About: Patient-specific semi-supervised learning for postoperative brain tumor segmentation

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About: Patient-specific semi-supervised learning for postoperative brain tumor segmentation Goto Sponge NotDistinct Permalink

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scientific article published on 01 January 2014

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) научна статия (bg) 2014 թվականին հրատարակված գիտական հոդված (hy) наукова стаття, опублікована в січні 2014 (uk) article scientifique publié en 2014 (fr) artículu científicu espublizáu en xineru de 2014 (ast) artikull shkencor i botuar më 01 janar 2014 (sq) scientific article published on 01 January 2014 (en)
publication date	wds:Q85836090-D87BFF43-9471-42B8-9FA1-B9D5975214BF
publication date	2014-01-01 00:00:00Z (xsd:dateTime)
cites work	wds:Q85836090-2321213B-675D-4971-B9B7-B0AE639B8FF4 wds:Q85836090-A04A1FD8-99EF-49E5-BFC7-A4C8BA91903C wds:Q85836090-C0A0A963-ACFA-40B2-B102-6F019234F0FA wds:Q85836090-EEE0E575-2E9D-4527-B477-AACCFFA00914 wds:Q85836090-F6CE74C7-43B0-4721-AAAA-7222F51182CC
cites work	An extent of resection threshold for newly diagnosed glioblastomas A survey of MRI-based medical image analysis for brain tumor studies Intraobserver and interobserver agreement in volumetric assessment of glioblastoma multiforme resection A novel method for volumetric MRI response assessment of enhancing brain tumors Imaging genomic mapping in glioblastoma
author name string	wds:Q85836090-352DCCEB-7597-4681-8313-7ED71E3E040A wds:Q85836090-3EDA75F6-4FCC-4538-B859-19456579A9A1 wds:Q85836090-570B52F8-25FF-49EB-A126-FA76FF83E4E9 wds:Q85836090-D2538E00-36D0-4ED8-B8CD-9A66CA1DE912
author name string	Stefan Bauer Mauricio Reyes Johannes Slotboom Raphael Meier
rdfs:label	Patient-specific semi-supervised learning for postoperative brain tumor segmentation (en) Patient-specific semi-supervised learning for postoperative brain tumor segmentation (nl) Patient-specific semi-supervised learning for postoperative brain tumor segmentation (sq)
skos:prefLabel	Patient-specific semi-supervised learning for postoperative brain tumor segmentation (en) Patient-specific semi-supervised learning for postoperative brain tumor segmentation (nl) Patient-specific semi-supervised learning for postoperative brain tumor segmentation (sq)
name	Patient-specific semi-supervised learning for postoperative brain tumor segmentation (en) Patient-specific semi-supervised learning for postoperative brain tumor segmentation (nl) Patient-specific semi-supervised learning for postoperative brain tumor segmentation (sq)
author	wds:Q85836090-4AF857F3-C320-4269-AE6E-95007E3D85B3
author	Roland Wiest
title	wds:Q85836090-5ABB7F1D-1677-4ED1-9513-040EC62061A6
title	Patient-specific semi-supervised learning for postoperative brain tumor segmentation (en)
page(s)	wds:Q85836090-D3834808-4EAA-4BEB-97E0-23A2387D7284
page(s)	714-721
instance of	wds:Q85836090-1349A750-457C-4165-9663-813B8CF62726
instance of	scholarly article
main subject	wds:Q85836090-1FB1A329-1DA9-482E-A41A-FA8943BC93B3 wds:Q85836090-44A2C89F-378D-42A9-9208-B1CAB96C9A98
main subject	brain tumor semi-supervised learning
PubMed ID	wds:Q85836090-62F79704-713F-45A6-8121-EA3A63070F9A
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/25333182
PubMed ID	25333182
DBLP publication ID	wds:Q85836090-445F4E6E-FE4D-4797-8453-B4D94FC17B59
DBLP publication ID	https://dblp.org/rec/conf/miccai/MeierBSWR14
DBLP publication ID	conf/miccai/MeierBSWR14
issue	wds:Q85836090-D1C62DC6-C5C0-4068-839A-688FEF054DC6
volume	wds:Q85836090-DE35265F-845B-4C8D-BADF-CA41E3A4C2B6
issue	Pt 1
volume	17
DOI	wds:Q85836090-8B0F2F0A-A503-48C4-B694-8F545CE5154A
DOI	http://dx.doi.org/10.1007/978-3-319-10404-1_89
DOI	10.1007/978-3-319-10404-1_89
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q85836090
is cites work of	Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry Computer-based radiological longitudinal evaluation of meningiomas following stereotactic radiosurgery Fully automated stroke tissue estimation using random forest classifiers (FASTER). Fully automated brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning
is cites work of	wds:Q36713514-022A153B-D0E5-402A-929E-18E20D379ABA wds:Q46736447-FCC57032-D479-4CA1-AE79-748F0BF9DB62 wds:Q48449341-43F710B0-4954-4F29-BF36-38E46AEDEFB5 wds:Q35843978-7DD9E793-0ED5-4254-B22B-B58894015EC9 wds:Q94586032-A0D4C779-BFC2-4EBC-B1FC-849844AE1B58

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