{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T00:32:31Z","timestamp":1777336351899,"version":"3.51.4"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62171273"],"award-info":[{"award-number":["62171273"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007219","name":"Natural Science Foundation of Shanghai","doi-asserted-by":"publisher","award":["22ZR1432100"],"award-info":[{"award-number":["22ZR1432100"]}],"id":[{"id":"10.13039\/100007219","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004921","name":"Med-Engineering Crossing Foundation from Shanghai Jiao Tong University","doi-asserted-by":"publisher","award":["AH0820009"],"award-info":[{"award-number":["AH0820009"]}],"id":[{"id":"10.13039\/501100004921","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004921","name":"Med-Engineering Crossing Foundation from Shanghai Jiao Tong University","doi-asserted-by":"publisher","award":["YG2022QN007"],"award-info":[{"award-number":["YG2022QN007"]}],"id":[{"id":"10.13039\/501100004921","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1109\/tmi.2022.3202037","type":"journal-article","created":{"date-parts":[[2023,2,2]],"date-time":"2023-02-02T19:48:07Z","timestamp":1675367287000},"page":"380-390","source":"Crossref","is-referenced-by-count":23,"title":["Diagnosis of Glioblastoma Multiforme Progression via Interpretable Structure-Constrained Graph Neural Networks"],"prefix":"10.1109","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3863-1831","authenticated-orcid":false,"given":"Xiaofan","family":"Song","sequence":"first","affiliation":[{"name":"School of Biomedical Engineering, Institute for Medical Imaging Technology, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4566-9536","authenticated-orcid":false,"given":"Jun","family":"Li","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Institute for Medical Imaging Technology, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6548-6801","authenticated-orcid":false,"given":"Xiaohua","family":"Qian","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Institute for Medical Imaging Technology, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2020.574012"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s00259-018-4090-4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-020-00545-5"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1118\/1.4963812"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(08)70125-6"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11060-018-03063-1"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1093\/neuonc\/nox227"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000020270"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2020.109445"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1093\/neuonc\/noy133"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A5858"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-77389-0"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-31007-2"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2020.102880"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1002\/mp.14003"},{"key":"ref16","article-title":"Few-shot learning with graph neural networks","author":"Garcia","year":"2017","journal-title":"arXiv:1711.04043"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00011"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358106"},{"key":"ref19","article-title":"Variationally regularized graph-based representation learning for electronic health records","author":"Zhu","year":"2019","journal-title":"arXiv:1912.03761"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2018.06.001"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32251-9_14"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref24","article-title":"Understanding neural networks through deep visualization","author":"Yosinski","year":"2015","journal-title":"arXiv:1506.06579"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220063"},{"key":"ref26","first-page":"5247","article-title":"Extracting automata from recurrent neural networks using queries and counterexamples","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Weiss"},{"key":"ref27","article-title":"Opening the black box of deep neural networks via information","author":"Shwartz-Ziv","year":"2017","journal-title":"arXiv:1703.00810"},{"key":"ref28","first-page":"1","article-title":"Gnnexplainer: Generating explanations for graph neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Ying"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btac088"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3144017"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A4474"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2893944"},{"key":"ref36","article-title":"Automatic skin lesion analysis using large-scale dermoscopy images and deep residual networks","author":"Bi","year":"2017","journal-title":"arXiv:1703.04197"},{"key":"ref37","article-title":"Image classification of melanoma, nevus and seborrheic keratosis by deep neural network ensemble","author":"Matsunaga","year":"2017","journal-title":"arXiv:1703.03108"},{"key":"ref38","article-title":"Incorporating the knowledge of dermatologists to convolutional neural networks for the diagnosis of skin lesions","author":"D\u00edaz","year":"2017","journal-title":"arXiv:1703.01976"},{"key":"ref39","article-title":"A novel multi-task deep learning model for skin lesion segmentation and classification","author":"Yang","year":"2017","journal-title":"arXiv:1703.01025"},{"key":"ref40","article-title":"RECOD titans at ISIC challenge 2017","author":"Menegola","year":"2017","journal-title":"arXiv:1703.04819"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.07.004"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2974574"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/10035777\/09868065.pdf?arnumber=9868065","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T03:33:59Z","timestamp":1710387239000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9868065\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2]]},"references-count":42,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2022.3202037","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2]]}}}