{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T16:15:02Z","timestamp":1771949702353,"version":"3.50.1"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"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\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62371286"],"award-info":[{"award-number":["62371286"]}],"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"}]},{"name":"Med-Engineering Crossing Foundation from Shanghai Jiao Tong University","award":["YG2022QN007"],"award-info":[{"award-number":["YG2022QN007"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Artif. Intell."],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1109\/tai.2025.3526137","type":"journal-article","created":{"date-parts":[[2025,1,7]],"date-time":"2025-01-07T15:06:26Z","timestamp":1736262386000},"page":"1529-1539","source":"Crossref","is-referenced-by-count":1,"title":["A Spatial-Transformation-Based Causality-Enhanced Model for Glioblastoma Progression Diagnosis"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4877-7826","authenticated-orcid":false,"given":"Qiang","family":"Li","sequence":"first","affiliation":[{"name":"Biomedical Image and Health Informatics Lab, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9562-3440","authenticated-orcid":false,"given":"Xinyue","family":"Li","sequence":"additional","affiliation":[{"name":"Biomedical Image and Health Informatics Lab, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0038-8960","authenticated-orcid":false,"given":"Hong","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Rui Jin Hospital, 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":"Biomedical Image and Health Informatics Lab, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.radonc.2023.109486"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.20892\/j.issn.2095-3941.2019.0144"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1093\/neuonc\/now135"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-020-07414-3"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1118\/1.4963812"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1097\/RMR.0000000000000117"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A4474"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-77389-0"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11060-022-04080-x"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2020.102880"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.2196\/19805"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/mp.14003"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3202037"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7000"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01358"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1158\/0008-5472.CAN-18-0696"},{"key":"ref17","first-page":"2672","article-title":"Generative adversarial nets","volume-title":"Proc. NIPS","author":"Goodfellow","year":"2014"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12146"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3015224"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1167\/16.12.326"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/mp.14003"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-022-11108-w"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102753"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-02769-6"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01409"},{"key":"ref26","first-page":"1462","article-title":"A causal view of compositional zero-shot recognition","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Atzmon","year":"2020"},{"key":"ref27","first-page":"1513","article-title":"Long-tailed classification by keeping the good and removing the bad momentum causal effect","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Tang","year":"2020"},{"key":"ref28","first-page":"2734","article-title":"Interventional few-shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Yue","year":"2020"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3236162"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3035789"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2016.90"},{"key":"ref32","first-page":"18661","article-title":"Supervised contrastive learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Khosla","year":"2020"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1158\/1538-7445.AM2019-3351"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/cancers14061475"},{"issue":"11","key":"ref35","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01228-7"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/nrclinonc.2017.141"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102032"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref40","first-page":"2127","article-title":"Attention-based deep multiple instance learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ilse","year":"2018"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/s20185097"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref44","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3053568"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.11.001"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3144017"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-023-01082-7"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-023-10324-9"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2024.05.003"},{"key":"ref51","article-title":"Deep learning for lung cancer detection: Tackling the Kaggle data science bowl 2017 challenge","author":"Kuan","year":"2017"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-54526-4_7"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00079"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.03.103"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.107825"}],"container-title":["IEEE Transactions on Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9078688\/11021002\/10830523.pdf?arnumber=10830523","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T01:09:52Z","timestamp":1755911392000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10830523\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6]]},"references-count":55,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tai.2025.3526137","relation":{},"ISSN":["2691-4581"],"issn-type":[{"value":"2691-4581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6]]}}}