About: Bennett Landman

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An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

computer scientist and medical imaging researcher

Attributes	Values
rdf:type	Item
field of work	wds:Q86839269-194bbf04-4dcf-e91b-86e1-dcd31383af70 wds:Q86839269-2ca1c9d0-4ef7-c954-a56c-258209b9d7af wds:Q86839269-69dbfd0a-413e-3557-2505-9a7349369c2b wds:Q86839269-99ff390f-45b4-bd9d-8250-d92a84d7577d
field of work	medical imaging magnetic resonance imaging personalized medicine image analysis
description	onderzoeker (nl) computer scientist and medical imaging researcher (en)
rdfs:label	Bennett Landman (en) Bennett Landman (nl) Bennett Landman (sq)
skos:prefLabel	Bennett Landman (en) Bennett Landman (nl) Bennett Landman (sq)
name	Bennett Landman (en) Bennett Landman (nl) Bennett Landman (sq)
affiliation	wds:Q86839269-2711B21F-2E0A-4E66-A3A7-08DEF440E980 wds:Q86839269-F0EC7546-A669-47DC-BB5F-8EA6E5FD659F
affiliation	Vanderbilt Department of Electrical Engineering and Computer Science Vanderbilt Department of Biomedical Engineering
given name	wds:Q86839269-e6e74411-40cd-7560-e834-d916f1d5fdc7
given name	Bennett
instance of	wds:Q86839269-D690FCEC-B81F-401F-B8E9-513ECA0BB240
instance of	Homo sapiens
Loop ID	wds:Q86839269-6326F0E3-864A-450F-9253-BC44531FEADD
Loop ID	50236
academic appointment	wds:Q86839269-6f8c90d7-4884-6626-25d8-d9eb1b3f5ccd wds:Q86839269-cf910513-4331-aba3-ee8a-59abfa2ad47b wds:Q86839269-e06ef12d-41a4-7fee-3702-78ecfe5f8b56 wds:Q86839269-e938d57e-4396-639a-37a3-52cc42df7af7 wds:Q86839269-ee9c5846-4358-a781-625e-d56714506b08
academic appointment	Vanderbilt Department of Electrical Engineering and Computer Science Vanderbilt Department of Biomedical Informatics Vanderbilt Department of Biomedical Engineering Vanderbilt Department of Radiology Vanderbilt Department of Psychiatry and Behavioral Sciences
occupation	wds:Q86839269-2eae6ff3-43cc-c32f-4fe9-886efebe728e wds:Q86839269-4953c985-45a8-4ed2-9d7e-199a707012ae
employer	wds:Q86839269-C035547B-6FCF-4B12-B5BE-3724E3E1957D
sex or gender	wds:Q86839269-39A85142-4533-494D-B051-DAD4F5BD92C1
DBLP author ID	wds:Q86839269-C190D164-DB76-4C1E-8577-DE7758BD1F3A
educated at	wds:Q86839269-0d3778e0-4f7b-fcac-11b7-7b38160de9b4 wds:Q86839269-62b93fe1-46c4-4a1c-ba35-f4beb40765f9 wds:Q86839269-be15c3dd-40e9-0d06-2eb8-02d4c4dc829e
family name	wds:Q86839269-8813a3d8-4529-2bf7-8295-6ddf4148de60
DBLP author ID	https://dblp.org/pid/74/1206.rdf
occupation	university teacher computer scientist
employer	Vanderbilt University
sex or gender	male
DBLP author ID	74/1206
educated at	Johns Hopkins School of Medicine Massachusetts Institute of Technology
family name	Landman
ORCID iD	wds:Q86839269-2BDB30B7-65E9-4B9B-833D-F0A5ECB2434B
ORCID iD	https://orcid.org/0000-0001-5733-2127
ORCID iD	0000-0001-5733-2127
ResearcherID	wds:Q86839269-EEAA559F-4685-4B1A-8A50-4BAFF1E08D5A
Publons author ID	wds:Q86839269-BBB395B2-08FF-4E40-BE42-B9075A9904D3
ResearcherID	A-2343-2009
Publons author ID	1176941
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q86839269
is author of	Correcting power and p-value calculations for bias in diffusion tensor imaging q-space and conventional diffusion imaging of axon and myelin damage in the rat spinal cord after axotomy Diffusion tensor imaging reveals disease-specific deep cerebellar nuclear changes in cerebellar degeneration. Orthogonal diffusion-weighted MRI measures distinguish region-specific degeneration in cerebellar ataxia subtypes Functional networks in temporal-lobe epilepsy: a voxel-wise study of resting-state functional connectivity and gray-matter concentration The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data Multi-parametric neuroimaging reproducibility: a 3-T resource study Groupwise multi-atlas segmentation of the spinal cord's internal structure Reproducibility of tract-specific magnetization transfer and diffusion tensor imaging in the cervical spinal cord at 3 tesla Robust statistical label fusion through COnsensus Level, Labeler Accuracy, and Truth Estimation (COLLATE). Robust GM/WM segmentation of the spinal cord with iterative non-local statistical fusion Investigation of Bias in Continuous Medical Image Label Fusion Robust statistical fusion of image labels Finding Seeds for Segmentation Using Statistical Fusion Statistical Fusion of Continuous Labels: Identification of Cardiac Landmarks Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: a pilot project of the ENIGMA-DTI working group Treated and treatment-naive alcoholics come from different populations Baseline cardiovascular risk predicts subsequent changes in resting brain function Magnetic resonance connectome automated pipeline: an overview Heritability of fractional anisotropy in human white matter: a comparison of Human Connectome Project and ENIGMA-DTI data Quantifying the impact of underlying measurement error on cervical spinal cord diffusion tensor imaging at 3T. Next Generation of the Java Image Science Toolkit (JIST): Visualization and Validation Diffusion tensor imaging at low SNR: nonmonotonic behaviors of tensor contrasts Estimation and application of spatially variable noise fields in diffusion tensor imaging. Robust estimation of spatially variable noise fields Water saturation shift referencing (WASSR) for chemical exchange saturation transfer (CEST) experiments Development of chemical exchange saturation transfer at 7 T Brain atrophy in long-term abstinent alcoholics who demonstrate impairment on a simulated gambling task Vanderbilt University Institute of Imaging Science Center for Computational Imaging XNAT: A multimodal data archive and processing environment The Java Image Science Toolkit (JIST) for rapid prototyping and publishing of neuroimaging software Assessment of bias in experimentally measured diffusion tensor imaging parameters using SIMEX Simultaneous analysis and quality assurance for diffusion tensor imaging Integration of XNAT/PACS, DICOM, and Research Software for Automated Multi-modal Image Analysis Evaluation of Atlas-Based White Matter Segmentation with Eve

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