{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,27]],"date-time":"2025-02-27T05:28:25Z","timestamp":1740634105988,"version":"3.38.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,8]],"date-time":"2023-10-08T00:00:00Z","timestamp":1696723200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,8]],"date-time":"2023-10-08T00:00:00Z","timestamp":1696723200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,10,8]]},"DOI":"10.1109\/icip49359.2023.10222546","type":"proceedings-article","created":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T17:58:31Z","timestamp":1694455111000},"page":"1120-1124","source":"Crossref","is-referenced-by-count":0,"title":["Style Transfer Between Microscopy and Magnetic Resonance Imaging Via Generative Adversarial Network in Small Sample Size Settings"],"prefix":"10.1109","author":[{"given":"Monika","family":"Pytlarz","sequence":"first","affiliation":[{"name":"Sano &#x2013; Centre for Computational Personalised Medicine"}]},{"given":"Adrian","family":"Onicas","sequence":"additional","affiliation":[{"name":"Sano &#x2013; Centre for Computational Personalised Medicine"}]},{"given":"Alessandro","family":"Crimi","sequence":"additional","affiliation":[{"name":"Sano &#x2013; Centre for Computational Personalised Medicine"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-69163-z"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref3","first-page":"1","article-title":"Generative Adversarial Networks for MR-CT Deformable Image Registration","author":"Tanner","year":"2018"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacr.2019.05.040"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13617"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363678"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759152"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.73153"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.06.001"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-17204-5"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2006.01.015"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0180540"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref14","article-title":"Are gans created equal? a large-scale study","volume":"31","author":"Lucic","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref15","article-title":"Generative adversarial nets","volume-title":"Advances in Neural Information Processing Systems","volume":"27","author":"Goodfellow","year":"2014"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3158343"},{"key":"ref17","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"Proceedings of the 34th International Conference on Machine Learning","volume":"70","author":"Arjovsky"},{"key":"ref18","article-title":"Improved training of wasserstein gans","volume":"30","author":"Gulrajani","year":"2017","journal-title":"Advances in neural information processing systems"},{"issue":"Nips","key":"ref19","first-page":"6627","article-title":"GANs trained by a two time-scale update rule converge to a local Nash equilibrium","volume":"2017-Decem","author":"Heusel","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"issue":"9","key":"ref21","first-page":"1","article-title":"Creating High-Resolution Microscopic Cross-Section Images of Hardwood Species Using Generative Adversarial Networks","volume":"12","author":"Mollink","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2022.02.018"},{"key":"ref23","article-title":"Informative features for model comparison","volume":"31","author":"Jitkrittum","year":"2018","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1186\/s42400-021-00102-9"},{"key":"ref25","first-page":"8780","article-title":"Diffusion models beat gans on image synthesis","volume":"34","author":"Dhariwal","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2015.01.061"}],"event":{"name":"2023 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2023,10,8]]},"location":"Kuala Lumpur, Malaysia","end":{"date-parts":[[2023,10,11]]}},"container-title":["2023 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10221937\/10221892\/10222546.pdf?arnumber=10222546","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T18:42:12Z","timestamp":1740595332000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10222546\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,8]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icip49359.2023.10222546","relation":{},"subject":[],"published":{"date-parts":[[2023,10,8]]}}}