{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T05:40:16Z","timestamp":1771306816991,"version":"3.50.1"},"reference-count":82,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":["62471182"],"award-info":[{"award-number":["62471182"]}],"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":["62101191"],"award-info":[{"award-number":["62101191"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013105","name":"Shanghai Rising-Star Program","doi-asserted-by":"publisher","award":["24QA2702100"],"award-info":[{"award-number":["24QA2702100"]}],"id":[{"id":"10.13039\/501100013105","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["22DZ2229004"],"award-info":[{"award-number":["22DZ2229004"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tip.2025.3575183","type":"journal-article","created":{"date-parts":[[2025,6,5]],"date-time":"2025-06-05T17:39:16Z","timestamp":1749145156000},"page":"3748-3763","source":"Crossref","is-referenced-by-count":1,"title":["S<sup>4<\/sup>R: Separated Self-Supervised Spectral Regression for Hyperspectral Histopathology Image Diagnosis"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1592-9627","authenticated-orcid":false,"given":"Yan","family":"Wang","sequence":"first","affiliation":[{"name":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1449-1852","authenticated-orcid":false,"given":"Xingran","family":"Xie","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"}]},{"given":"Lili","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Pathology, Ruijin Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China"}]},{"given":"Benyan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Pathology, Ruijin Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China"}]},{"given":"Chunhua","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China"}]},{"given":"Duowu","family":"Zou","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6799-9416","authenticated-orcid":false,"given":"Le","family":"Lu","sequence":"additional","affiliation":[{"name":"DAMO Academy, Alibaba Group, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5063-8801","authenticated-orcid":false,"given":"Qingli","family":"Li","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3059699"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/35017638"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102488"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/jbio.202200163"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3266169"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3279978"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3306916"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102256"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102539"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102805"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.5555\/3495724.3497510"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01549"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00943"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3310489"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00210"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/rs16060970"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3264976"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/s23073728"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02616"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2748160"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3057768"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3024923"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2755542"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43901-8_15"},{"key":"ref27","first-page":"17864","article-title":"Per-pixel classification is not all you need for semantic segmentation","volume-title":"Proc. NeurIPS","author":"Cheng"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00135"},{"key":"ref29","first-page":"46","article-title":"S3R: Self-supervised spectral regression for hyperspectral histopathology image classification","volume-title":"Proc. MICCAI","author":"Xie"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2916734"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3008286"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2980398"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3166252"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3279050"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1117\/1.jbo.23.10.106002"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-802838-4.00016-9"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3034133"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3190466"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-585-33173-7_8"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3112577"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1201\/b11656-24"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-022-06219-3"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00346"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00201"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1285"},{"key":"ref47","first-page":"1","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","volume-title":"Proc. ICLR","author":"Dosovitskiy"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3226624"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01170"},{"key":"ref51","first-page":"12077","article-title":"SegFormer: Simple and efficient design for semantic segmentation with transformers","volume-title":"Proc. NeurIPS","author":"Xie"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00297"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2865304"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01458"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2947470"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72111-3_43"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref60","article-title":"Fixing weight decay regularization in Adam","author":"Loshchilov","year":"2017","journal-title":"arXiv:1711.05101"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref62","first-page":"1585","article-title":"On the surrogate gap between contrastive and supervised losses","volume-title":"Proc. ICML","author":"Bao"},{"key":"ref63","first-page":"1","article-title":"DINOv2: Learning robust visual features without supervision","author":"Oquab","year":"2023","journal-title":"Trans. Mach. Learn. Res."},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00211"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43898-1_47"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_49"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59716-0_66"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00181"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3314616"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3130716"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3611796"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.4103\/EUS-D-21-00180"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3331236"},{"key":"ref76","first-page":"13255","article-title":"A Fourier perspective on model robustness in computer vision","volume-title":"Proc. NeurIPS","author":"Yin"},{"key":"ref77","first-page":"17390","article-title":"Blurs behave like ensembles: Spatial smoothings to improve accuracy, uncertainty, and robustness","volume-title":"Proc. ICML","author":"Park"},{"key":"ref78","first-page":"2232","article-title":"An investigation into neural net optimization via Hessian eigenvalue density","volume-title":"Proc. ICML","author":"Ghorbani"},{"key":"ref79","first-page":"1","article-title":"How do vision transformers work?","volume-title":"Proc. ICLR","author":"Park"},{"key":"ref80","first-page":"12310","article-title":"Barlow twins: Self-supervised learning via redundancy reduction","volume-title":"Proc. ICML","author":"\u017dbontar"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00897"},{"key":"ref82","article-title":"Towards better understanding of self-supervised representations","volume-title":"Proc. ICML Workshop Spurious Correlations, Invariance Stability","author":"Kalibhat"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/83\/10795784\/11026788.pdf?arnumber=11026788","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:43:58Z","timestamp":1750182238000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11026788\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":82,"URL":"https:\/\/doi.org\/10.1109\/tip.2025.3575183","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}