":["2017YFB1302704"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1713220"],"award-info":[{"award-number":["U1713220"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2980005","type":"journal-article","created":{"date-parts":[[2020,3,11]],"date-time":"2020-03-11T21:29:12Z","timestamp":1583962152000},"page":"50648-50658","source":"Crossref","is-referenced-by-count":7,"title":["Real-Time Iris Tracking Using Deep Regression Networks for Robotic Ophthalmic Surgery"],"prefix":"10.1109","volume":"8","author":[{"given":"Huaiyu","family":"Qiu","sequence":"first","affiliation":[]},{"given":"Zhen","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yu","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Chen","family":"Xin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4708-2245","authenticated-orcid":false,"given":"Gui-Bin","family":"Bian","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ECMR.2013.6698830"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299124"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1002\/ecj.11776"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CMSP.2011.60"},{"key":"ref31","first-page":"404","article-title":"SURF: Speeded up robust features","volume":"110","author":"bay","year":"2006","journal-title":"Comput Vis Image Understand"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2016.03.014"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2345390"},{"key":"ref36","author":"henriques","year":"2012","journal-title":"Exploiting the Circulant Structure of Tracking-by-Detection with Kernels In ECCV"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.23919\/ChiCC.2017.8029198"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ISCE.2018.8408915"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref62","first-page":"675","article-title":"Caffe: Convolutional architecture for fast feature embedding","author":"yangqing","year":"2014","journal-title":"Proc 22nd ACM Int Conf Multimedia"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1017623"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206737"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1001\/archopht.122.4.487","article-title":"Prevalence of cataract and pseudophakia\/aphakia among adults in the united states","volume":"122","author":"congdon","year":"2004","journal-title":"Arch Ophthalmol"},{"key":"ref1","first-page":"391","year":"1998","journal-title":"The World Health Report Life in the 21st CenturyA Vision for all"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2019.2912404"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2019.2911985"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2019.2947071"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_45"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.4103\/0301-4738.21619"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2001.990517"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.312"},{"key":"ref50","article-title":"Eye tracking for the iPhone using deep learning","author":"kannan","year":"2017"},{"key":"ref51","first-page":"806","article-title":"PupilNet: Convolutional neural networks for robust pupil detection","volume":"19","author":"wolfgang","year":"2016","journal-title":"Revista De Odontologia Da Unesp"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref58","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref57","first-page":"1949","article-title":"The visual object tracking VOT2014 challenge results","author":"hadfield","year":"2014","journal-title":"Proc IEEE Int Conf Comput Vis Workshops"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.239"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00213"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/JTEHM.2018.2795022"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2945362"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-018-03971-3"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.4103\/0972-9941.195565"},{"key":"ref11","first-page":"21","article-title":"Advanced applications of robotics in digestive surgery","volume":"1","author":"alberto","year":"2011","journal-title":"J Transl Med"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.352"},{"key":"ref12","first-page":"12","article-title":"Cost and robotic surgery in gynecology","volume":"40","author":"knight","year":"2014","journal-title":"Journal of Obstetrics & Gynaecology"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1017\/S0263574709990634"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.21037\/acs.2017.01.02"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s11071-019-05170-8"},{"key":"ref16","first-page":"1","article-title":"A self-propelled robotic system with a visco-elastic joint: Dynamics and motion analysis","author":"liu","year":"2019","journal-title":"Eng Comput"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s12555-017-0192-7"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32254-0_7"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968153"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/S0161-6420(97)30266-8"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.7189\/jogh.08.010804"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2953289"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.01.032"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1167\/tvst.4.1.9"},{"key":"ref7","article-title":"First human test of robotic eye surgery a success","author":"maclaren","year":"2018"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/1439312"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1136\/pgmj.2006.048140"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.001.1900260"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2874767"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2374218"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2567393"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00937"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.531"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_30"},{"key":"ref43","author":"martin","year":"2016","journal-title":"Beyond correlation filters Learning continuous convolution operators for visual tracking"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09032195.pdf?arnumber=9032195","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T01:09:14Z","timestamp":1641949754000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9032195\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2980005","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}