{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:40:05Z","timestamp":1750297205439,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":12,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,11,8]],"date-time":"2024-11-08T00:00:00Z","timestamp":1731024000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U23A20484"],"award-info":[{"award-number":["U23A20484"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,11,8]]},"DOI":"10.1145\/3707127.3707136","type":"proceedings-article","created":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T12:34:06Z","timestamp":1738845246000},"page":"53-59","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Automatic aortic root morphology assessment algorithm for Transcatheter Aortic Valve Implantation planning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-7627-5192","authenticated-orcid":false,"given":"XinPing","family":"Yan","sequence":"first","affiliation":[{"name":"Beijing Institute of Technology, BeiJing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1336-1249","authenticated-orcid":false,"given":"XuYang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology, BeiJing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8798-1707","authenticated-orcid":false,"given":"Min","family":"Jin","sequence":"additional","affiliation":[{"name":"Affiliated Drum Tower Hospital, Medical School of Nanjing University, NanJing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8536-4541","authenticated-orcid":false,"given":"ShuaiTong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology, BeiJing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5706-4369","authenticated-orcid":false,"given":"DuanDuan","family":"Chen","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology, BeiJing, China"}]}],"member":"320","published-online":{"date-parts":[[2025,2,6]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","unstructured":"Philipp Blanke Jonathan\u00a0R. Weir-McCall Stephan Achenbach Victoria Delgado J\u00f6rg Hausleiter Hasan Jilaihawi Mohamed Marwan Bjarne\u00a0L. Norgaard Niccolo Piazza Paul Schoenhagen and Jonathon\u00a0A. Leipsic. 2019. Computed tomography imaging in the context of transcatheter aortic valve implantation (TAVI) \/ transcatheter aortic valve replacement (TAVR): An expert consensus document of the Society of Cardiovascular Computed Tomography. Journal of Cardiovascular Computed Tomography 13 1 (Jan. 2019) 1\u201320. 10.1016\/j.jcct.2018.11.008","DOI":"10.1016\/j.jcct.2018.11.008"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","unstructured":"Robert\u00a0O. Bonow Blase\u00a0A. Carabello Kanu Chatterjee Antonio\u00a0C. De\u00a0Leon David\u00a0P. Faxon Michael\u00a0D. Freed William\u00a0H. Gaasch Bruce\u00a0Whitney Lytle Rick\u00a0A. Nishimura Patrick\u00a0T. O\u2019Gara Robert\u00a0A. O\u2019Rourke Catherine\u00a0M. Otto Pravin\u00a0M. Shah and Jack\u00a0S. Shanewise. 2006. ACC\/AHA 2006 Guidelines for the Management of Patients With Valvular Heart Disease: A Report of the American College of Cardiology\/American Heart Association Task Force on Practice Guidelines (Writing Committee to Revise the 1998 Guidelines for the Management of Patients With Valvular Heart Disease): Developed in Collaboration With the Society of Cardiovascular Anesthesiologists : Endorsed by the Society for Cardiovascular Angiography and Interventions and the Society of Thoracic Surgeons. Circulation 114 5 (Aug. 2006). 10.1161\/CIRCULATIONAHA.106.176857","DOI":"10.1161\/CIRCULATIONAHA.106.176857"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","unstructured":"L Dux-Santoy G Teixido-Tura A Ruiz-Munoz L La\u00a0Mura F Valente A Lopez-Sainz L Galian L Gutierrez T Gonzalez-Alujas A Sao-Aviles I Ferreira\u00a0Gonzalez A Evangelista Jf Rodriguez-Palomares and A Guala. 2021. Semi-automatic quantification of aortic root progressive dilation by automatic co-registration of computed tomography angiograms: a preliminary comparison with manual assessment in Marfan patients. European Heart Journal - Cardiovascular Imaging 22 Supplement_1 (Feb. 2021) jeaa356.224. 10.1093\/ehjci\/jeaa356.224","DOI":"10.1093\/ehjci\/jeaa356.224"},{"key":"e_1_3_3_1_5_2","unstructured":"Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2015. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification. http:\/\/arxiv.org\/abs\/1502.01852 arXiv:1502.01852 [cs]."},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","unstructured":"Nina Kr\u00fcger Alexander Meyer Lennart Tautz Markus H\u00fcllebrand Isaac Wamala Marius Pullig Markus Kofler J\u00f6rg Kempfert Simon S\u00fcndermann Volkmar Falk and Anja Hennemuth. 2022. Cascaded neural network-based CT image processing for aortic root analysis. International Journal of Computer Assisted Radiology and Surgery 17 3 (March 2022) 507\u2013519. 10.1007\/s11548-021-02554-3","DOI":"10.1007\/s11548-021-02554-3"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","unstructured":"Florent Lalys Simon Esneault Miguel Castro Lucas Royer Pascal Haigron Vincent Auffret and Jacques Tomasi. 2019. Automatic aortic root segmentation and anatomical landmarks detection for TAVI procedure planning. Minimally Invasive Therapy & Allied Technologies 28 3 (May 2019) 157\u2013164. 10.1080\/13645706.2018.1488734","DOI":"10.1080\/13645706.2018.1488734"},{"key":"e_1_3_3_1_8_2","unstructured":"Jianfeng Liu Huaqin Qin Ziyi Liu Sheng Wang Qiang Zhang and Zhengmin He. 2022. A Density-Based Spatial Clustering of Application with Noise Algorithm and its Empirical Research. Highlights in Science Engineering and Technology (2022). https:\/\/api.semanticscholar.org\/CorpusID:251524501"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","unstructured":"Simone Saitta Francesco Sturla Riccardo Gorla Omar\u00a0A. Oliva Emiliano Votta Francesco Bedogni and Alberto Redaelli. 2023. A CT-based deep learning system for automatic assessment of aortic root morphology for TAVI planning. Computers in Biology and Medicine 163 (Sept. 2023) 107147. 10.1016\/j.compbiomed.2023.107147","DOI":"10.1016\/j.compbiomed.2023.107147"},{"key":"e_1_3_3_1_11_2","unstructured":"Seyed Sadegh\u00a0Mohseni Salehi Deniz Erdogmus and Ali Gholipour. 2017. Tversky loss function for image segmentation using 3D fully convolutional deep networks. arxiv:1706.05721\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/1706.05721"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","unstructured":"Pablo\u00a0G. Tahoces Rafael Varela and Jose\u00a0M. Carreira. 2021. Deep learning method for aortic root detection. Computers in Biology and Medicine 135 (Aug. 2021) 104533. 10.1016\/j.compbiomed.2021.104533","DOI":"10.1016\/j.compbiomed.2021.104533"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"crossref","unstructured":"Thomas\u00a0A Treibel. 2022. Cardiac Computed Tomography: Application in Valvular Heart Disease. Frontiers in Cardiovascular Medicine 9 (2022).","DOI":"10.3389\/fcvm.2022.849540"}],"event":{"name":"ICBBE 2024: 2024 11th International Conference on Biomedical and Bioinformatics Engineering","acronym":"ICBBE 2024","location":"Osaka Japan"},"container-title":["Proceedings of the 2024 11th International Conference on Biomedical and Bioinformatics Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3707127.3707136","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3707127.3707136","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:14Z","timestamp":1750295894000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3707127.3707136"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,8]]},"references-count":12,"alternative-id":["10.1145\/3707127.3707136","10.1145\/3707127"],"URL":"https:\/\/doi.org\/10.1145\/3707127.3707136","relation":{},"subject":[],"published":{"date-parts":[[2024,11,8]]},"assertion":[{"value":"2025-02-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}