{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T16:41:43Z","timestamp":1783788103157,"version":"3.55.0"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFE0209800"],"award-info":[{"award-number":["2022YFE0209800"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Science and Technology Program","award":["GJHZ20220913142601003"],"award-info":[{"award-number":["GJHZ20220913142601003"]}]},{"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"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62276282"],"award-info":[{"award-number":["62276282"]}],"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":["62101610"],"award-info":[{"award-number":["62101610"]}],"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":["62325113"],"award-info":[{"award-number":["62325113"]}],"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":["62271511"],"award-info":[{"award-number":["62271511"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2024B1515020062"],"award-info":[{"award-number":["2024B1515020062"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"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"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tmi.2024.3412935","type":"journal-article","created":{"date-parts":[[2024,6,11]],"date-time":"2024-06-11T18:29:32Z","timestamp":1718130572000},"page":"4091-4104","source":"Crossref","is-referenced-by-count":5,"title":["Constraint-Aware Learning for Fractional Flow Reserve Pullback Curve Estimation From Invasive Coronary Imaging"],"prefix":"10.1109","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6975-7851","authenticated-orcid":false,"given":"Dong","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Biomedical Engineering, Anhui Medical University, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6198-2453","authenticated-orcid":false,"given":"Xiujian","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anbang","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7508-5553","authenticated-orcid":false,"given":"Hongwei","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\/0000-0001-7344-7733","authenticated-orcid":false,"given":"Guang","family":"Yang","sequence":"additional","affiliation":[{"name":"Cardiovascular Research Centre, Royal Brompton Hospital, London, U.K."}],"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"}]},{"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"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2019.07.072"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcin.2020.06.062"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3389\/fcvm.2021.623841"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM199606273342604"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2016.05.067"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa0807611"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ahj.2013.08.016"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa2201546"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCINTERVENTIONS.120.009840"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1114\/1.1349703"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S0045-7825(01)00302-4"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1152\/japplphysiol.00752.2015"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.11.017"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2015.08.014"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.5603\/CJ.2020.0080"},{"key":"ref16","first-page":"1746","article-title":"Automated synthetic-to-real generalization","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen"},{"key":"ref17","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Ho"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1136\/heartjnl-2015-308044"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcin.2014.03.004"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCINTERVENTIONS.116.003613"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcin.2016.07.013"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.4244\/EIJ-D-19-00182"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2012.11.083"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1161\/JAHA.119.015586"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1161\/JAHA.118.011685"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.atherosclerosis.2019.10.022"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/app12146964"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2953054"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00333"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3206025.3206080"},{"key":"ref31","first-page":"1","article-title":"CARLA: An open urban driving simulator","volume-title":"Proc. Conf. Robot Learn.","author":"Dosovitskiy"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00945"},{"key":"ref33","first-page":"8162","article-title":"Improved denoising diffusion probabilistic models","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Nichol"},{"key":"ref34","first-page":"1","article-title":"DiffWave: A versatile diffusion model for audio synthesis","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kong"},{"key":"ref35","first-page":"804","article-title":"CSDI: Conditional score-based diffusion models for probabilistic time series imputation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Tashiro"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1475"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.135"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-010-0331-0"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3079836"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-021-00420-0"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(89)90020-8"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01410"},{"key":"ref44","volume-title":"Resizeright","author":"Shocher","year":"2018"},{"key":"ref45","first-page":"1","article-title":"OpenFOAM: A C++ library for complex physics simulations","volume-title":"Proc. International Workshop Coupled Methods Numer. Dyn.","volume":"1000","author":"Jasak"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3219126"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2408633"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2952939"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s10554-018-1506-y"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/357994.358023"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.bpj.2008.09.039"},{"key":"ref52","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"Bai","year":"2018","journal-title":"arXiv:1803.01271"},{"key":"ref53","first-page":"125","article-title":"WaveNet: A generative model for raw audio","volume-title":"Proc. 9th ISCA Workshop Speech Synth. Workshop","author":"Oord"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467330"},{"key":"ref55","first-page":"1","article-title":"TENT: Fully test-time adaptation by entropy minimization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Wang"},{"key":"ref56","first-page":"1","article-title":"Test time adaptation through perturbation robustness","volume-title":"Proc. NIPS","author":"Fleuret"},{"key":"ref57","first-page":"38629","article-title":"MEMO: Test time robustness via adaptation and augmentation","volume-title":"Proc. NIPS","author":"Zhang"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00706"},{"key":"ref59","first-page":"58","article-title":"On pitfalls of test-time adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhao"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-00296-0_5"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1038\/s42003-020-01638-1"},{"issue":"2","key":"ref62","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5121\/ijdkp.2015.5201","article-title":"A review on evaluation metrics for data classification evaluations","volume":"5","author":"Hossin","year":"2015","journal-title":"Int. J. Data Mining Knowl. Manag. Process"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/42\/10772323\/10553327.pdf?arnumber=10553327","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T19:00:29Z","timestamp":1733252429000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10553327\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":62,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2024.3412935","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12]]}}}