{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:24:44Z","timestamp":1760711084293,"version":"3.28.0"},"reference-count":52,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"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":[[2022,8,21]]},"DOI":"10.1109\/icpr56361.2022.9956383","type":"proceedings-article","created":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T19:34:13Z","timestamp":1669750453000},"page":"2756-2763","source":"Crossref","is-referenced-by-count":2,"title":["End-to-End Task-Guided Refinement of Synthetic Images for Data Efficient Cerebral Microbleed Detection"],"prefix":"10.1109","author":[{"given":"Grant","family":"Nikseresht","sequence":"first","affiliation":[{"name":"Illinois Institute of Technology,Department of Computer Science,Chicago,Illinois,60616"}]},{"given":"Gady","family":"Agam","sequence":"additional","affiliation":[{"name":"Illinois Institute of Technology,Department of Computer Science,Chicago,Illinois,60616"}]},{"given":"Konstantinos","family":"Arfanakis","sequence":"additional","affiliation":[{"name":"Illinois Institute of Technology,Department of Biomedical Engineering,Chicago,Illinois,60616"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"crossref","first-page":"101552","DOI":"10.1016\/j.media.2019.101552","article-title":"Generative adversarial network in medical imaging: A review","volume":"58","author":"yi","year":"2019","journal-title":"Medical Image Analysis"},{"key":"ref38","article-title":"Domain adaptation for medical image analysis: A survey","author":"guan","year":"2021","journal-title":"CoRR"},{"key":"ref33","first-page":"2642","article-title":"Conditional image synthesis with auxiliary classifier GANs","volume":"70","author":"odena","year":"0"},{"key":"ref32","article-title":"Conditional image generation with pixelcnn decoders","author":"van den oord","year":"2016","journal-title":"CoRR"},{"key":"ref31","article-title":"Conditional generative adversarial nets","author":"mirza","year":"2014","journal-title":"CoRR"},{"key":"ref30","first-page":"767","article-title":"T2net: Synthetic-to-realistic translation for solving single-image depth estimation tasks","author":"zheng","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref37","article-title":"Few-shot adversarial domain adaptation","author":"motiian","year":"2017","journal-title":"CoRR"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.609"},{"key":"ref35","article-title":"cgans with auxiliary discriminative classifier","author":"hou","year":"2021","journal-title":"CoRR"},{"key":"ref34","volume":"32","author":"gong","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref28","article-title":"Differentiable augmentation for data-efficient gan training","author":"zhao","year":"2020","journal-title":"Conference on Neural Information Processing Systems (NeurIPS)"},{"key":"ref27","article-title":"Consistency regularization for generative adversarial networks","author":"odena","year":"2020","journal-title":"International Conference on Learning Representations"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref2","article-title":"Procsy: Procedural synthetic dataset generation towards influence factor studies of semantic segmentation networks","author":"khan","year":"2019","journal-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-75178-4_10"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-93427-x"},{"key":"ref22","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 2"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.3390\/electronics10182208","article-title":"A comprehensive analysis of deep neural-based cerebral microbleeds detection system","volume":"10","author":"ferlin","year":"2021","journal-title":"Electronics"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01153"},{"key":"ref23","first-page":"12 104","volume":"33","author":"karras","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref26","article-title":"Regularing generative adversarial networks under limited data","author":"tseng","year":"2021","journal-title":"CVPR"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3049346"},{"key":"ref50","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"CoRR"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0056195"},{"key":"ref52","article-title":"Deep residual learning for image recognition","author":"he","year":"2015","journal-title":"CoRR"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01201-4_28"},{"key":"ref11","article-title":"Learning implicit brain MRI manifolds with deep learning","author":"bermudez","year":"2018","journal-title":"CoRR"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00536-8_1"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101816"},{"article-title":"Gans for medical image synthesis: An empirical study","year":"2021","author":"skandarani","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(09)70013-4"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1001\/jamaneurol.2016.1017"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1177\/1533317518770783"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000008735"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2528129"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-83607-0"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093570"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2010.09.027"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.241"},{"key":"ref5","article-title":"Class-aware adversarial lung nodule synthesis in CT images","author":"yang","year":"2018","journal-title":"CoRR"},{"key":"ref8","article-title":"Gazegan unpaired adversarial image generation for gaze estimation","author":"sela","year":"2017","journal-title":"CoRR"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"1619","DOI":"10.3389\/fnins.2021.778767","article-title":"Generative model of brain microbleeds for mri detection of vascular marker of neurodegenerative diseases","volume":"15","author":"momeni","year":"2021","journal-title":"Frontiers in Neuroscience"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2010.2046908"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2021.106127"},{"article-title":"Adversarial cycleconsistent synthesis of cerebral microbleeds for data augmentation","year":"2021","author":"faryna","key":"ref46"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3389\/fdata.2021.659146"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.2174\/156720512801322573"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.2174\/156720512801322663"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.radonc.2020.06.049"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2019.00085"},{"key":"ref44","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1016\/j.neucom.2018.09.013","article-title":"Gan-based synthetic medical image augmentation for increased cnn performance in liver lesion classification","volume":"321","author":"frid-adar","year":"2018","journal-title":"Neurocomputing"},{"key":"ref43","first-page":"417","article-title":"Medical image synthesis with context-aware generative adversarial networks","volume":"10435 lncs","author":"nie","year":"2017"}],"event":{"name":"2022 26th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2022,8,21]]},"location":"Montreal, QC, Canada","end":{"date-parts":[[2022,8,25]]}},"container-title":["2022 26th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9956007\/9955631\/09956383.pdf?arnumber=9956383","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T20:03:37Z","timestamp":1671480217000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9956383\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,21]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/icpr56361.2022.9956383","relation":{},"subject":[],"published":{"date-parts":[[2022,8,21]]}}}