{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:22:18Z","timestamp":1750220538686,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T00:00:00Z","timestamp":1619136000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Key Technology Research and Development Program of the National Ministry of Science award number(s)","award":["2018ZX10734-401"],"award-info":[{"award-number":["2018ZX10734-401"]}]},{"name":"National Science Foundation Program of China award number(s)","award":["62071048;61901031"],"award-info":[{"award-number":["62071048;61901031"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,4,23]]},"DOI":"10.1145\/3467707.3467721","type":"proceedings-article","created":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T16:06:53Z","timestamp":1632499613000},"page":"99-105","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Stenosis Detection of X-Ray Coronary Angiographic Image Sequence"],"prefix":"10.1145","author":[{"given":"Kun","family":"Pang","sequence":"first","affiliation":[{"name":"Beijing Institute of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Chen","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danni","family":"Ai","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Yang","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,9,24]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2941659"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2892072"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2004.1403515"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2014.6868115"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICETT.2016.7873727"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Tao Wan Hongxiang Feng Chao Tong Deyu Li Zengchang Qin. 2018. Automated Identification and Grading of Coronary Artery Stenoses with X-ray Angiography. Computer Methods and Programs in Biomedicine . https:\/\/doi.org\/10.1016\/j.cmpb.2018.10.013  Tao Wan Hongxiang Feng Chao Tong Deyu Li Zengchang Qin. 2018. Automated Identification and Grading of Coronary Artery Stenoses with X-ray Angiography. Computer Methods and Programs in Biomedicine . https:\/\/doi.org\/10.1016\/j.cmpb.2018.10.013","DOI":"10.1016\/j.cmpb.2018.10.013"},{"volume-title":"Real-time Lesion Detection of Cardiac Coronary Artery Using Deep Neural Networks. In 2018 International Conference on Network Infrastructure and Digital Content (IC-NIDC), 150-154","year":"2018","author":"Du Tianming","key":"e_1_3_2_1_7_1"},{"key":"e_1_3_2_1_8_1","first-page":"91","volume-title":"Advances in neural information processing systems","author":"Ren Shaoqing","year":"2016"},{"volume-title":"Automated Stenosis Detection and Classification in X-ray Angiography Using Deep Neural Network. In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 1301-1308","year":"2019","author":"Cong Chao","key":"e_1_3_2_1_9_1"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2892986"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2903883"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.441"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00712"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.330"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_33"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_30"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00753"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Yihong Chen Yue Cao Han Hu Liwei Wang. 2020. Memory Enhanced Global-Local Aggregation for Video Object Detection.. https:\/\/doi.org\/10.1109\/cvpr42600.2020.01035  Yihong Chen Yue Cao Han Hu Liwei Wang. 2020. Memory Enhanced Global-Local Aggregation for Video Object Detection.. https:\/\/doi.org\/10.1109\/cvpr42600.2020.01035","DOI":"10.1109\/CVPR42600.2020.01035"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3017275"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.103657"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Hongkai Zhang Hong Chang Bingpeng Ma Naiyan Wang Xilin Chen. 2020. Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training. arXiv preprint arXiv:2004.06002 . https:\/\/doi.org\/10.1007\/978-3-030-58555-6_16  Hongkai Zhang Hong Chang Bingpeng Ma Naiyan Wang Xilin Chen. 2020. Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training. arXiv preprint arXiv:2004.06002 . https:\/\/doi.org\/10.1007\/978-3-030-58555-6_16","DOI":"10.1007\/978-3-030-58555-6_16"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00644"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00308"}],"event":{"name":"ICCAI '21: 2021 7th International Conference on Computing and Artificial Intelligence","acronym":"ICCAI '21","location":"Tianjin China"},"container-title":["2021 7th International Conference on Computing and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3467707.3467721","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3467707.3467721","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:25:07Z","timestamp":1750195507000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3467707.3467721"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,23]]},"references-count":24,"alternative-id":["10.1145\/3467707.3467721","10.1145\/3467707"],"URL":"https:\/\/doi.org\/10.1145\/3467707.3467721","relation":{},"subject":[],"published":{"date-parts":[[2021,4,23]]},"assertion":[{"value":"2021-09-24","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}