{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T19:10:27Z","timestamp":1772305827062,"version":"3.50.1"},"reference-count":18,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2020,4,27]],"date-time":"2020-04-27T00:00:00Z","timestamp":1587945600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,4,27]],"date-time":"2020-04-27T00:00:00Z","timestamp":1587945600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J CARS"],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1007\/s11548-020-02159-2","type":"journal-article","created":{"date-parts":[[2020,4,27]],"date-time":"2020-04-27T16:41:58Z","timestamp":1588005718000},"page":"973-980","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["pix2xray: converting RGB images into X-rays using generative adversarial networks"],"prefix":"10.1007","volume":"15","author":[{"given":"Mustafa","family":"Haiderbhai","sequence":"first","affiliation":[]},{"given":"Sergio","family":"Ledesma","sequence":"additional","affiliation":[]},{"given":"Sing Chun","family":"Lee","sequence":"additional","affiliation":[]},{"given":"Matthias","family":"Seibold","sequence":"additional","affiliation":[]},{"given":"Phillipp","family":"F\u00fcrnstahl","sequence":"additional","affiliation":[]},{"given":"Nassir","family":"Navab","sequence":"additional","affiliation":[]},{"given":"Pascal","family":"Fallavollita","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,4,27]]},"reference":[{"issue":"3","key":"2159_CR1","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1107\/S0021889813007991","volume":"46","author":"E Bergb\u00e4ck Knudsen","year":"2013","unstructured":"Bergb\u00e4ck Knudsen E, Prodi A, Baltser J, Thomsen M, Kj\u00e6r Willendrup P, Sanchez del Rio M, Ferrero C, Farhi E, Haldrup K, Vickery A, Feidenhans\u2019l R, Mortensen K, Friis Poulsen H, Schmidt S, Lefmann K (2013) McXtrace: a Monte Carlo software package for simulating X-ray optics, beamlines and experiments. J Appl Crystallogr 46(3):679\u2013696. https:\/\/doi.org\/10.1107\/S0021889813007991","journal-title":"J Appl Crystallogr"},{"issue":"1","key":"2159_CR2","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/j.nimb.2006.03.009","volume":"248","author":"N Freud","year":"2006","unstructured":"Freud N, Duvauchelle P, L\u00e9tang JM, Babot D (2006) Fast and robust ray casting algorithms for virtual X-ray imaging. Nucl Instrum Methods Phys Res, Sect B 248(1):175\u2013180. https:\/\/doi.org\/10.1016\/j.nimb.2006.03.009","journal-title":"Nucl Instrum Methods Phys Res, Sect B"},{"key":"2159_CR3","unstructured":"Vidal F P, Garnier M, Freud N, L\u00e9tang J M, John N W (2009) Simulation of X-ray attenuation on the GPU. In: Proceedings of theory and practice of computer graphics. 15"},{"issue":"6","key":"2159_CR4","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1007\/s11548-009-0367-1","volume":"4","author":"P-F Villard","year":"2009","unstructured":"Villard P-F, Vidal FP, Hunt C, Bello F, John NW, Johnson S, Gould DA (2009) A prototype percutaneous transhepatic cholangiography training simulator with real-time breathing motion. Int J Comput Assist Radiol Surg 4(6):571\u2013578. https:\/\/doi.org\/10.1007\/s11548-009-0367-1","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"2159_CR5","doi-asserted-by":"publisher","unstructured":"Isola P, Zhu J-Y, Zhou T, Efros A A (2017) Image-to-image translation with conditional adversarial networks (2017) IEEE Conference on computer vision and pattern recognition (CVPR), pp 5967\u20135976. https:\/\/doi.org\/10.1109\/CVPR.2017.632","DOI":"10.1109\/CVPR.2017.632"},{"key":"2159_CR6","unstructured":"Goodfellow, I J, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, Courville A, Bengio Y (2014) Generative adversarial networks. arXiv:1406.2661 [Cs, Stat]"},{"key":"2159_CR7","unstructured":"Mirza M, Osindero S (2014) Conditional generative adversarial nets. arXiv:1411.1784 [Cs, Stat]"},{"key":"2159_CR8","doi-asserted-by":"publisher","unstructured":"Madani A, Moradi M, Karargyris A, Syeda-Mahmood T (2018) Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation. In: 2018 IEEE 15th International symposium on biomedical imaging (ISBI 2018), pp 1038\u20131042. https:\/\/doi.org\/10.1109\/ISBI.2018.8363749","DOI":"10.1109\/ISBI.2018.8363749"},{"key":"2159_CR9","doi-asserted-by":"crossref","unstructured":"Ying X, Guo H, Ma K, Wu J, Weng Z, Zheng Y (2019) X2CT-GAN: reconstructing CT from biplanar X-rays with generative adversarial networks. arXiv:1905.06902 [Cs, Eess]","DOI":"10.1109\/CVPR.2019.01087"},{"issue":"4","key":"2159_CR10","doi-asserted-by":"publisher","first-page":"523","DOI":"10.3233\/XST-17356","volume":"26","author":"Y Sun","year":"2018","unstructured":"Sun Y, Liu X, Cong P, Li L, Zhao Z (2018) Digital radiography image denoising using a generative adversarial network. J X-Ray Sci Technol 26(4):523\u2013534. https:\/\/doi.org\/10.3233\/XST-17356","journal-title":"J X-Ray Sci Technol"},{"key":"2159_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.compmedimag.2015.12.002","volume":"49","author":"FP Vidal","year":"2016","unstructured":"Vidal FP, Villard P-F (2016) Development and validation of real-time simulation of X-ray imaging with respiratory motion. Comput Med Imaging Graph 49:1\u201315. https:\/\/doi.org\/10.1016\/j.compmedimag.2015.12.002","journal-title":"Comput Med Imaging Graph"},{"issue":"5","key":"2159_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2629500","volume":"33","author":"J Tompson","year":"2014","unstructured":"Tompson J, Stein M, Lecun Y, Perlin K (2014) Real-time continuous pose recovery of human hands using convolutional networks. ACM Trans Gr 33(5):1\u201310. https:\/\/doi.org\/10.1145\/2629500","journal-title":"ACM Trans Gr"},{"key":"2159_CR13","doi-asserted-by":"publisher","unstructured":"Wan T-C, Liu M-Y, Zhu J-Y, Tao A, Kautz J, Catanzaro B (2018) High-resolution image synthesis and semantic manipulation with conditional GANs. In: IEEE\/CVF Conference on computer vision and pattern recognition 2018. pp 8798\u20138807. https:\/\/doi.org\/10.1109\/CVPR.2018.00917","DOI":"10.1109\/CVPR.2018.00917"},{"key":"2159_CR14","doi-asserted-by":"crossref","unstructured":"Zhu J-Y, Park T, Isola P, Efros A A (2018) Unpaired image-to-image translation using cycle-consistent adversarial networks. arXiv:1703.10593 [Cs]","DOI":"10.1109\/ICCV.2017.244"},{"key":"2159_CR15","doi-asserted-by":"crossref","unstructured":"He K, Zhang X, Ren S, Sun J (2015) Deep residual learning for image recognition. arXiv:1512.03385 [Cs]","DOI":"10.1109\/CVPR.2016.90"},{"key":"2159_CR16","doi-asserted-by":"crossref","unstructured":"Ronneberger O, Fischer P, Brox, T (2015) U-Net: convolutional networks for biomedical image segmentation. arXiv:1505.04597 [Cs]","DOI":"10.1007\/978-3-319-24574-4_28"},{"issue":"4","key":"2159_CR17","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600\u2013612. https:\/\/doi.org\/10.1109\/TIP.2003.819861","journal-title":"IEEE Trans Image Process"},{"issue":"10","key":"2159_CR18","doi-asserted-by":"publisher","first-page":"1785","DOI":"10.1007\/s11548-019-02022-z","volume":"14","author":"O Tmenova","year":"2019","unstructured":"Tmenova O, Martin R, Duong L (2019) CycleGAN for style transfer in X-ray angiography. Int J Comput Assist Radiol Surg 14(10):1785\u20131794. https:\/\/doi.org\/10.1007\/s11548-019-02022-z","journal-title":"Int J Comput Assist Radiol Surg"}],"container-title":["International Journal of Computer Assisted Radiology and Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-020-02159-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11548-020-02159-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-020-02159-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T00:06:28Z","timestamp":1619481988000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11548-020-02159-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,27]]},"references-count":18,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2020,6]]}},"alternative-id":["2159"],"URL":"https:\/\/doi.org\/10.1007\/s11548-020-02159-2","relation":{},"ISSN":["1861-6410","1861-6429"],"issn-type":[{"value":"1861-6410","type":"print"},{"value":"1861-6429","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,4,27]]},"assertion":[{"value":"16 November 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 April 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 April 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors. Informed consent was obtained from all individual participants included in the study","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Statements"}}]}}