{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T15:28:42Z","timestamp":1772724522833,"version":"3.50.1"},"publisher-location":"Wiesbaden","reference-count":11,"publisher":"Springer Fachmedien Wiesbaden","isbn-type":[{"value":"9783658440367","type":"print"},{"value":"9783658440374","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-658-44037-4_27","type":"book-chapter","created":{"date-parts":[[2024,2,19]],"date-time":"2024-02-19T08:02:45Z","timestamp":1708329765000},"page":"88-93","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Effect of Training Epoch Number on Patient Data Memorization in Unconditional Latent Diffusion Models"],"prefix":"10.1007","author":[{"given":"Salman U. Hassan","family":"Dar","sequence":"first","affiliation":[]},{"given":"Isabelle","family":"Ayx","sequence":"additional","affiliation":[]},{"given":"Marie","family":"Kapusta","sequence":"additional","affiliation":[]},{"given":"Theano","family":"Papavassiliu","sequence":"additional","affiliation":[]},{"given":"Stefan O.","family":"Schoenberg","sequence":"additional","affiliation":[]},{"given":"Sandy","family":"Engelhardt","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,2,20]]},"reference":[{"key":"27_CR1","doi-asserted-by":"crossref","unstructured":"Pinaya WHL, Tudosiu PD, Dafflon J, Da Costa PF, Fernandez V, Nachev P et al. Brain imaging generation with latent diffusion models. Deep Generative Models. Cham: Springer Nature Switzerland, 2022:117\u201326.","DOI":"10.1007\/978-3-031-18576-2_12"},{"key":"27_CR2","unstructured":"Hamamci IE, Er S, Simsar E, Tezcan A, Simsek AG, Almas F et al. GenerateCT: text-guided 3D chest CT generation. arXiv preprint arXiv:2305.16037. 2023."},{"key":"27_CR3","unstructured":"Pinaya WH, Graham MS, Kerfoot E, Tudosiu PD, Dafflon J, Fernandez V et al. Generative ai for medical imaging: extending the monai framework. arXiv preprint arXiv:2307.15208. 2023."},{"key":"27_CR4","doi-asserted-by":"crossref","unstructured":"Khader F, M\u00fcller-Franzes G, Tayebi Arasteh S, Han T, Haarburger C, Schulze-Hagen M et al. Denoising diffusion probabilistic models for 3D medical image generation. Sci Rep. 2023;13(1):7303.","DOI":"10.1038\/s41598-023-34341-2"},{"key":"27_CR5","doi-asserted-by":"crossref","unstructured":"Dar SUH, Ghanaat A, Kahmann J, Ayx I, Papavassiliou T, Schoenberg SO et al. Investigating data memorization in 3d latent diffusion models for medical image synthesis. arXiv preprint arXiv:2307.01148. 2023.","DOI":"10.1007\/978-3-031-53767-7_6"},{"key":"27_CR6","doi-asserted-by":"crossref","unstructured":"Akbar MU, Wang W, Eklund A. Beware of diffusion models for synthesizing medical images: a comparison with GANs in terms of memorizing brain tumor images. arXiv preprint arXiv:2305.07644. 2023.","DOI":"10.2139\/ssrn.4611613"},{"key":"27_CR7","doi-asserted-by":"crossref","unstructured":"Fernandez V, Sanchez P, Pinaya WHL, Jacenk\u00f3w G, Tsaftaris SA, Cardoso J. Privacy distillation: reducing re-identification risk of multimodal diffusion models. arXiv preprint arXiv:2306.01322. 2023.","DOI":"10.1007\/978-3-031-53767-7_1"},{"key":"27_CR8","unstructured":"Chen T, Kornblith S, Norouzi M, Hinton G. A simple framework for contrastive learning of visual representations. Proceedings of the 37th International Conference on Machine Learning. Ed. by III HD, Singh A.Vol. 119. (Proc Mach LearnResearch). PMLR, 2020:1597\u2013 607."},{"key":"27_CR9","doi-asserted-by":"crossref","unstructured":"Wang X, Peng Y, Lu L, Lu Z, Bagheri M, Summers RM. ChestX-ray8: hospital-scale chest Xray database and benchmarks onweakly-supervised classification and localization of common thorax diseases. Proc IEEE. 2017.","DOI":"10.1109\/CVPR.2017.369"},{"key":"27_CR10","doi-asserted-by":"crossref","unstructured":"Packh\u00e4user K, G\u00fcndel S, M\u00fcnster N, Syben C, Christlein V, Maier A. Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data. Sci Rep. 2022;12(1):14851.","DOI":"10.1038\/s41598-022-19045-3"},{"key":"27_CR11","unstructured":"Cohen JP,Viviano JD, Bertin P, Morrison P, Torabian P, GuarreraMet al. TorchXRayVision: a library of chest X-ray datasets and models. Proc IEEE. 2022."}],"container-title":["Informatik aktuell","Bildverarbeitung f\u00fcr die Medizin 2024"],"original-title":[],"language":"de","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-658-44037-4_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,11]],"date-time":"2024-11-11T20:11:05Z","timestamp":1731355865000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-658-44037-4_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783658440367","9783658440374"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-658-44037-4_27","relation":{},"ISSN":["1431-472X","2628-8958"],"issn-type":[{"value":"1431-472X","type":"print"},{"value":"2628-8958","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"20 February 2024","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":"Erlangen","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 March 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 March 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bvm2024a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.bvm-workshop.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}