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Gerard R. Ridgway
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- affiliation: University College London, UK
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2020 – today
- 2021
- [c21]Zobair Arya, Ged Ridgway, Arun Jandor, Paul Aljabar:
Deep Learning-Based Landmark Localisation in the Liver for Couinaud Segmentation. MIUA 2021: 227-237 - 2020
- [c20]Nora Vogt, Michael Brady, Ged Ridgway, John Connell
, Ana I. L. Namburete
Segmenting Hepatocellular Carcinoma in Multi-phase CT. MIUA 2020: 82-92 - [c19]George P. Ralli
Segmentation of the Biliary Tree from MRCP Images via the Monogenic Signal. MIUA 2020: 105-117 - [c18]Alexandre Triay Bagur
Pancreas Segmentation-Derived Biomarkers: Volume and Shape Metrics in the UK Biobank Imaging Study. MIUA 2020: 131-142
2010 – 2019
- 2019
- [j32]Jinendra Ekanayake
Volitional modulation of higher-order visual cortex alters human perception. NeuroImage 188: 291-301 (2019) - [c17]James Owler, Ben Irving, Ged Ridgway, Marta Wojciechowska
Comparison of Multi-atlas Segmentation and U-Net Approaches for Automated 3D Liver Delineation in MRI. MIUA 2019: 478-488 - 2018
- [j31]Jinendra Ekanayake
Real-time decoding of covert attention in higher-order visual areas. NeuroImage 169: 462-472 (2018) - [c16]Ged Ridgway, Kamil Janowski
Voxel-Wise Analysis of Paediatric Liver MRI. MIUA 2018: 57-62 - 2017
- [j30]David A. Raffelt, Jacques-Donald Tournier, Robert E. Smith, David N. Vaughan
Investigating white matter fibre density and morphology using fixel-based analysis. NeuroImage 144: 58-73 (2017) - [j29]Gabriel Ziegler, Gerard R. Ridgway
Multivariate dynamical modelling of structural change during development. NeuroImage 147: 746-762 (2017) - 2016
- [j28]Anderson M. Winkler
Faster permutation inference in brain imaging. NeuroImage 141: 502-516 (2016) - 2015
- [j27]Ian B. Malone
Accurate automatic estimation of total intracranial volume: A nuisance variable with less nuisance. NeuroImage 104: 366-372 (2015) - [j26]David A. Raffelt
Connectivity-based fixel enhancement: Whole-brain statistical analysis of diffusion MRI measures in the presence of crossing fibres. NeuroImage 117: 40-55 (2015) - [j25]Gabriel Ziegler, William D. Penny, Gerard R. Ridgway
Estimating anatomical trajectories with Bayesian mixed-effects modeling. NeuroImage 121: 51-68 (2015) - 2014
- [j24]Arman Eshaghi
Temporal and spatial evolution of grey matter atrophy in primary progressive multiple sclerosis. NeuroImage 86: 257-264 (2014) - [j23]Anderson M. Winkler
Permutation inference for the general linear model. NeuroImage 92: 381-397 (2014) - [j22]Gabriel Ziegler, Gerard R. Ridgway
Individualized Gaussian process-based prediction and detection of local and global gray matter abnormalities in elderly subjects. NeuroImage 97: 333-348 (2014) - 2013
- [j21]Gareth R. Barnes
Set-level threshold-free tests on the intrinsic volumes of SPMs. NeuroImage 68: 133-140 (2013) - [j20]Ian B. Malone
MIRIAD - Public release of a multiple time point Alzheimer's MR imaging dataset. NeuroImage 70: 33-36 (2013) - 2012
- [j19]Gerard R. Ridgway
The problem of low variance voxels in statistical parametric mapping; a new hat avoids a 'haircut'. NeuroImage 59(3): 2131-2141 (2012) - [j18]David Raffelt
Apparent Fibre Density: A novel measure for the analysis of diffusion-weighted magnetic resonance images. NeuroImage 59(4): 3976-3994 (2012) - [j17]Kelvin K. Leung, Gerard R. Ridgway
Consistent multi-time-point brain atrophy estimation from the boundary shift integral. NeuroImage 59(4): 3995-4005 (2012) - [j16]Johanna C. Goll, Gerard R. Ridgway
Nonverbal sound processing in semantic dementia: A functional MRI study. NeuroImage 61(1): 170-180 (2012) - [c15]Jonathan Young, Gerard R. Ridgway
Classification of Alzheimer's disease patients with hippocampal shape, wrapper based feature selection and support vector machine. Medical Imaging: Image Processing 2012: 83140Q - [c14]Marc Modat
Parametric non-rigid registration using a stationary velocity field. MMBIA 2012: 145-150 - 2011
- [j15]Kelvin K. Leung, Josephine Barnes
Brain MAPS: An automated, accurate and robust brain extraction technique using a template library. NeuroImage 55(3): 1091-1108 (2011) - [j14]Jörn Diedrichsen
Comparing the similarity and spatial structure of neural representations: A pattern-component model. NeuroImage 55(4): 1665-1678 (2011) - [j13]Manuel Jorge Cardoso
LoAd: A locally adaptive cortical segmentation algorithm. NeuroImage 56(3): 1386-1397 (2011) - [j12]Nick C. Fox
Algorithms, atrophy and Alzheimer's disease: Cautionary tales for clinical trials. NeuroImage 57(1): 15-18 (2011) - [j11]Matthew J. Clarkson
A comparison of voxel and surface based cortical thickness estimation methods. NeuroImage 57(3): 856-865 (2011) - [c13]Matthew J. Clarkson
Cross-sectional analysis using voxel or surface based cortical thickness methods: A comparison study. ISBI 2011: 381-384 - [c12]Kelvin K. Leung, Josephine Barnes
Automated brain extraction using Multi-Atlas Propagation and Segmentation (MAPS). ISBI 2011: 2053-2056 - [c11]Marc Modat
Log-Euclidean free-form deformation. Medical Imaging: Image Processing 2011: 79621Q - 2010
- [j10]Marc Modat
Fast free-form deformation using graphics processing units. Comput. Methods Programs Biomed. 98(3): 278-284 (2010) - [j9]Jonathan D. Rohrer
Progressive logopenic/phonological aphasia: Erosion of the language network. NeuroImage 49(1): 984-993 (2010) - [j8]Kelvin K. Leung, Josephine Barnes
Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease. NeuroImage 51(4): 1345-1359 (2010) - [j7]Jonathan D. Rohrer
Distinct profiles of brain atrophy in frontotemporal lobar degeneration caused by progranulin and tau mutations. NeuroImage 53(3): 1070-1076 (2010) - [j6]Josephine Barnes
Head size, age and gender adjustment in MRI studies: a necessary nuisance? NeuroImage 53(4): 1244-1255 (2010) - [c10]Marc Modat
Nonrigid registration with differential bias correction using normalised mutual information. ISBI 2010: 356-359 - [c9]Manuel Jorge Cardoso
Locally weighted Markov random fields for cortical segmentation. ISBI 2010: 956-959 - [c8]Kelvin K. Leung, Kai-Kai Shen
Increasing Power to Predict Mild Cognitive Impairment Conversion to Alzheimer's Disease Using Hippocampal Atrophy Rate and Statistical Shape Models. MICCAI (2) 2010: 125-132 - [c7]Marc Modat
Diffeomorphic demons using normalized mutual information, evaluation on multimodal brain MR images. Medical Imaging: Image Processing 2010: 76232K - [c6]Andrew Melbourne, Gerard R. Ridgway
Image similarity metrics in image registration. Medical Imaging: Image Processing 2010: 762335 - [c5]Marc Modat
Nonlinear Elastic Spline Registration: Evaluation with Longitudinal Huntington's Disease Data. WBIR 2010: 128-139
2000 – 2009
- 2009
- [j5]Gerard R. Ridgway
Issues with threshold masking in voxel-based morphometry of atrophied brains. NeuroImage 44(1): 99-111 (2009) - [c4]Manuel Jorge Cardoso
Improved Maximum a Posteriori Cortical Segmentation by Iterative Relaxation of Priors. MICCAI (1) 2009: 441-449 - [c3]Marc Modat
A parallel-friendly normalized mutual information gradient for free-form registration. Medical Imaging: Image Processing 2009: 72590L - 2008
- [j4]Gerard R. Ridgway
Ten simple rules for reporting voxel-based morphometry studies. NeuroImage 40(4): 1429-1435 (2008) - [j3]Oscar Camara
Accuracy assessment of global and local atrophy measurement techniques with realistic simulated longitudinal Alzheimer's disease images. NeuroImage 42(2): 696-709 (2008) - 2007
- [j2]Gerard R. Ridgway
Bayesian Image Modeling of cDNA Microarray Spots. IEEE Signal Process. Lett. 14(10): 653-656 (2007) - [c2]Oscar Camara, Rachael I. Scahill
Accuracy Assessment of Global and Local Atrophy Measurement Techniques with Realistic Simulated Longitudinal Data. MICCAI (2) 2007: 785-792 - 2006
- [j1]Oscar Camara
Phenomenological Model of Diffuse Global and Regional Atrophy Using Finite-Element Methods. IEEE Trans. Medical Imaging 25(11): 1417-1430 (2006) - [c1]Oscar Camara-Rey, Beatrix I. Sneller, Gerard R. Ridgway, Ellen Garde, Nick C. Fox, Derek L. G. Hill:
Simulation of Acquisition Artefacts in MR Scans: Effects on Automatic Measures of Brain Atrophy. MICCAI (1) 2006: 272-280
Coauthor Index
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