乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T08:45:48Z","timestamp":1742805948492,"version":"3.37.3"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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 Funds of China","doi-asserted-by":"publisher","award":["62088102","62021002"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tip.2021.3139229","type":"journal-article","created":{"date-parts":[[2022,1,4]],"date-time":"2022-01-04T20:31:13Z","timestamp":1641328273000},"page":"1149-1160","source":"Crossref","is-referenced-by-count":30,"title":["Big-Hypergraph Factorization Neural Network for Survival Prediction From Whole Slide Image"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2270-3378","authenticated-orcid":false,"given":"Donglin","family":"Di","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5579-7094","authenticated-orcid":false,"given":"Jun","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Fuqiang","family":"Lei","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7252-5047","authenticated-orcid":false,"given":"Qi","family":"Tian","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4971-590X","authenticated-orcid":false,"given":"Yue","family":"Gao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0052-1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-23937-4_2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2891305"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.4103\/jpi.jpi_64_19"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-75708-z"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00934-2_20"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66185-8_46"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2016.7822579"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.725"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101789"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32239-7_55"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59722-1_41"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32239-7_61"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00502"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00489"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3039374"},{"key":"ref17","first-page":"1","article-title":"On size generalization in graph neural networks","volume-title":"Proc. ICLR","author":"Yehudai"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403142"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI48211.2021.9434036"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101910"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2019.101663"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1117\/12.2543089"},{"key":"ref23","first-page":"81","article-title":"From ranknet to lambdarank to lambdamart: An overview","volume":"11","author":"Burges","year":"2010","journal-title":"Learning"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273513"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1561\/1500000016"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.2307\/2281868"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/nature12634"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1258\/jms.2011.011055"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1002\/SERIES1345"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-4348-9"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/0021-9681(58)90126-7"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1972.tb00899.x"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0258(19970228)16:4<385::AID-SIM380>3.0.CO;2-3"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.2307\/1267352"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00503.x"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.4310\/SII.2013.v6.n2.a1"},{"key":"ref37","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1002730"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59722-1_46"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.266"},{"key":"ref41","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. ICLR","author":"Kipf"},{"key":"ref42","article-title":"Graph attention networks","author":"Cucurull","year":"2017","journal-title":"arXiv:1710.10903"},{"key":"ref43","first-page":"1024","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Hamilton"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013558"},{"key":"ref45","first-page":"343","article-title":"A review of clinical prediction models","volume":"36","author":"Reddy","year":"2015","journal-title":"Healthcare Data Anal."},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1979.4310076"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-21758-3"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6170"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271784"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/582415.582418"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1111\/j.0006-341X.2005.030814.x"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.10.010"},{"issue":"1","key":"ref54","doi-asserted-by":"crossref","first-page":"27","DOI":"10.4103\/2153-3539.119005","article-title":"OpenSlide: A vendor-neutral software foundation for digital pathology","volume":"4","author":"Satyanarayanan","year":"2013","journal-title":"J. Pathol. Informat."},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1985.6313426"},{"key":"ref57","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Vaswani"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9626658\/09667788.pdf?arnumber=9667788","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T22:00:28Z","timestamp":1705183228000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9667788\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":57,"URL":"https:\/\/doi.org\/10.1109\/tip.2021.3139229","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"type":"print","value":"1057-7149"},{"type":"electronic","value":"1941-0042"}],"subject":[],"published":{"date-parts":[[2022]]}}}