{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T00:54:03Z","timestamp":1772931243871,"version":"3.50.1"},"reference-count":71,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Shenzhen Municipal Central Government Guides Local Science and Technology Development Special Funded Projects","award":["2021Szvup139"],"award-info":[{"award-number":["2021Szvup139"]}]},{"DOI":"10.13039\/501100005950","name":"Hong Kong University of Science and Technology (HKUST)- Beijing Institute of Collaborative Innovation (BICI) Exploratory Fund","doi-asserted-by":"publisher","award":["HCIC-004"],"award-info":[{"award-number":["HCIC-004"]}],"id":[{"id":"10.13039\/501100005950","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002920","name":"Research Grants Council of the Hong Kong Special Administrative Region, China","doi-asserted-by":"publisher","award":["T45-401\/22-N"],"award-info":[{"award-number":["T45-401\/22-N"]}],"id":[{"id":"10.13039\/501100002920","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1109\/tmi.2023.3242980","type":"journal-article","created":{"date-parts":[[2023,2,14]],"date-time":"2023-02-14T19:01:12Z","timestamp":1676401272000},"page":"1897-1910","source":"Crossref","is-referenced-by-count":19,"title":["Less Is More: Surgical Phase Recognition From Timestamp Supervision"],"prefix":"10.1109","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7653-1199","authenticated-orcid":false,"given":"Xinpeng","family":"Ding","sequence":"first","affiliation":[{"name":"Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, SAR, China"}]},{"given":"Xinjian","family":"Yan","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3078-9853","authenticated-orcid":false,"given":"Zixun","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, SAR, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6182-4746","authenticated-orcid":false,"given":"Wei","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Physics, Beihang University, Beijing, China"}]},{"given":"Jian","family":"Zhuang","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Surgery, Guangdong Provincial People&#x2019;s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1046-6379","authenticated-orcid":false,"given":"Xiaowei","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Surgery, Guangdong Provincial People&#x2019;s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1105-8083","authenticated-orcid":false,"given":"Xiaomeng","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, SAR, China"}]}],"member":"263","reference":[{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-17876-z"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87202-1_57"},{"key":"ref56","article-title":"Uncertainty quantification in computer-aided diagnosis: Make your model say &#x2018;I don&#x2019;t know&#x2019; for ambiguous cases","author":"laves","year":"2019","journal-title":"arXiv 1908 00792"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3182995"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00369"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101572"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.01.103"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00826"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16452-1_11"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2020.00282"},{"key":"ref55","first-page":"3483","article-title":"Learning structured output representation using deep conditional generative models","volume":"28","author":"sohn","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref54","article-title":"Auto-encoding variational Bayes","author":"kingma","year":"2013","journal-title":"arXiv 1312 6114"},{"key":"ref10","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2011.2181168"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15711-0_50"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32254-0_52"},{"key":"ref18","first-page":"2348","article-title":"Practical variational inference for neural networks","volume":"24","author":"graves","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66182-7_70"},{"key":"ref50","first-page":"6405","article-title":"Simple and scalable predictive uncertainty estimation using deep ensembles","volume":"30","author":"lakshminarayanan","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01015"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_27"},{"key":"ref48","article-title":"What uncertainties do we need in Bayesian deep learning for computer vision?","author":"kendall","year":"2017","journal-title":"arXiv 1703 04977"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_25"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_9"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_41"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00627"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00634"},{"key":"ref49","first-page":"1050","article-title":"Dropout as a Bayesian approximation: Representing model uncertainty in deep learning","author":"gal","year":"2016","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00940"},{"key":"ref7","first-page":"1761","article-title":"Real-time identification of operating room state from video","volume":"2","author":"bhatia","year":"2007","journal-title":"Proc AAAI"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3069471"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2787657"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2006.01.003"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2593957"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01137"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.678"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.381"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_35"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00706"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32254-0_51"},{"key":"ref30","article-title":"Less is more: Surgical phase recognition with less annotations through self-supervised pre-training of CNN-LSTM networks","author":"yengera","year":"2018","journal-title":"arXiv 1805 08569"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102158"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-020-02198-9"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eururo.2015.09.021"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-017-0132-7"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3099407"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-88004-0_4"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2020.0772"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2018.01.004"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2995319"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1515\/cdbme-2020-0037"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2009.2013851"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16449-1_35"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87202-1_58"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59725-2_43"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59716-0_33"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2016.2647680"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32254-0_50"},{"key":"ref63","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2806309"},{"key":"ref22","first-page":"855","article-title":"SWNet: Surgical workflow recognition with deep convolutional network","author":"zhang","year":"2021","journal-title":"Proc 4th Conf Med Imag With Deep Learn"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2845918"},{"key":"ref21","article-title":"Not end-to-end: Explore multi-stage architecture for online surgical phase recognition","author":"yi","year":"2021","journal-title":"arXiv 2107 04810"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20217"},{"key":"ref27","article-title":"Cyclical self-supervision for semi-supervised ejection fraction prediction from echocardiogram videos","author":"dai","year":"2022","journal-title":"IEEE Trans Med Imag"},{"key":"ref29","article-title":"Learning from a tiny dataset of manual annotations: A teacher\/student approach for surgical phase recognition","author":"yu","year":"2018","journal-title":"arXiv 1812 00033"},{"key":"ref60","article-title":"Single- and multi-task architectures for surgical workflow challenge at M2CAI 2016","author":"twinanda","year":"2016","journal-title":"arXiv 1610 08844"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref61","article-title":"MICCAI modeling and monitoring of computer assisted interventions challenge","author":"twinanda","year":"2016","journal-title":"Medical Image Computing and Computer Assisted Intervention&#x2014;MICCAI 2016"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/10142147\/10043791.pdf?arnumber=10043791","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T18:06:00Z","timestamp":1687197960000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10043791\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6]]},"references-count":71,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2023.3242980","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6]]}}}