{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T00:22:41Z","timestamp":1777422161989,"version":"3.51.4"},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"ICON project"},{"name":"Digital Sciences for Society and the Zero Poverty Lab at Tilburg University"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3560395","type":"journal-article","created":{"date-parts":[[2025,4,14]],"date-time":"2025-04-14T17:40:06Z","timestamp":1744652406000},"page":"66529-66556","source":"Crossref","is-referenced-by-count":5,"title":["Data Augmentation Techniques for fMRI Data: A Technical Survey"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-9086-1352","authenticated-orcid":false,"given":"Valentina","family":"S\u00e1nchez","sequence":"first","affiliation":[{"name":"Department of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1939-8325","authenticated-orcid":false,"given":"\u00c7i\u00e7ek","family":"G\u00fcven","sequence":"additional","affiliation":[{"name":"Department of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1936-3701","authenticated-orcid":false,"given":"Gonzalo","family":"N\u00e1poles","sequence":"additional","affiliation":[{"name":"Department of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, The Netherlands"}]},{"given":"Marie \u0160af\u00e1\u0159","family":"Postma","sequence":"additional","affiliation":[{"name":"Department of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, The Netherlands"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.04.026"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.87.24.9868"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/nature06976"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511895029"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.460010207"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2023.1194190"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ac1179"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-44858-4_8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neubiorev.2017.01.002"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1162\/netn_a_00054"},{"key":"ref12","first-page":"2","article-title":"mixup: Beyond empirical risk minimization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Zhang"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2765202"},{"key":"ref14","article-title":"Adversarial autoencoders","author":"Makhzani","year":"2015","journal-title":"arXiv:1511.05644"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105603"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-02579-w"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3232670"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/BigData55660.2022.10020662"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10446319"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3451421.3451425"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.107395"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-31654-9_38"},{"key":"ref23","article-title":"Graph-regularized manifold-aware conditional Wasserstein GAN for brain functional connectivity generation","author":"Tan","year":"2022","journal-title":"arXiv:2212.05316"},{"key":"ref24","article-title":"GraphRNN: Generating realistic graphs with deep auto-regressive models","author":"You","year":"2018","journal-title":"arXiv:1802.08773"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.26469"},{"key":"ref26","article-title":"Data augmentation on graphs: A technical survey","author":"Zhou","year":"2022","journal-title":"arXiv:2212.09970"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/app12146925"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67389-9_42"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102163"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.05.043"},{"key":"ref32","first-page":"126","article-title":"Augmenting feature-driven fMRI analyses: Semi-supervised learning and resting state activity","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"22","author":"Blaschko"},{"key":"ref33","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"25","author":"Krizhevsky"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2007.07.007"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000043755.93987.aa"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2021.117758"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1117\/12.2548630"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87193-2_19"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICICIP47338.2019.9012169"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.106039"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1002\/mp.14651"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2022.103214"},{"key":"ref44","article-title":"Geodesics for the painleve-gullstrand form of lense-thirring spacetime","author":"Baines","year":"2021","journal-title":"arXiv:2112.05228"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3219551"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-12646-y"},{"key":"ref47","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"Radford","year":"2015","journal-title":"arXiv:1511.06434"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_40"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87196-3_46"},{"key":"ref50","article-title":"Neuromorphologicaly-preserving volumetric data encoding using VQ-VAE","author":"Tudosiu","year":"2020","journal-title":"arXiv:2002.05692"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref52","first-page":"3","article-title":"Fixup initialization: Residual learning without normalization","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Zhang"},{"key":"ref53","first-page":"63","article-title":"Fusing unsupervised and supervised deep learning for white matter lesion segmentation","volume-title":"Proc. 2nd Int. Conf. Med. Imag. Deep Learn.","author":"Baur"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2020.110069"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1002\/mp.14701"},{"key":"ref56","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759585"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1089\/brain.2021.0186"},{"key":"ref59","first-page":"3","article-title":"Peaks2image: Reconstructing fMRI statistical maps from peaks","volume-title":"Proc. ICLR","author":"Meudec"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.11.088"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v044.i10"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(00)00070-8"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.20939"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1117\/12.2254777"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10964261.pdf?arnumber=10964261","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T05:26:40Z","timestamp":1745299600000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10964261\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":64,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3560395","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}