{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T10:56:15Z","timestamp":1761562575664,"version":"3.44.0"},"reference-count":56,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"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":[[2019,6]]},"DOI":"10.1109\/ichi.2019.8904763","type":"proceedings-article","created":{"date-parts":[[2019,11,25]],"date-time":"2019-11-25T14:38:04Z","timestamp":1574692684000},"page":"1-11","source":"Crossref","is-referenced-by-count":20,"title":["GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement"],"prefix":"10.1109","author":[{"given":"Gongbo","family":"Liang","sequence":"first","affiliation":[{"name":"Institute for Biomedical Informatics, University of Kentucky, USA,Lexington,KY,USA"}]},{"given":"Sajjad","family":"Fouladvand","sequence":"additional","affiliation":[{"name":"Institute for Biomedical Informatics, University of Kentucky, USA,Lexington,KY,USA"}]},{"given":"Jie","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Kentucky,Department of Radiology,Lexington,KY,USA"}]},{"given":"Michael A.","family":"Brooks","sequence":"additional","affiliation":[{"name":"University of Kentucky,Department of Radiology,Lexington,KY,USA"}]},{"given":"Nathan","family":"Jacobs","sequence":"additional","affiliation":[{"name":"University of Kentucky,Department of Computer Science,Lexington,KY,USA"}]},{"given":"Jin","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute for Biomedical Informatics, University of Kentucky, USA,Lexington,KY,USA"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref38","first-page":"1857","article-title":"Learning to discover cross-domain relations with generative adversarial networks","volume":"70","author":"kim","year":"2017","journal-title":"Proceedings of the 34th International Conference on Machine Learning"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.5005\/jp\/books\/12361"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2014.07.020"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1001\/jamaoncol.2016.2631"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12309"},{"key":"ref37","article-title":"Energy-based generative adversarial network","author":"zhao","year":"2016","journal-title":"arXiv preprint arXiv 1609 09861"},{"key":"ref36","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2015","journal-title":"arXiv preprint arXiv 1511 06434"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1038\/nature21056"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1148\/rg.266065063"},{"key":"ref28","first-page":"63","article-title":"Esrgan: Enhanced super-resolution generative adversarial networks","author":"wang","year":"2018","journal-title":"European Conference on Computer Vision"},{"key":"ref27","article-title":"Learning to generate images of outdoor scenes from attributes and semantic layouts","author":"karacan","year":"2016","journal-title":"arXiv preprint arXiv 1612 00215"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2014.03.009"},{"key":"ref2","volume":"1","author":"beutel","year":"2000","journal-title":"Handbook of Medical Imaging Physics and Psychophysics"},{"journal-title":"Medical Imaging Signals and Systems","year":"2006","author":"prince","key":"ref1"},{"journal-title":"Fundamentals of Digital Image Processing","year":"1989","author":"jain","key":"ref20"},{"key":"ref22","article-title":"Conditional generative adversarial nets","author":"mirza","year":"2014","journal-title":"arXiv 1411 1784"},{"key":"ref21","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in Neural Information Processing Systems 27"},{"key":"ref24","first-page":"658","article-title":"Generating images with perceptual similarity metrics based on deep networks","author":"dosovitskiy","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref26","first-page":"517","article-title":"Pixel-level domain transfer","author":"donggeun yoo","year":"2016","journal-title":"Computer Vision-ECCV 2016"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.272"},{"key":"ref50","first-page":"1486","article-title":"Deep generative image models using a laplacian pyramid of adversarial networks","volume":"1","author":"denton","year":"2015","journal-title":"NIPS’15 Proceedings of the 28th International Conference on Neural Information Processing Systems"},{"key":"ref51","first-page":"2234","article-title":"Improved techniques for training gans","author":"tim salimans","year":"2016","journal-title":"NIPS’16 Proceedings of the 30th International Conference on Neural Information Processing Systems"},{"key":"ref56","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv preprint arXiv 1502 03167"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.110.607861"},{"key":"ref54","article-title":"Improved training of wasserstein gans","author":"gulrajani","year":"2017","journal-title":"arXiv 1704 00028"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1177\/096228020301200205"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.2307\/2333009"},{"key":"ref10","first-page":"3024","article-title":"radiomic features of lung cancer and their dependency on ct image acquisition parameters","volume":"44","author":"liang","year":"2017","journal-title":"Medical Physics"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2018172361"},{"key":"ref40","article-title":"Patch-based image inpainting with generative adversarial networks","author":"demir","year":"2018","journal-title":"arXiv preprint arXiv 1803 07422"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1118\/1.4829514"},{"journal-title":"Radiosity and Realistic Image Synthesis","year":"2012","author":"cohen","key":"ref13"},{"key":"ref14","first-page":"1060","article-title":"Generative adversarial text to image synthesis","volume":"48","author":"reed","year":"2016","journal-title":"Proceedings of the 33rd International Conference on Machine Learning"},{"journal-title":"Digital Image Processing","year":"2012","author":"gonzalez","key":"ref15"},{"journal-title":"Digital Picture Processing","year":"1976","author":"rosenfeld","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.728"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNB.2019.2911026"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1117\/1.482715"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1118\/1.3556607"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1118\/1.1589017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.5.1.011020"},{"journal-title":"The Essential Physics of Medical Imaging","year":"2011","author":"bushberg","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/61\/13\/R150"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacr.2013.05.032"},{"key":"ref49","first-page":"265","article-title":"Tensorflow: A system for large-scale machine learning","volume":"16","author":"abadi","year":"2016","journal-title":"OSDI"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.10100799"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"ref45","article-title":"Connecting generative adversarial networks and actor-critic methods","author":"pfau","year":"2017","journal-title":"arXiv 1610 01945"},{"key":"ref48","first-page":"583","article-title":"Cluster ensembles–a knowledge reuse framework for combining multiple partitions","volume":"3","author":"strehl","year":"2002","journal-title":"The Journal of Machine Learning Research"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref42","article-title":"Ensembles of generative adversarial networks","author":"wang","year":"2016","journal-title":"arXiv preprint arXiv 1612 00991"},{"key":"ref41","article-title":"Semantic segmentation using adversarial networks","author":"luc","year":"2016","journal-title":"arXiv preprint arXiv 1611 08408"},{"key":"ref44","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref43","article-title":"Generative multi-adversarial networks","author":"durugkar","year":"2016","journal-title":"arXiv preprint arXiv 1611 01673"}],"event":{"name":"2019 IEEE International Conference on Healthcare Informatics (ICHI)","start":{"date-parts":[[2019,6,10]]},"location":"Xi'an, China","end":{"date-parts":[[2019,6,13]]}},"container-title":["2019 IEEE International Conference on Healthcare Informatics (ICHI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8895688\/8904471\/08904763.pdf?arnumber=8904763","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,4]],"date-time":"2025-09-04T18:20:31Z","timestamp":1757010031000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8904763\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/ichi.2019.8904763","relation":{},"subject":[],"published":{"date-parts":[[2019,6]]}}}