https://m2.mtmt.hu/hun2024-03-29 06:44JournalArticle32029513VALIDATEDtrueDepartment of Statistics, University of Oxford, Oxford, OX1 3LB, United Kingdom
Department of Statistics, University of Warwick, Coventry, CV4 7AL, United Kingdom
The Alan Turing Institute, London, NW1 2DB, United Kingdom
Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of OxfordOX3 7LF, United Kingdom
Export Date: 17 September 2021
CODEN: NEIME
Correspondence Address: Nichols, T.E.; Big Data Institute, United Kingdom; email: thomas.nichols@bdi.ox.ac.uk
Funding details: Wellcome Trust, WT, 100309/Z/12/Z
Funding details: Alan Turing Institute, EP/N510129/1
Funding details: Medical Research Council, MRC, EP/L016710/1
Funding details: Engineering and Physical Sciences Research Council, EPSRC
Funding details: National Institute for Health Research, NIHR, 203141/Z/16/Z
Funding text 1: PK is funded by EPSRC and MRC for Doctoral Training in Next Generation Statistical Science: The Oxford-Warwick Statistics Programme (EP/L016710/1). IK is supported by The Alan Turing Institute under the EPSRC grant EP/N510129/1 . TEN is supported by the Wellcome Trust ( 100309/Z/12/Z ). Computation used the BMRC facility, a joint development between the Wellcome Centre for Human Genetics and the Big Data Institute supported by the NIHR Oxford BRC. Financial support was provided by the Wellcome Trust Core Award Grant Number 203141/Z/16/Z . The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health.
Funding text 2: PK is funded by EPSRC and MRC for Doctoral Training in Next Generation Statistical Science: The Oxford-Warwick Statistics Programme (EP/L016710/1). IK is supported by The Alan Turing Institute under the EPSRC grant EP/N510129/1. TEN is supported by the Wellcome Trust (100309/Z/12/Z). Computation used the BMRC facility, a joint development between the Wellcome Centre for Human Genetics and the Big Data Institute supported by the NIHR Oxford BRC. Financial support was provided by the Wellcome Trust Core Award Grant Number 203141/Z/16/Z. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health.0false2022-12-21T12:25:43.723+00002022-08-05T06:37:00.369+00002021-05-21T10:38:54.050+0000true10063762TóthAndrea
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<div class="JournalArticle Publication short-list"> <div class="authors"> <span class="author-name" > Kindalova, Petya </span> <span class="author-type"> </span> ; <span class="author-name" > Kosmidis, Ioannis </span> <span class="author-type"> </span> ; <span class="author-name" > Nichols, Thomas E. </span> <span class="author-type"> </span> </div ><div class="title"><a href="/gui2/?mode=browse¶ms=publication;32029513" mtid="32029513" target="_blank">Voxel-wise and spatial modelling of binary lesion masks: Comparison of methods with a realistic simulation framework</a></div> <div class="pub-info"> <span class="journal-title">NEUROIMAGE</span> <span class="journal-volume">236</span> <span class="page"> Paper: 118090 </span> <span class="year">(2021)</span> </div> <div class="pub-end"><div class="identifier-list"> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1016/j.neuroimage.2021.118090" target="_blank" href="https://doi.org/10.1016/j.neuroimage.2021.118090"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000668960100009" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000668960100009"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85105513357" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85105513357"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="33895308" target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=33895308&dopt=Abstract"> PubMed </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://linkinghub.elsevier.com/retrieve/pii/S1053811921003670" target="_blank" href="https://linkinghub.elsevier.com/retrieve/pii/S1053811921003670"> Egyéb URL </a> </span> <span class="id identifier oa_GREEN" title=" Green "> <a style="color:black" title="PMC8752964" target="_blank" href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752964"> Pubmed Central </a> </span> </span> </div> <div class="short-pub-prop-list"> <span class="short-pub-mtid"> Közlemény:32029513 </span> <span class="status-holder"><span class="status-data status-VALIDATED"> Egyeztetett </span></span> <span class="pub-core"> Idéző </span> <span class="pub-type">Folyóiratcikk (Szakcikk ) </span> <!-- && !record.category.scientific --> <span class="pub-category">Tudományos</span> </div> </div> </div><div class="JournalArticle Publication long-list">
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<span class="author-name" >Kosmidis Ioannis
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<span class="author-name" >Nichols Thomas E.
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<div class="title"><a href="/gui2/?mode=browse¶ms=publication;32029513" target="_blank">Voxel-wise and spatial modelling of binary lesion masks: Comparison of methods with a realistic simulation framework</a></div> <div> <span class="journal-title">NEUROIMAGE</span>
<span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/1053-8119">1053-8119</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1095-9572">1095-9572</a>)</span>:
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Paper 118090.
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Idézett közlemények száma: 2
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<div class="mtid"><span class="long-pub-mtid">Közlemény: 32029513</span>
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<div class="lastModified">Utolsó módosítás: 2022.08.05. 08:37 Tóth Péter (SZTE admin5)
</div>
<pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: Department of Statistics, University of Oxford, Oxford, OX1 3LB, United Kingdom
Department of Statistics, University of Warwick, Coventry, CV4 7AL, United Kingdom
The Alan Turing Institute, London, NW1 2DB, United Kingdom
Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Pop...</pre>
</div></div>