{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T06:17:43Z","timestamp":1762409863164,"version":"3.40.3"},"publisher-location":"Wiesbaden","reference-count":8,"publisher":"Springer Fachmedien Wiesbaden","isbn-type":[{"type":"print","value":"9783658331979"},{"type":"electronic","value":"9783658331986"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-658-33198-6_4","type":"book-chapter","created":{"date-parts":[[2021,2,26]],"date-time":"2021-02-26T20:03:22Z","timestamp":1614369802000},"page":"4-9","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Learning-based Patch-wise Metal Segmentation with Consistency Check"],"prefix":"10.1007","author":[{"given":"Tristan M.","family":"Gottschalk","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Maier","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Florian","family":"Kordon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bj\u00f6rn W.","family":"Kreher","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,2,27]]},"reference":[{"key":"4_CR1","doi-asserted-by":"crossref","unstructured":"Stille M, Kratz B, M\u00fcller J, et al. Influence of metal segmentation on the quality of metal artifact reduction methods. In: Medical Imaging 2013: Physics of Medical Imaging. vol. 8668. International Society for Optics and Photonics. SPIE; 2013. p. 902\u2013907.","DOI":"10.1117\/12.2006810"},{"key":"4_CR2","doi-asserted-by":"crossref","unstructured":"Meyer E, Raupach R, Lell M, et al. Normalized metal artifact reduction (NMAR) in computed tomography. Med Phys. 2010;37(10):5482\u20135493.","DOI":"10.1118\/1.3484090"},{"key":"4_CR3","doi-asserted-by":"crossref","unstructured":"Meyer E, Raupach R, Lell M, et al. Frequency split metal artifact reduction (FSMAR) in computed tomography. Med Phys. 2012;39(4):1904\u20131916.","DOI":"10.1118\/1.3691902"},{"key":"4_CR4","doi-asserted-by":"crossref","unstructured":"Ronneberger O, Fischer P, Brox T; Springer. U-net: Convolutional networks for biomedical image segmentation. Proc MICCAI. 2015; p. 234\u2013241.","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"4_CR5","doi-asserted-by":"crossref","unstructured":"Yu L, Zhang Z, Li X, et al. Deep sinogram completion with image prior for metal artifact reduction in CT images. IEEE Trans Med Imaging. 2020; p. 1\u20131.","DOI":"10.1109\/TMI.2020.3025064"},{"key":"4_CR6","doi-asserted-by":"publisher","unstructured":"Peng C, Li B, Li M, et al. An irregular metal trace inpainting network for X-ray CT metal artifact reduction. Med Phys. 2020;47(9):4087{4100. Available from: https:\/\/aapm.onlinelibrary.wiley.com\/doi\/abs\/https:\/\/doi.org\/10.1002\/mp.14295.","DOI":"10.1002\/mp.14295"},{"key":"4_CR7","doi-asserted-by":"crossref","unstructured":"Gottschalk TM, Kreher BW, Kunze H, et al. Deep learning based metal inpainting in the projection domain: Initial results. In: Proc MLMIR. Springer; 2019. p. 125\u2013136.","DOI":"10.1007\/978-3-030-33843-5_12"},{"key":"4_CR8","doi-asserted-by":"crossref","unstructured":"Maier A, Steidl S, Christlein V, et al. Medical imaging systems: An introductory guide. vol. 11111. Springer; 2018.","DOI":"10.1007\/978-3-319-96520-8"}],"container-title":["Informatik aktuell","Bildverarbeitung f\u00fcr die Medizin 2021"],"original-title":[],"language":"de","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-658-33198-6_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,26]],"date-time":"2021-02-26T20:07:08Z","timestamp":1614370028000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-658-33198-6_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783658331979","9783658331986"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-658-33198-6_4","relation":{},"ISSN":["1431-472X"],"issn-type":[{"type":"print","value":"1431-472X"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"27 February 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}