{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T02:40:11Z","timestamp":1788403211155,"version":"build-2803163510"},"publisher-location":"Berlin, Heidelberg","reference-count":10,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783662565360","type":"print"},{"value":"9783662565377","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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":[[2018]]},"DOI":"10.1007\/978-3-662-56537-7_64","type":"book-chapter","created":{"date-parts":[[2018,2,20]],"date-time":"2018-02-20T13:08:50Z","timestamp":1519132130000},"page":"234-238","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Synthetic Fundus Fluorescein Angiography using Deep Neural Networks"],"prefix":"10.1007","author":[{"given":"Florian","family":"Schiffers","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zekuan","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steve","family":"Arguin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andreas","family":"Maier","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiushi","family":"Ren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,2,21]]},"reference":[{"key":"64_CR1","doi-asserted-by":"crossref","unstructured":"Abr\u00e0moff MD, Garvin MK, Sonka M. Retinal imaging and image analysis. IEEE Rev Biomed Eng. 2010;3:169\u2013208.","DOI":"10.1109\/RBME.2010.2084567"},{"key":"64_CR2","doi-asserted-by":"crossref","unstructured":"Shoughy SS, Kozak I. Selective and complementary use of Optical Coherence Tomography and Fluorescein Angiography in retinal practice. Eye and Vision. 2016;3(1):26.","DOI":"10.1186\/s40662-016-0058-2"},{"key":"64_CR3","doi-asserted-by":"crossref","unstructured":"Musa F, Muen W, Hancock R, et al. Adverse effects of fluorescein angiography in hypertensive and elderly patients. Acta Ophthalmologica. 2006;84(6).","DOI":"10.1111\/j.1600-0420.2006.00728.x"},{"key":"64_CR4","doi-asserted-by":"crossref","unstructured":"Nie D, Cao X, Gao Y, et al.; Springer. Estimating CT image from MRI data using 3D fully convolutional networks. International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis; p. 170\u2013178.","DOI":"10.1007\/978-3-319-46976-8_18"},{"key":"64_CR5","unstructured":"Wolterink JM, Dinkla AM, Savenije MH, et al. Deep MR to CT Synthesis using Unpaired Data. arXiv preprint \n                  arXiv:170801155\n                  \n                ."},{"key":"64_CR6","unstructured":"Costa P, Galdran A, Meyer MI, et al. Towards adversarial retinal image synthesis. \n                  arXiv:170108974\n                  \n                . 2017."},{"key":"64_CR7","unstructured":"Zhu JY, Park T, Isola P, et al. Unpaired image-to-image translation using cycleconsistent adversarial networks. arXiv preprint \n                  arXiv:170310593\n                  \n                ."},{"key":"64_CR8","doi-asserted-by":"crossref","unstructured":"Isola P, Zhu JY, Zhou T, et al. Image-to-image translation with conditional adversarial networks. arXiv preprint \n                  arXiv:161107004\n                  \n                . 2016.","DOI":"10.1109\/CVPR.2017.632"},{"key":"64_CR9","unstructured":"Goodfellow I, Pouget-Abadie J, Mirza M, et al. Generative adversarial nets. Adv neural Inform Process Systems; p. 2672\u20132680."},{"key":"64_CR10","doi-asserted-by":"crossref","unstructured":"Hajeb Mohammad Alipour S, Rabbani H, Akhlaghi MR. Diabetic retinopathy grading by digital curvelet transform. Comput Math method Med. 2012;2012.","DOI":"10.1155\/2012\/761901"}],"container-title":["Informatik aktuell","Bildverarbeitung f\u00fcr die Medizin 2018"],"original-title":[],"language":"de","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-56537-7_64","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,18]],"date-time":"2019-05-18T06:00:00Z","timestamp":1558159200000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-662-56537-7_64"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783662565360","9783662565377"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-56537-7_64","relation":{},"ISSN":["1431-472X"],"issn-type":[{"value":"1431-472X","type":"print"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"21 February 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}