{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T00:03:28Z","timestamp":1759017808173,"version":"3.44.0"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032054784","type":"print"},{"value":"9783032054791","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T00:00:00Z","timestamp":1759017600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T00:00:00Z","timestamp":1759017600000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-05479-1_11","type":"book-chapter","created":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T05:15:51Z","timestamp":1758950151000},"page":"97-106","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automated Constraint-Aware X-ray View Planning for Vascular Interventions Using Preoperative CTA"],"prefix":"10.1007","author":[{"given":"Baochang","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Abdelkader","family":"Saad","sequence":"additional","affiliation":[]},{"given":"Heribert","family":"Schunkert","sequence":"additional","affiliation":[]},{"given":"Nassir","family":"Navab","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,9,28]]},"reference":[{"key":"11_CR1","doi-asserted-by":"crossref","unstructured":"Dijkstra, E.W.: A note on two problems in connexion with graphs. In: Edsger Wybe Dijkstra: His Life, Work, And Legacy, pp. 287\u2013290 (2022)","DOI":"10.1145\/3544585.3544600"},{"key":"11_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":"11_CR3","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1007\/s00270-008-9295-7","volume":"31","author":"R Hinchliffe","year":"2008","unstructured":"Hinchliffe, R., Ivancev, K.: Endovascular aneurysm repair: current and future status. Cardiovasc. Intervent. Radiol. 31, 451\u2013459 (2008)","journal-title":"Cardiovasc. Intervent. Radiol."},{"issue":"2","key":"11_CR4","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"},{"key":"11_CR5","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."},{"key":"11_CR6","unstructured":"Powell, M.J., et\u00a0al.: The bobyqa algorithm for bound constrained optimization without derivatives. Cambridge NA Report NA2009\/06, University of Cambridge, Cambridge 26, 26\u201346 (2009)"},{"key":"11_CR7","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":"11_CR8","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2020.592352","volume":"14","author":"G Tetteh","year":"2020","unstructured":"Tetteh, G., et al.: Deepvesselnet: vessel segmentation, centerline prediction, and bifurcation detection in 3-d angiographic volumes. Front. Neurosci. 14, 592352 (2020)","journal-title":"Front. Neurosci."},{"key":"11_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1007\/978-3-030-00937-3_12","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018","author":"M Unberath","year":"2018","unstructured":"Unberath, M., et al.: DeepDRR \u2013 a catalyst for machine learning in fluoroscopy-guided procedures. In: Frangi, A.F., Schnabel, J.A., Davatzikos, C., Alberola-L\u00f3pez, C., Fichtinger, G. (eds.) MICCAI 2018. LNCS, vol. 11073, pp. 98\u2013106. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00937-3_12"},{"issue":"10","key":"11_CR10","doi-asserted-by":"publisher","first-page":"606","DOI":"10.4330\/wjc.v8.i10.606","volume":"8","author":"V Veulemans","year":"2016","unstructured":"Veulemans, V., et al.: Optimal c-arm angulation during transcatheter aortic valve replacement: accuracy of a rotational c-arm computed tomography based three dimensional heart model. World J. Cardiol. 8(10), 606 (2016)","journal-title":"World J. Cardiol."},{"key":"11_CR11","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"},{"key":"11_CR12","doi-asserted-by":"publisher","unstructured":"Zhang, B., et al.: A patient-specific self-supervised model for automatic x-ray\/ct registration. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 515\u2013524. Springer (2023). https:\/\/doi.org\/10.1007\/978-3-031-43996-4_49","DOI":"10.1007\/978-3-031-43996-4_49"},{"key":"11_CR13","doi-asserted-by":"publisher","unstructured":"Zhang, B., Liu, Y., Liu, S., Schunkert, H., Ghotbi, R., Navab, N.: Automated multi-view planning for endovascular aneurysm repair procedures. In: Clinical Image-Based Procedures (CLIP 2024), LNCS, vol. 15196, pp. 22\u201331. Springer (2024). https:\/\/doi.org\/10.1007\/978-3-031-73083-2_3","DOI":"10.1007\/978-3-031-73083-2_3"}],"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\/978-3-032-05479-1_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T05:15:53Z","timestamp":1758950153000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-05479-1_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,28]]},"ISBN":["9783032054784","9783032054791"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-05479-1_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,28]]},"assertion":[{"value":"28 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that\u00a0are 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":"Daejeon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Democratic People's Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"clip2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/miccai-clip.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}