{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T11:49:01Z","timestamp":1743076141397,"version":"3.40.3"},"publisher-location":"Wiesbaden","reference-count":9,"publisher":"Springer Fachmedien Wiesbaden","isbn-type":[{"type":"print","value":"9783658292669"},{"type":"electronic","value":"9783658292676"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","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":[[2020]]},"DOI":"10.1007\/978-3-658-29267-6_67","type":"book-chapter","created":{"date-parts":[[2020,2,12]],"date-time":"2020-02-12T20:02:54Z","timestamp":1581537774000},"page":"301-306","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Imitation Learning Network for Fundus Image Registration Using a Divide-And-Conquer Approach"],"prefix":"10.1007","author":[{"given":"Siming","family":"Bayer","sequence":"first","affiliation":[]},{"given":"Xia","family":"Zhong","sequence":"additional","affiliation":[]},{"given":"Weilin","family":"Fu","sequence":"additional","affiliation":[]},{"given":"Nishant","family":"Ravikumar","sequence":"additional","affiliation":[]},{"given":"Andreas","family":"Maier","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,2,12]]},"reference":[{"key":"67_CR1","doi-asserted-by":"crossref","unstructured":"Saha SK, Xiao D, Bhuiyan A, et al. Color fundus image registration techniques and applications for automated analysis of diabetic retinopathy progression: a review. Biomed Signal Process Control. 2019;47:288 \u2013 302.","DOI":"10.1016\/j.bspc.2018.08.034"},{"key":"67_CR2","doi-asserted-by":"crossref","unstructured":"Deng K, Tian J, Zheng J, et al. Retinal fundus image registration via vascular structure graph matching. In: Int J Biomed Imaging; 2010. p. 13.","DOI":"10.1155\/2010\/906067"},{"key":"67_CR3","doi-asserted-by":"crossref","unstructured":"Hernandez-Matas C, Zabulis X, Argyros AA. An experimental evaluation of the accuracy of keypoints-based retinal image registration. In: Proc IEEE EMBS; 2017. p. 377\u2013381.","DOI":"10.1109\/EMBC.2017.8036841"},{"key":"67_CR4","doi-asserted-by":"crossref","unstructured":"Mahapatra D, Antony B, Sedai S, et al. Deformable medical image registration using generative adversarial networks. In: Proc IEEE ISBI; 2018. p. 1449\u20131453.","DOI":"10.1109\/ISBI.2018.8363845"},{"key":"67_CR5","doi-asserted-by":"crossref","unstructured":"Maier A, Schebesch F, Syben C, et al. Precision learning: towards use of known operators in neural networks. In: Proc ICPR; 2018. p. 183\u2013188.","DOI":"10.1109\/ICPR.2018.8545553"},{"key":"67_CR6","doi-asserted-by":"crossref","unstructured":"Zhong X, Bayer S, Ravikumar N, et al. Resolve intraoperative brain shift as imitation game. In: Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation; 2018. p. 129\u2013137.","DOI":"10.1007\/978-3-030-01045-4_15"},{"key":"67_CR7","doi-asserted-by":"crossref","unstructured":"Fu W, Breininger K, Schaert R, et al. A Divide-and-Conquer approach towards understanding deep networks. In: MICCAI; 2019. p. 183\u2013191.","DOI":"10.1007\/978-3-030-32239-7_21"},{"key":"67_CR8","doi-asserted-by":"crossref","unstructured":"Hernandez-Matas C, Zabulis X, Triantafyllou A, et al. FIRE: Fundus Image Registration Dataset. Model Opthalmol. 2017;1:16\u201328.","DOI":"10.35119\/maio.v1i4.42"},{"key":"67_CR9","doi-asserted-by":"crossref","unstructured":"Fu W, Breininger K, Schaffert R, et al. Frangi-Net. In: Proc BVM; 2018. p. 341\u2013346.","DOI":"10.1007\/978-3-662-56537-7_87"}],"container-title":["Informatik aktuell","Bildverarbeitung f\u00fcr die Medizin 2020"],"original-title":[],"language":"de","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-658-29267-6_67","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,15]],"date-time":"2022-10-15T11:04:52Z","timestamp":1665831892000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-658-29267-6_67"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783658292669","9783658292676"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-658-29267-6_67","relation":{},"ISSN":["1431-472X"],"issn-type":[{"type":"print","value":"1431-472X"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"12 February 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}