{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T17:26:48Z","timestamp":1772213208523,"version":"3.50.1"},"publisher-location":"Wiesbaden","reference-count":12,"publisher":"Springer Fachmedien Wiesbaden","isbn-type":[{"value":"9783658474218","type":"print"},{"value":"9783658474225","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-658-47422-5_6","type":"book-chapter","created":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T16:48:32Z","timestamp":1740847712000},"page":"13-18","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Surrogate-based Respiratory Motion Estimation using Physics-enhanced Implicit Neural Representations"],"prefix":"10.1007","author":[{"given":"Jan","family":"Boysen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hristina","family":"Uzunova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan","family":"Ehrhardt","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3499-4328","authenticated-orcid":false,"given":"Heinz","family":"Handels","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,3,2]]},"reference":[{"key":"6_CR1","doi-asserted-by":"crossref","unstructured":"Keall PJ, Mageras GS, Balter JM et al. The management of respiratory motion in radiation oncology report of AAPM Task Group 76. Med Phys. 2006;33(10):3874\u2013900.","DOI":"10.1118\/1.2349696"},{"key":"6_CR2","doi-asserted-by":"crossref","unstructured":"Shirato H, Shimizu S, Kitamura K et al. Organ motion in image-guided radiotherapy: lessons from real-time tumor-tracking radiotherapy. Int J Clin Oncol. 2007;12(1):8\u201316.","DOI":"10.1007\/s10147-006-0633-y"},{"key":"6_CR3","doi-asserted-by":"crossref","unstructured":"McClelland JR, Hawkes DJ, Schaeffter T et al. Respiratory motion models: a review. Med Image Anal. 2013;17(1):19\u201342.","DOI":"10.1016\/j.media.2012.09.005"},{"key":"6_CR4","doi-asserted-by":"crossref","unstructured":"Ehrhardt J, Lorenz C, eds. 4D modeling and estimation of respiratory motion for radiation therapy. (Biological and Medical Physics, Biomedical Engineering). Springer, 2013.","DOI":"10.1007\/978-3-642-36441-9"},{"key":"6_CR5","unstructured":"Wolterink JM, Zwienenberg JC, Brune C. Implicit neural representations for deformable image registration. PMLR. 2022;172:1349\u201359."},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Garzia S, Rygiel P, Dummer S et al. Neural fields for continuous periodic motion estimation in 4D cardiovascular imaging. arXiv: 2407.20728. 2024.","DOI":"10.1007\/978-3-031-87756-8_37"},{"key":"6_CR7","doi-asserted-by":"crossref","unstructured":"Arratia L\u00f3pez P, Mella H, Uribe S et al. WarpPINN: cine-MR image registration with physics-informed neural networks. Med Image Anal. 2023;89:102925.","DOI":"10.1016\/j.media.2023.102925"},{"key":"6_CR8","unstructured":"Raissi M, Perdikaris P, Karniadakis GE. Physics informed deep learning (part I): data-driven solutions of nonlinear partial differential equations. arXiv: 1711.10561. 2017."},{"key":"6_CR9","unstructured":"Sitzmann V, Martel J, Bergman A et al. Implicit neural representations with periodic activation functions. Proc NeurIPS. 2020;33:7462\u201373."},{"key":"6_CR10","doi-asserted-by":"crossref","unstructured":"Lawal ZK, Yassin H, Lai DTC et al. Physics-informed neural network (PINN) evolution and beyond: a systematic literature review and bibliometric analysis. Big Data Cogn Comput. 2022;6(4):140.","DOI":"10.3390\/bdcc6040140"},{"key":"6_CR11","doi-asserted-by":"crossref","unstructured":"Wilms M, Werner R, Ehrhardt J et al. Multivariate regression approaches for surrogatebased diffeomorphic estimation of respiratory motion in radiation therapy. Phys Med Biol. 2014;59(5):1147.","DOI":"10.1088\/0031-9155\/59\/5\/1147"},{"key":"6_CR12","doi-asserted-by":"crossref","unstructured":"Werner R, Schmidt-Richberg A, Handels H et al. Estimation of lung motion fields in 4D CT data by variational non-linear intensity-based registration: a comparison and evaluation study. Phys Med Biol. 2014;59(15):4247.","DOI":"10.1088\/0031-9155\/59\/15\/4247"}],"container-title":["Informatik aktuell","Bildverarbeitung f\u00fcr die Medizin 2025"],"original-title":[],"language":"de","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-658-47422-5_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T16:43:30Z","timestamp":1772210610000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-658-47422-5_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783658474218","9783658474225"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-658-47422-5_6","relation":{},"ISSN":["1431-472X","2628-8958"],"issn-type":[{"value":"1431-472X","type":"print"},{"value":"2628-8958","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"2 March 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BVM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"BVM Workshop","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Regensburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Deutschland","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":"9 March 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 March 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bvm2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.bvm-conf.org\/de\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}