{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T04:52:44Z","timestamp":1791262364633,"version":"4.1.0"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Flanders AI Research Program"},{"name":"National Plan for Complementary Investments to the NRRP D34H","award":["PNC0000001"],"award-info":[{"award-number":["PNC0000001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1109\/jbhi.2025.3623381","type":"journal-article","created":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T19:00:59Z","timestamp":1764010859000},"page":"8356-8368","source":"Crossref","is-referenced-by-count":0,"title":["Deconver: A Deconvolutional Network for Medical Image Segmentation"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5032-7808","authenticated-orcid":false,"given":"Pooya","family":"Ashtari","sequence":"first","affiliation":[{"name":"KU Leuven","place":["Leuven, Belgium"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-1708-5591","authenticated-orcid":false,"given":"Shahryar","family":"Noei","sequence":"additional","affiliation":[{"name":"Fondazione Bruno Kessler","place":["Trento, Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8874-8835","authenticated-orcid":false,"given":"Fateme Nateghi","family":"Haredasht","sequence":"additional","affiliation":[{"name":"Stanford University","place":["Stanford, CA, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4387-8740","authenticated-orcid":false,"given":"Jonathan H.","family":"Chen","sequence":"additional","affiliation":[{"name":"Stanford University","place":["Stanford, CA, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2705-5728","authenticated-orcid":false,"given":"Giuseppe","family":"Jurman","sequence":"additional","affiliation":[{"name":"Fondazione Bruno Kessler","place":["Trento, Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9322-4999","authenticated-orcid":false,"given":"Aleksandra","family":"Pizurica","sequence":"additional","affiliation":[{"name":"Ghent University","place":["Gent, Belgium"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5939-0996","authenticated-orcid":false,"given":"Sabine","family":"Van Huffel","sequence":"additional","affiliation":[{"name":"KU Leuven","place":["Leuven, Belgium"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref2","first-page":"424","article-title":"3D U-Net: Learning dense volumetric segmentation from sparse annotation","volume-title":"Proc. Int. Conf. Med. Image Comput. Comput.-Assisted Intervention","author":"iek","year":"2016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43901-8_39"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3293771"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3230943"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2024.103280"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-08999-2_22"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.rsase.2025.101478"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/rs16162892"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/2946.001.0001"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1086\/111605"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11726-9_28"},{"key":"ref15","article-title":"A robust ensemble algorithm for ischemic stroke lesion segmentation: Generalizability and clinical utility beyond the isles challenge","author":"de la Rosa","year":"2024"},{"key":"ref16","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","volume-title":"Proc. 9th Int. Conf. Learn. Representations","author":"Dosovitskiy","year":"2021"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102706"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00181"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18280\/ts.370321"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1364\/JOSA.62.000055"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.2174\/1573405620666230602123028"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.5120\/14046-2209"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2905055.2905257"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.26.000072"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/ad36a9"},{"key":"ref27","first-page":"556","article-title":"Algorithms for non-negative matrix factorization","volume-title":"Proc. Adv. Neural Inform. Process. Syst.","volume":"13","author":"Lee","year":"2000"},{"key":"ref28","article-title":"Instance normalization: The missing ingredient for fast stylization","author":"Ulyanov","year":"2017"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-022-01875-5"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-30695-9"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2377694"},{"key":"ref33","article-title":"The RSNA-ASNR-MICCAI BraTS 2021 benchmark on brain tumor segmentation and radiogenomic classification","author":"Baid","year":"2021"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2017.117"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.08.008"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2433900"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-022-01564-3"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6221020\/11720547\/11265864.pdf?arnumber=11265864","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T04:19:22Z","timestamp":1791260362000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11265864\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":38,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2025.3623381","relation":{},"ISSN":["2168-2208","2168-2194"],"issn-type":[{"value":"2168-2208","type":"electronic"},{"value":"2168-2194","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]}}}