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Surv."],"published-print":{"date-parts":[[2024,6,30]]},"abstract":"<jats:p>\n            Generative models such as generative adversarial networks and autoencoders have gained a great deal of attention in the medical field due to their excellent data generation capability. This article provides a comprehensive survey of generative models for 3D volumes, focusing on the brain and heart. A new and elaborate taxonomy of unconditional and conditional generative models is proposed to cover diverse medical tasks for the brain and heart: unconditional synthesis, classification, conditional synthesis, segmentation, denoising, detection, and registration. We provide relevant background, examine each task, and also suggest potential future directions. A list of the latest publications will be updated on GitHub to keep up with the rapid influx of papers at\n            <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/github.com\/csyanbin\/3D-Medical-Generative-Survey\">https:\/\/github.com\/csyanbin\/3D-Medical-Generative-Survey<\/jats:ext-link>\n            .\n          <\/jats:p>","DOI":"10.1145\/3638044","type":"journal-article","created":{"date-parts":[[2023,12,19]],"date-time":"2023-12-19T11:54:17Z","timestamp":1702986857000},"page":"1-37","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["3D Brain and Heart Volume Generative Models: A Survey"],"prefix":"10.1145","volume":"56","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4724-8065","authenticated-orcid":false,"given":"Yanbin","family":"Liu","sequence":"first","affiliation":[{"name":"Harry Perkins Institute of Medical Research, Department of Computer Science and Software Engineering, The University of Western Australia, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0717-740X","authenticated-orcid":false,"given":"Girish","family":"Dwivedi","sequence":"additional","affiliation":[{"name":"Harry Perkins Institute of Medical Research, The University of Western Australia, Fiona Stanley Hospital, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7250-7407","authenticated-orcid":false,"given":"Farid","family":"Boussaid","sequence":"additional","affiliation":[{"name":"Department of Electrical, Electronic and Computer Engineering, The University of Western Australia, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6603-3257","authenticated-orcid":false,"given":"Mohammed","family":"Bennamoun","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Software Engineering, The University of Western Australia, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,1,22]]},"reference":[{"key":"e_1_3_2_2_2","article-title":"Medical image denoising system based on stacked convolutional autoencoder for enhancing 2-dimensional gel electrophoresis noise reduction","volume":"69","author":"Ahmed Aya Saleh","year":"2021","unstructured":"Aya Saleh Ahmed, Wessam H. 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