{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:09:51Z","timestamp":1740100191583,"version":"3.37.3"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009950","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009950","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,19]]},"DOI":"10.1109\/icip42928.2021.9506741","type":"proceedings-article","created":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T21:08:41Z","timestamp":1629752921000},"page":"150-154","source":"Crossref","is-referenced-by-count":3,"title":["KINET: A Non-Invasive Method For Predicting Ki67 Index Of Glioma"],"prefix":"10.1109","author":[{"given":"Xuhui","family":"Li","sequence":"first","affiliation":[{"name":"Central South University,School of Automation,Changsha,China"}]},{"given":"Yong","family":"Xu","sequence":"additional","affiliation":[{"name":"Central South University,School of Automation,Changsha,China"}]},{"given":"Feng","family":"Xiang","sequence":"additional","affiliation":[{"name":"Xiangya Hospital of Central South University,Department of Neurosurgery,Changsha,China"}]},{"given":"Qing","family":"Liu","sequence":"additional","affiliation":[{"name":"Xiangya Hospital of Central South University,Department of Neurosurgery,Changsha,China"}]},{"given":"Weihong","family":"Huang","sequence":"additional","affiliation":[{"name":"Mobile Health Ministry of Education-China Mobile Joint Laboratory,Changsha,China"}]},{"given":"Bin","family":"Xie","sequence":"additional","affiliation":[{"name":"Central South University,School of Automation,Changsha,China"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1158\/1078-0432.CCR-17-2236"},{"key":"ref11","first-page":"402","article-title":"A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas[J]","volume":"22","author":"bangalore yogananda","year":"2020","journal-title":"Neuro-Oncology"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1093\/neuonc\/now121"},{"key":"ref13","first-page":"0","article-title":"Centralnet: a multilayer approach for multimodal fusion[C]","author":"vielzeuf","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2019.2900378"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s00401-016-1545-1"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290985"},{"key":"ref17","article-title":"Resnest: Split-attention networks[J]","author":"zhang","year":"2020","journal-title":"arXiv preprint arXiv 2004 06774"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2016.05.004"},{"key":"ref4","first-page":"1637","article-title":"Gliomas: correlation of histologic grade, Ki67 and p53 expression with patient survival[J]","volume":"11","author":"arshad","year":"2010","journal-title":"Asian Pac J Cancer Prev"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2013.2291703"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3892\/mmr.2014.2914"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1136\/mp.48.4.M191"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/nature07385"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/modpathol.2014.156"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1407279"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(18)30990-5"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.14131731"}],"event":{"name":"2021 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2021,9,19]]},"location":"Anchorage, AK, USA","end":{"date-parts":[[2021,9,22]]}},"container-title":["2021 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9506008\/9506009\/09506741.pdf?arnumber=9506741","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T21:10:29Z","timestamp":1655154629000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9506741\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,19]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icip42928.2021.9506741","relation":{},"subject":[],"published":{"date-parts":[[2021,9,19]]}}}