{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T15:56:16Z","timestamp":1783526176197,"version":"3.55.0"},"reference-count":67,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1801265"],"award-info":[{"award-number":["U1801265"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62101606"],"award-info":[{"award-number":["62101606"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"ShenzhenScience and Technology Program","award":["GXWD20201231165807008"],"award-info":[{"award-number":["GXWD20201231165807008"]}]},{"name":"ShenzhenScience and Technology Program","award":["20200825113400001"],"award-info":[{"award-number":["20200825113400001"]}]},{"name":"Guangdong Natural Science Funds for Distinguished Young Scholar","award":["2019B151502031"],"award-info":[{"award-number":["2019B151502031"]}]},{"name":"National Youth Talent Support Program","award":["RC2020-01"],"award-info":[{"award-number":["RC2020-01"]}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2022A1515011384"],"award-info":[{"award-number":["2022A1515011384"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Guangdong Natural Science Funds","doi-asserted-by":"publisher","award":["2020B1515120061"],"award-info":[{"award-number":["2020B1515120061"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1109\/tmi.2022.3219126","type":"journal-article","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T22:00:00Z","timestamp":1667512800000},"page":"864-879","source":"Crossref","is-referenced-by-count":50,"title":["Progressive Perception Learning for Main Coronary Segmentation in X-Ray Angiography"],"prefix":"10.1109","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7508-5553","authenticated-orcid":false,"given":"Hongwei","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1576-4439","authenticated-orcid":false,"given":"Zhifan","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6975-7851","authenticated-orcid":false,"given":"Dong","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1825-8416","authenticated-orcid":false,"given":"William Kongto","family":"Hau","sequence":"additional","affiliation":[{"name":"Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3828-0629","authenticated-orcid":false,"given":"Heye","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5772\/20243"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-8183.2009.00491.x"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s12928-020-00653-7"},{"issue":"6","key":"ref4","doi-asserted-by":"crossref","first-page":"1756","DOI":"10.1016\/S0735-1097(99)00126-6","article-title":"ACC\/AHA guidelines for coronary angiography","volume":"33","author":"Scanlon","year":"1999","journal-title":"J. Amer. College Cardiol."},{"issue":"2","key":"ref5","first-page":"219","article-title":"The SYNTAX score: An angiographic tool grading the complexity of coronary artery disease","volume":"1","author":"Sianos","year":"2005","journal-title":"EuroIntervention"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/0002-9149(83)90506-4"},{"key":"ref7","volume-title":"Essentials of Anatomy and Physiology","author":"Scanlon","year":"2018"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S0002-9149(03)00969-X"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2017.02.001"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/0735-1097(89)90337-9"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1001\/jama.284.14.1828"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2017.7821"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1161\/circ.142.suppl_3.14957"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.05.002"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC44109.2020.9175334"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-020-00509-9"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2016.7590784"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8856682"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.09.015"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63830-6_16"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59722-1_75"},{"issue":"47","key":"ref22","first-page":"4014","article-title":"Extraction of coronary artery trees in angiocardiography images","volume":"7","author":"Khaleel","year":"2012","journal-title":"Sci. Res. Essays"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0056195"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3458380.3458383"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2864592"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2017.09.012"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00256"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105897"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.05.005"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87193-2_35"},{"key":"ref31","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Vaswani"},{"key":"ref32","first-page":"15475","article-title":"ResT: An efficient transformer for visual recognition","volume-title":"Proc. Adv. Neural Inform. Process. Syst.","volume":"34","author":"Zhang"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00707"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00531"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00465"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP47243.2019.8966015"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1136\/hrt.2005.063107"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2006.01.015"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/app9245507"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-53254-7"},{"key":"ref42","first-page":"1","article-title":"Major vessel segmentation on X-ray coronary angiography using deep networks with a novel penalty loss function","volume-title":"Proc. Int. Conf. Med. Imag. Deep Learn.-Extended Abstract Track (MIDL)","author":"Yang"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8858344"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-31321-0_23"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.4244\/EIJ-D-20-00570"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2021.100602"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105769"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104667"},{"issue":"2","key":"ref49","first-page":"107","article-title":"Factors influencing the functional significance in intermediate coronary stenosis","volume":"12","author":"Sun","year":"2015","journal-title":"J. Geriatric Cardiol."},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcmg.2010.10.011"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/42.14514"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-97355-8"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.11.017"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1002\/mp.15363"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3017275"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32245-8_50"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66182-7_80"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759498"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102170"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101668"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1161\/hc4501.099316"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2456899"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2021.12.007"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3188728"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/42.796282"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2952939"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICNIDC.2018.8525673"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/10057585\/09937189.pdf?arnumber=9937189","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T16:57:03Z","timestamp":1705942623000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9937189\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3]]},"references-count":67,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2022.3219126","relation":{"is-referenced-by":[{"id-type":"doi","id":"10.1038\/s41597-023-02871-z","asserted-by":"object"}]},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3]]}}}