{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T17:25:19Z","timestamp":1772213119729,"version":"3.50.1"},"publisher-location":"Wiesbaden","reference-count":16,"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_26","type":"book-chapter","created":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T16:49:12Z","timestamp":1740847752000},"page":"119-128","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Preservation of Image Content in Stain-to-stain Translation for Digital Pathology"],"prefix":"10.1007","author":[{"given":"Boqiang","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wissem","family":"Benjeddou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nadine S.","family":"Schaadt","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Johannes","family":"Lotz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Friedrich","family":"Feuerhake","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dorit","family":"Merhof","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,3,2]]},"reference":[{"key":"26_CR1","doi-asserted-by":"crossref","unstructured":"Gadermayr M, Gupta L, Appel V et al. Generative adversarial networks for facilitating stainindependent supervised and unsupervised segmentation: a study on kidney histology. IEEE Trans Med Imaging. 2019;38(10):2293\u2013302.","DOI":"10.1109\/TMI.2019.2899364"},{"key":"26_CR2","doi-asserted-by":"crossref","unstructured":"Haan K de, Zhang Y, Zuckerman JE et al. Deep learning-based transformation of H&E stained tissues into special stains. Nat Commun. 2021;12(4884).","DOI":"10.1038\/s41467-021-25221-2"},{"key":"26_CR3","doi-asserted-by":"crossref","unstructured":"Bouteldja N, Klinkhammer BM, Schlaich T et al. Improving unsupervised stain-to-stain translation using self-supervision and meta-learning. J Pathol Inform. 2022;13(100107).","DOI":"10.1016\/j.jpi.2022.100107"},{"key":"26_CR4","doi-asserted-by":"crossref","unstructured":"Berijanian M, Schaadt NS, Huang B et al. Unsupervised many-to-many stain translation for histological image augmentation to improve classification accuracy. J Pathol Inform. 2023;14(100195).","DOI":"10.1016\/j.jpi.2023.100195"},{"key":"26_CR5","doi-asserted-by":"crossref","unstructured":"Nazeri K, Ng E, Ebrahimi M. Image colorization using generative adversarial networks. Proc AMDO. 2018:85\u201394.","DOI":"10.1007\/978-3-319-94544-6_9"},{"key":"26_CR6","doi-asserted-by":"crossref","unstructured":"Vitoria P, Raad L, Ballester C. ChromaGAN: adversarial picture colorization with semantic class distribution. Proc IEEE CVF WACV. 2020:2445\u201354.","DOI":"10.1109\/WACV45572.2020.9093389"},{"key":"26_CR7","doi-asserted-by":"crossref","unstructured":"Choi Y, Choi M, Kim M et al. StarGAN: unified generative adversarial networks for multidomain image-to-image translation. Proc IEEE CVF CVPR. 2018:8789\u201397.","DOI":"10.1109\/CVPR.2018.00916"},{"key":"26_CR8","doi-asserted-by":"crossref","unstructured":"Zhu JY, Park T, Isola P et al. Unpaired image-to-image translation using cycle-consistent adversarial networks. Proc IEEE ICCV. 2017:2223\u201332.","DOI":"10.1109\/ICCV.2017.244"},{"key":"26_CR9","unstructured":"Cho H, Lim S, Choi G et al. Neural stain-style transfer learning using GAN for histopathological images. Proc ACML. 2017."},{"key":"26_CR10","doi-asserted-by":"crossref","unstructured":"Lin Y, Zeng B, Wang Y et al. Unpaired multi-domain stain transfer for kidney histopathological images. Proc AAAI. 2022:1630\u20137.","DOI":"10.1609\/aaai.v36i2.20054"},{"key":"26_CR11","doi-asserted-by":"crossref","unstructured":"Choi Y, Uh Y, Yoo J et al. StarGAN v2: diverse image synthesis for multiple domains. Proc IEEE CVF CVPR. 2020:8188\u201397.","DOI":"10.1109\/CVPR42600.2020.00821"},{"key":"26_CR12","doi-asserted-by":"crossref","unstructured":"Bentaieb A, Hamarneh G. Adversarial stain transfer for histopathology image analysis. IEEE Trans Med Imaging. 2018;37(3):792\u2013802.","DOI":"10.1109\/TMI.2017.2781228"},{"key":"26_CR13","doi-asserted-by":"crossref","unstructured":"Wang C, Yang G, Papanastasiou G et al. DiCyc: GAN-based deformation invariant crossdomain information fusion for medical image synthesis. Inf Fusion. 2021;67:147\u201360.","DOI":"10.1016\/j.inffus.2020.10.015"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Wagner SJ, Khalili N, Sharma R et al. Structure-preserving multi-domain stain color augmentation using style-transfer with disentangled representations. Proc MICCAI. 2021:257\u2013 66.","DOI":"10.1007\/978-3-030-87237-3_25"},{"key":"26_CR15","doi-asserted-by":"crossref","unstructured":"Liu S, Zhu C, Xu F et al. BCI: breast cancer immunohistochemical image generation through pyramid Pix2pix. Proc IEEE CVF CVPR. 2022:1815\u201324.","DOI":"10.1109\/CVPRW56347.2022.00198"},{"key":"26_CR16","doi-asserted-by":"crossref","unstructured":"Li F, Hu Z, Chen W et al. Adaptive supervised PatchNCE loss for learning H&E-to-IHC stain translation with inconsistent groundtruth image pairs. Proc MICCAI. 2023:632\u201341.","DOI":"10.1007\/978-3-031-43987-2_61"}],"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_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T16:42:52Z","timestamp":1772210572000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-658-47422-5_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783658474218","9783658474225"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-658-47422-5_26","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"}}]}}