{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T07:52:05Z","timestamp":1725609125198},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,11,9]],"date-time":"2020-11-09T00:00:00Z","timestamp":1604880000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,11,9]],"date-time":"2020-11-09T00:00:00Z","timestamp":1604880000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,11,9]],"date-time":"2020-11-09T00:00:00Z","timestamp":1604880000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,11,9]]},"DOI":"10.1109\/ipta50016.2020.9286707","type":"proceedings-article","created":{"date-parts":[[2020,12,14]],"date-time":"2020-12-14T21:57:10Z","timestamp":1607983030000},"page":"1-6","source":"Crossref","is-referenced-by-count":1,"title":["Assigning a new glioma grade label ground-truth for the BraTS dataset using radiologic criteria"],"prefix":"10.1109","author":[{"given":"Paul","family":"Dequidt","sequence":"first","affiliation":[]},{"given":"Pascal","family":"Bourdon","sequence":"additional","affiliation":[]},{"given":"Benoit","family":"Tremblais","sequence":"additional","affiliation":[]},{"given":"Carole","family":"Guillevin","sequence":"additional","affiliation":[]},{"given":"Benoit","family":"Gianelli","sequence":"additional","affiliation":[]},{"given":"Claire","family":"Boutet","sequence":"additional","affiliation":[]},{"given":"Jean-Philippe","family":"Cottier","sequence":"additional","affiliation":[]},{"given":"Jean-Noel","family":"Vallee","sequence":"additional","affiliation":[]},{"given":"Christine","family":"Fernandez-Maloigne","sequence":"additional","affiliation":[]},{"given":"Remy","family":"Guillevin","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-55466-2"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.174.2.2153310"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2017151930"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1158\/1078-0432.CCR-17-0560"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmp.2019.03.014"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2377694"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2017.117"},{"article-title":"Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge","year":"2018","author":"bakas","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451682"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/2512037"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2018.06.009"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s00401-010-0725-7"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2018.00804"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.5982"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICABME47164.2019.8940295"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2018.10.004"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3171\/2011.9.JNS111068"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s00401-016-1545-1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1259\/bjr\/65711810"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2016.01.013"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1158\/0008-5472.CAN-17-0339"},{"article-title":"Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI","year":"2019","author":"banerjee","key":"ref21"},{"year":"0","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2012.05.001"}],"event":{"name":"2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)","start":{"date-parts":[[2020,11,9]]},"location":"Paris, France","end":{"date-parts":[[2020,11,12]]}},"container-title":["2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9286598\/9286601\/09286707.pdf?arnumber=9286707","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:50:37Z","timestamp":1656453037000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9286707\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,9]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/ipta50016.2020.9286707","relation":{},"subject":[],"published":{"date-parts":[[2020,11,9]]}}}