{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T08:13:54Z","timestamp":1758960834293,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031730825"},{"type":"electronic","value":"9783031730832"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-73083-2_3","type":"book-chapter","created":{"date-parts":[[2024,9,28]],"date-time":"2024-09-28T23:02:44Z","timestamp":1727564564000},"page":"22-31","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Automated Multi-View Planning for\u00a0Endovascular Aneurysm Repair Procedures"],"prefix":"10.1007","author":[{"given":"Baochang","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Yiwen","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Shuting","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Heribert","family":"Schunkert","sequence":"additional","affiliation":[]},{"given":"Reza","family":"Ghotbi","sequence":"additional","affiliation":[]},{"given":"Nassir","family":"Navab","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,9,29]]},"reference":[{"key":"3_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1007\/978-3-540-45243-0_31","volume-title":"Pattern Recognition","author":"O Chum","year":"2003","unstructured":"Chum, O., Matas, J., Kittler, J.: Locally optimized RANSAC. In: Michaelis, B., Krell, G. (eds.) DAGM 2003. LNCS, vol. 2781, pp. 236\u2013243. Springer, Heidelberg (2003). https:\/\/doi.org\/10.1007\/978-3-540-45243-0_31"},{"key":"3_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1007\/978-3-319-10470-6_82","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014","author":"P Fallavollita","year":"2014","unstructured":"Fallavollita, P., et al.: Desired-view controlled positioning of angiographic C-arms. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014. LNCS, vol. 8674, pp. 659\u2013666. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10470-6_82"},{"key":"3_CR3","doi-asserted-by":"publisher","first-page":"576","DOI":"10.1007\/s13239-020-00481-z","volume":"11","author":"A Fantazzini","year":"2020","unstructured":"Fantazzini, A., et al.: 3D automatic segmentation of aortic computed tomography angiography combining multi-view 2D convolutional neural networks. Cardiovasc. Eng. Technol. 11, 576\u2013586 (2020)","journal-title":"Cardiovasc. Eng. Technol."},{"key":"3_CR4","doi-asserted-by":"crossref","unstructured":"Geng, Z., Sun, K., Xiao, B., Zhang, Z., Wang, J.: Bottom-up human pose estimation via disentangled keypoint regression. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 14676\u201314686 (2021)","DOI":"10.1109\/CVPR46437.2021.01444"},{"key":"3_CR5","unstructured":"Goroshin, R., Mathieu, M.F., LeCun, Y.: Learning to linearize under uncertainty. Adv. Neural Inf. Process. Syst. 28 (2015)"},{"key":"3_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1007\/978-3-030-59725-2_3","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2020","author":"J He","year":"2020","unstructured":"He, J., et al.: Learning hybrid representations for automatic 3D vessel centerline extraction. In: Martel, A.L., et al. (eds.) MICCAI 2020. LNCS, vol. 12266, pp. 24\u201334. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-59725-2_3"},{"issue":"2","key":"3_CR7","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1038\/s41592-020-01008-z","volume":"18","author":"F Isensee","year":"2021","unstructured":"Isensee, F., Jaeger, P.F., Kohl, S.A., Petersen, J., Maier-Hein, K.H.: nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nat. Methods 18(2), 203\u2013211 (2021)","journal-title":"Nat. Methods"},{"issue":"6","key":"3_CR8","doi-asserted-by":"publisher","first-page":"822","DOI":"10.1177\/15266028221105840","volume":"30","author":"KO Kappe","year":"2023","unstructured":"Kappe, K.O., Smorenburg, S.P., Hoksbergen, A.W., Wolterink, J.M., Yeung, K.K.: Deep learning-based intraoperative stent graft segmentation on completion digital subtraction angiography during endovascular aneurysm repair. J. Endovasc. Ther. 30(6), 822\u2013827 (2023)","journal-title":"J. Endovasc. Ther."},{"key":"3_CR9","doi-asserted-by":"publisher","first-page":"1095","DOI":"10.1007\/s11548-020-02204-0","volume":"15","author":"L Kausch","year":"2020","unstructured":"Kausch, L., et al.: Toward automatic C-arm positioning for standard projections in orthopedic surgery. Int. J. Comput. Assist. Radiol. Surg. 15, 1095\u20131105 (2020)","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"issue":"1","key":"3_CR10","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1109\/TMI.2022.3206142","volume":"42","author":"S Kim","year":"2022","unstructured":"Kim, S., et al.: Deep learning on multiphysical features and hemodynamic modeling for abdominal aortic aneurysm growth prediction. IEEE Trans. Med. Imag. 42(1), 196\u2013208 (2022)","journal-title":"IEEE Trans. Med. Imag."},{"key":"3_CR11","doi-asserted-by":"crossref","unstructured":"Li, J., Su, W., Wang, Z.: Simple pose: rethinking and improving a bottom-up approach for multi-person pose estimation. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a034, pp. 11354\u201311361 (2020)","DOI":"10.1609\/aaai.v34i07.6797"},{"key":"3_CR12","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.cag.2019.09.002","volume":"85","author":"DC Luvizon","year":"2019","unstructured":"Luvizon, D.C., Tabia, H., Picard, D.: Human pose regression by combining indirect part detection and contextual information. Comput. Graph. 85, 15\u201322 (2019)","journal-title":"Comput. Graph."},{"key":"3_CR13","doi-asserted-by":"publisher","first-page":"162629","DOI":"10.1109\/ACCESS.2019.2905345","volume":"7","author":"C Meng","year":"2019","unstructured":"Meng, C., Wang, Q., Guan, S., Sun, K., Liu, B.: 2d\u20133d registration with weighted local mutual information in vascular interventions. IEEE Access 7, 162629\u2013162638 (2019)","journal-title":"IEEE Access"},{"key":"3_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1007\/3-540-45729-1_42","volume-title":"Information Processing in Medical Imaging","author":"K Pal\u00e1gyi","year":"2001","unstructured":"Pal\u00e1gyi, K., et al.: A sequential 3D thinning algorithm and its medical applications. In: Insana, M.F., Leahy, R.M. (eds.) IPMI 2001. LNCS, vol. 2082, pp. 409\u2013415. Springer, Heidelberg (2001). https:\/\/doi.org\/10.1007\/3-540-45729-1_42"},{"issue":"1","key":"3_CR15","first-page":"101","volume":"11","author":"A Ranganathan","year":"2004","unstructured":"Ranganathan, A.: The Levenberg-Marquardt algorithm. Tutoral LM Algorithm 11(1), 101\u2013110 (2004)","journal-title":"Tutoral LM Algorithm"},{"key":"3_CR16","doi-asserted-by":"crossref","unstructured":"Tehlan, K., Winkler, A., Roth, D., Navab, N.: X-ray device positioning with augmented reality visual feedback. In: 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), pp. 870\u2013871. IEEE (2022)","DOI":"10.1109\/VRW55335.2022.00286"},{"key":"3_CR17","doi-asserted-by":"crossref","unstructured":"Timmins, K.M., Van\u00a0der Schaaf, I.C., Vos, I.N., Ruigrok, Y.M., Velthuis, B.K., Kuijf, H.J.: Geometric deep learning using vascular surface meshes for modality-independent unruptured intracranial aneurysm detection. IEEE Trans. Med. Imag. 42(11), 3451\u20133460 (2023)","DOI":"10.1109\/TMI.2023.3288746"},{"key":"3_CR18","series-title":"Informatik aktuell","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1007\/978-3-662-46224-9_11","volume-title":"Bildverarbeitung f\u00fcr die Medizin 2015","author":"S Virga","year":"2015","unstructured":"Virga, S., Dogeanu, V., Fallavollita, P., Ghotbi, R., Navab, N., Demirci, S.: Optimal C-arm positioning for aortic interventions. In: Handels, H., Deserno, T.M., Meinzer, H.P., Tolxdorff, T. (eds.) Bildverarbeitung f\u00fcr die Medizin 2015. I, pp. 53\u201358. Springer, Heidelberg (2015). https:\/\/doi.org\/10.1007\/978-3-662-46224-9_11"},{"issue":"Suppl 1","key":"3_CR19","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1007\/s12262-022-03506-0","volume":"85","author":"Y Wang","year":"2023","unstructured":"Wang, Y., et al.: Deep learning model for predicting the outcome of endovascular abdominal aortic aneurysm repair. Indian J. Surg. 85(Suppl 1), 288\u2013296 (2023)","journal-title":"Indian J. Surg."},{"key":"3_CR20","doi-asserted-by":"crossref","unstructured":"Yao, L., et\u00a0al.: TaG-Net: topology-aware graph network for centerline-based vessel labeling. IEEE Trans. Med. Imag. 42(11), 3155\u20133166 (2023)","DOI":"10.1109\/TMI.2023.3240825"},{"key":"3_CR21","doi-asserted-by":"publisher","unstructured":"Zhang, B., et al.: A patient-specific self-supervised model for automatic X-ray\/CT registration. In: Greenspan, H., et al. (eds.) Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2023. MICCAI 2023. LNCS, vol. 14228. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-43996-4_49","DOI":"10.1007\/978-3-031-43996-4_49"}],"container-title":["Lecture Notes in Computer Science","Clinical Image-Based Procedures"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-73083-2_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,28]],"date-time":"2024-09-28T23:03:11Z","timestamp":1727564591000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-73083-2_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031730825","9783031730832"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-73083-2_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"29 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"CLIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Workshop on Clinical Image-Based Procedures","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Marrakesh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Morocco","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"clip2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}