Articoli con mandati relativi all'accesso pubblico - Mark JenkinsonUlteriori informazioni
TotaleWellcomeNIHRMRCNIHEPSRCEuropean CommissionParkinson's UKBHFAlzheimers's UKCancer Research UKBBSRCNHMRCNWOMotor Neurone Disease Association, UKGoverno ItalianoDMTESRCZonMwHealth Data Research, UKGatesARCCIHRDFGAcademy of FinlandAcademy of Medical Sciences, UKStroke Association, UKDOESFIMultiple Sclerosis Society, UKGovernment of SpainAutism Speaks Inc, USANSFDoDFWFINSERMFormasSwedish Research CouncilA*StarNERCRCNNMRCUK Research & InnovationLeducq Foundation, USARoyal Society UKNordforskMedical Research Future Fund, AustraliaSNSFVAHHMIFWOHSFNSFCHelmholtzDNATFDSFFCTFORTEBank of Sweden Tercentenary FoundationANRBMBFKNAWDHFResearch Grants Council, Hong KongJDRFMelanoma Research AllianceNAWA
Non disponibili pubblicamente: 7
Assessment of physiological noise modelling methods for functional imaging of the spinal cord
Y Kong, M Jenkinson, J Andersson, I Tracey, JCW Brooks
Neuroimage 60 (2), 1538-1549, 2012
Mandati: US National Institutes of Health
Globally optimal deformable registration on a minimum spanning tree using dense displacement sampling
MP Heinrich, M Jenkinson, SM Brady, JA Schnabel
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012: 15th …, 2012
Mandati: Cancer Research UK
Cortical plate segmentation using CNNs in 3D fetal ultrasound
MK Wyburd, M Jenkinson, AIL Namburete
Annual Conference on Medical Image Understanding and Analysis, 56-68, 2020
Mandati: UK Engineering and Physical Sciences Research Council, UK Medical Research …
Construction of a neonatal cortical surface atlas using multimodal surface matching
J Bozek, S Fitzgibbon, R Wright, D Rueckert, M Jenkinson, EC Robinson
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 775-778, 2016
Mandati: European Commission
Omni-supervised domain adversarial training for white matter hyperintensity segmentation in the uk biobank
V Sundaresan, NK Dinsdale, M Jenkinson, L Griffanti
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4, 2022
Mandati: UK Engineering and Physical Sciences Research Council, UK Medical Research …
Iterative dual LDA: a novel classification algorithm for resting state fMRI
Z Arya, L Griffanti, CE Mackay, M Jenkinson
International Workshop on Machine Learning in Medical Imaging, 279-286, 2016
Mandati: UK Engineering and Physical Sciences Research Council, National Institute …
Deep learning for reliable detection of epileptogenic lesions
M Pedersen, K Verspoor, DF Abbott, M Jenkinson, B Sinclair, M Law, ...
Augmenting Neurological Disorder Prediction and Rehabilitation Using …, 2022
Mandati: National Health and Medical Research Council, Australia, National Institute …
Disponibili pubblicamente: 161
The minimal preprocessing pipelines for the Human Connectome Project
MF Glasser, SN Sotiropoulos, JA Wilson, TS Coalson, B Fischl, ...
Neuroimage 80, 105-124, 2013
Mandati: US National Institutes of Health, UK Biotechnology and Biological Sciences …
A multi-modal parcellation of human cerebral cortex
MF Glasser, TS Coalson, EC Robinson, CD Hacker, J Harwell, E Yacoub, ...
Nature 536 (7615), 171-178, 2016
Mandati: US National Institutes of Health, Wellcome Trust
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration
A Klein, J Andersson, BA Ardekani, J Ashburner, B Avants, MC Chiang, ...
Neuroimage 46 (3), 786-802, 2009
Mandati: US National Institutes of Health
A Bayesian model of shape and appearance for subcortical brain segmentation
B Patenaude, SM Smith, DN Kennedy, M Jenkinson
Neuroimage 56 (3), 907-922, 2011
Mandati: US National Institutes of Health
Multimodal population brain imaging in the UK Biobank prospective epidemiological study
KL Miller, F Alfaro-Almagro, NK Bangerter, DL Thomas, E Yacoub, J Xu, ...
Nature neuroscience 19 (11), 1523-1536, 2016
Mandati: UK Engineering and Physical Sciences Research Council, UK Medical Research …
Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank
F Alfaro-Almagro, M Jenkinson, NK Bangerter, JLR Andersson, L Griffanti, ...
Neuroimage 166, 400-424, 2018
Mandati: US National Institutes of Health, UK Engineering and Physical Sciences …
Functional connectomics from resting-state fMRI
SM Smith, D Vidaurre, CF Beckmann, MF Glasser, M Jenkinson, KL Miller, ...
Trends in cognitive sciences 17 (12), 666-682, 2013
Mandati: US National Institutes of Health, Wellcome Trust
Advances in diffusion MRI acquisition and processing in the Human Connectome Project
SN Sotiropoulos, S Jbabdi, J Xu, JL Andersson, S Moeller, EJ Auerbach, ...
Neuroimage 80, 125-143, 2013
Mandati: US National Institutes of Health, UK Medical Research Council, Wellcome Trust
The human connectome project's neuroimaging approach
MF Glasser, SM Smith, DS Marcus, JLR Andersson, EJ Auerbach, ...
Nature neuroscience 19 (9), 1175-1187, 2016
Mandati: US National Institutes of Health, UK Engineering and Physical Sciences …
Common genetic variants influence human subcortical brain structures
DP Hibar, JL Stein, ME Renteria, A Arias-Vasquez, S Desrivières, ...
Nature 520 (7546), 224-229, 2015
Mandati: US National Institutes of Health, UK Biotechnology and Biological Sciences …
Temporally-independent functional modes of spontaneous brain activity
SM Smith, KL Miller, S Moeller, J Xu, EJ Auerbach, MW Woolrich, ...
Proceedings of the National Academy of Sciences 109 (8), 3131-3136, 2012
Mandati: US National Institutes of Health
MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration
MP Heinrich, M Jenkinson, M Bhushan, T Matin, FV Gleeson, M Brady, ...
Medical image analysis 16 (7), 1423-1435, 2012
Mandati: Cancer Research UK
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
PM Thompson, JL Stein, SE Medland, DP Hibar, AA Vasquez, ...
Brain imaging and behavior 8, 153-182, 2014
Mandati: US National Institutes of Health, UK Biotechnology and Biological Sciences …
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