{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T03:11:42Z","timestamp":1779333102703,"version":"3.51.4"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Research Support Fund of Symbiosis International (Deemed University), Pune, India"},{"DOI":"10.13039\/501100001843","name":"Core Research Grant through the Science and Engineering Research Board (SERB) Department of Science and Technology","doi-asserted-by":"publisher","award":["CRG\/2020\/003258"],"award-info":[{"award-number":["CRG\/2020\/003258"]}],"id":[{"id":"10.13039\/501100001843","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3136293","type":"journal-article","created":{"date-parts":[[2021,12,16]],"date-time":"2021-12-16T20:38:36Z","timestamp":1639687116000},"page":"167900-167910","source":"Crossref","is-referenced-by-count":25,"title":["Comprehensive Genomic Subtyping of Glioma Using Semi-Supervised Multi-Task Deep Learning on Multimodal MRI"],"prefix":"10.1109","volume":"9","author":[{"given":"Priyanka","family":"Tupe-Waghmare","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9906-3196","authenticated-orcid":false,"given":"Piyush","family":"Malpure","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2653-3780","authenticated-orcid":false,"given":"Ketan","family":"Kotecha","sequence":"additional","affiliation":[]},{"given":"Manish","family":"Beniwal","sequence":"additional","affiliation":[]},{"given":"Vani","family":"Santosh","sequence":"additional","affiliation":[]},{"given":"Jitender","family":"Saini","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4809-8559","authenticated-orcid":false,"given":"Madhura","family":"Ingalhalikar","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/jpm11040290"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1093\/neuonc\/noaa177"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1093\/noajnl\/vdaa066"},{"key":"ref36","article-title":"Predicting 1p19q chromosomal deletion of low-grade gliomas from MR images using deep learning","author":"akkus","year":"2016","journal-title":"arXiv 1611 06939"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2018.36.15_suppl.2051"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A7029"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/modpathol.2012.166"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/ana.20607"},{"key":"ref12","first-page":"924","article-title":"Histological grading of gliomas","volume":"5","author":"daumas-duport","year":"1992","journal-title":"Current opinion Neurol Neurosurg"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/glia.440150303"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/cancers11070950"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s00432-018-2787-1"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2017.8037508"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1158\/1078-0432.CCR-19-1127"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-017-5302-1"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.crad.2019.01.028"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3171\/jns.2003.99.3.0467"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.269"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.4103\/0019-509X.49150"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1111\/bpa.12832"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.622"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s00401-016-1545-1"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/nature10860"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa0808710"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2013.280319"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.inat.2016.06.008"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/neuonc\/nou087"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/9258649"},{"key":"ref22","first-page":"1","article-title":"Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features","volume":"4","author":"bakas","year":"2017","journal-title":"Data Science Journal"},{"key":"ref21","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.10.004"},{"key":"ref23","first-page":"1","article-title":"Advanced normalization tools (ANTs)","volume":"2","author":"avants","year":"2009","journal-title":"Insight J"},{"key":"ref26","first-page":"234","article-title":"No new-net","author":"isensee","year":"2018","journal-title":"Proc Int MICCAI Brainlesion Workshop"},{"key":"ref25","first-page":"46","article-title":"Multi-scale 3D convolutional neural networks for lesion segmentation in brain MRI","volume":"13","author":"kamnitsas","year":"2015","journal-title":"Ischemic Stroke Lesion Segmentation"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09654221.pdf?arnumber=9654221","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,21]],"date-time":"2022-02-21T22:14:26Z","timestamp":1645481666000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9654221\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3136293","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}