{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T00:23:49Z","timestamp":1778891029617,"version":"3.51.4"},"reference-count":79,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000288","name":"Royal Society","doi-asserted-by":"publisher","award":["NIF\\R1\\232460"],"award-info":[{"award-number":["NIF\\R1\\232460"]}],"id":[{"id":"10.13039\/501100000288","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["R21AG082082,1R01AG064027,R01AG016495,1R01AG070988,1RF1AG080371,1R21NS138995"],"award-info":[{"award-number":["R21AG082082,1R01AG064027,R01AG016495,1R01AG070988,1RF1AG080371,1R21NS138995"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","award":["R01 MH123195,R01 MH121885,1RF1MH123195"],"award-info":[{"award-number":["R01 MH123195,R01 MH121885,1RF1MH123195"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000135","name":"NIH Blueprint for Neuroscience Research","doi-asserted-by":"publisher","award":["5U01-MH093765"],"award-info":[{"award-number":["5U01-MH093765"]}],"id":[{"id":"10.13039\/100000135","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100011495","name":"Massachusetts Life Sciences Center","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100011495","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,19]]},"DOI":"10.1109\/iccv51701.2025.01894","type":"proceedings-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:45:49Z","timestamp":1777491949000},"page":"20368-20378","source":"Crossref","is-referenced-by-count":1,"title":["Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation"],"prefix":"10.1109","author":[{"given":"Xiaoling","family":"Hu","sequence":"first","affiliation":[{"name":"Massachusetts General Hospital and Harvard Medical School"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangrui","family":"Zeng","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital and Harvard Medical School"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oula","family":"Puonti","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital and Harvard Medical School"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juan Eugenio","family":"Iglesias","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital and Harvard Medical School"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bruce","family":"Fischl","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital and Harvard Medical School"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ya\u00ebl","family":"Balbastre","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital and Harvard Medical School"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN49398.2020.9209598"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-30695-9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/ail2.62"},{"key":"ref4","article-title":"Online learning rate adaptation with hypergradient descent","author":"Gunes Baydin","year":"2018","journal-title":"ICLR"},{"key":"ref5","article-title":"Deep learners benefit more from out-of-distribution examples","author":"Bengio","year":"2011","journal-title":"AISTATS"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102789"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2216399120"},{"key":"ref8","author":"David","year":"2020","journal-title":"Assessing radiology research on artificial intelligence: a brief guide for authors"},{"key":"ref9","article-title":"Semisupervised and task-driven data augmentation","author":"Chaitanya","year":"2019","journal-title":"IPMI"},{"key":"ref10","article-title":"Contrastive learning of global and local features for medical image segmentation with limited annotations","author":"Chaitanya","year":"2020","journal-title":"NeurIPS"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.52202\/068431-0597"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2017.2764326"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301865"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102597"},{"key":"ref15","article-title":"A simple framework for contrastive learning of visual representations","author":"Chen","year":"2020","journal-title":"ICML"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00020"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/mp.2013.78"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2929258"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/S0896-6273(02)00569-X"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2004.07.016"},{"key":"ref21","article-title":"Forward and reverse gradient-based hyperparameter optimization","author":"Franceschi","year":"2017","journal-title":"ICML"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363576"},{"key":"ref23","article-title":"Domain-adversarial training of neural networks","author":"Ganin","year":"2016","journal-title":"JMLR"},{"key":"ref24","article-title":"Synthesizing programs for images using reinforced adversarial learning","author":"Ganin","year":"2018","journal-title":"ICML"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58595-2_1"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102136"},{"key":"ref28","article-title":"Denoising diffusion probabilistic models","author":"Ho","year":"2020","journal-title":"NeurIPS"},{"key":"ref29","article-title":"CyCADA: Cycle-consistent adversarial domain adaptation","author":"Hoffman","year":"2018","journal-title":"ICML"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2021.3116879"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2022.119474"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2018.2876633"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.add3607"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-59496-5_337"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00931-1_75"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59050-9_47"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101907"},{"key":"ref40","article-title":"Glow: Generative flow with invertible 1x1 convolutions","author":"Kingma","year":"2018","journal-title":"NeurIPS"},{"key":"ref41","article-title":"OASIS-3: longitudinal neuroimaging, clinical, and cognitive dataset for normal aging and alzheimer disease","author":"LaMontagne","year":"2019","journal-title":"medrxiv"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00820"},{"key":"ref43","article-title":"Fast autoaugment","author":"Lim","year":"2019","journal-title":"NeurIPS"},{"key":"ref44","article-title":"Undoing the damage of label shift for crossdomain semantic segmentation","author":"Liu","year":"2022","journal-title":"CVPR"},{"key":"ref45","article-title":"Gradient-based hyperparameter optimization through reversible learning","author":"Maclaurin","year":"2015","journal-title":"ICML"},{"key":"ref46","article-title":"Deep adversarial training for multi-organ nuclei segmentation in histopathology images","author":"Mahmood","year":"2019","journal-title":"TMI"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1148\/ryai.220028"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref49","author":"M\u00fcller","year":"2019","journal-title":"When does label smoothing help? In NeurIPS"},{"key":"ref50","article-title":"Improved denoising diffusion probabilistic models","author":"Nichol","year":"2021","journal-title":"ICML"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-75178-4"},{"key":"ref52","article-title":"Masked autoregressive flow for density estimation","author":"Papamakarios","year":"2017","journal-title":"NeurIPS"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2016.09.011"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_7"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-52737-x"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-18037-z"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.241"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-658-41657-7_11"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67558-9_28"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00622"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2018.8628742"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202133"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00143"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00445"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.06.061"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-022-00592-y"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.05.083"},{"key":"ref70","article-title":"Image augmentation is all you need: Regularizing deep reinforcement learning from pixels","author":"Yarats","year":"2021","journal-title":"ICLR"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-18523-6_1"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3161829"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2973595"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_47"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01001"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00963"},{"key":"ref77","article-title":"Ex uno plures: Splitting one model into an ensemble of subnetworks","author":"Zhang","year":"2021","journal-title":"arXiv preprint"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00874"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"}],"event":{"name":"2025 IEEE\/CVF International Conference on Computer Vision (ICCV)","location":"Honolulu, HI, USA","start":{"date-parts":[[2025,10,19]]},"end":{"date-parts":[[2025,10,25]]}},"container-title":["2025 IEEE\/CVF International Conference on Computer Vision (ICCV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11443115\/11443287\/11443609.pdf?arnumber=11443609","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T06:10:36Z","timestamp":1777529436000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11443609\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":79,"URL":"https:\/\/doi.org\/10.1109\/iccv51701.2025.01894","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}