about
Differential diagnosis of neurodegenerative diseases using structural MRI dataFive-class differential diagnostics of neurodegenerative diseases using random undersampling boosting.Brain Extraction Using Label Propagation and Group Agreement: Pincram.Learning Biomarker Models for Progression Estimation of Alzheimer's Disease.Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge.Instantiated mixed effects modeling of Alzheimer's disease markers.Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI.A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease.Dynamic Changes in White Matter Abnormalities Correlate With Late Improvement and Deterioration Following TBI: A Diffusion Tensor Imaging Study.Correction: Brain Extraction Using Label Propagation and Group Agreement: PincramAutomatic whole brain MRI segmentation of the developing neonatal brain.Multi-atlas segmentation with augmented features for cardiac MR images.A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks.Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging.Robust whole-brain segmentation: application to traumatic brain injury.Automatic quantification of normal cortical folding patterns from fetal brain MRI.Pseudo-healthy Image Synthesis for White Matter Lesion SegmentationA Semi-supervised Large Margin Algorithm for White Matter Hyperintensity SegmentationDifferential Dementia Diagnosis on Incomplete Data with Latent TreesStructural brain imaging in Alzheimer's disease and mild cognitive impairment: biomarker analysis and shared morphometry databaseConstruction of a 4D Brain Atlas and Growth Model Using Diffeomorphic RegistrationGroup-constrained manifold learning: Application to AD risk assessmentPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial NetworkReal-Time Video Super-Resolution with Spatio-Temporal Networks and Motion CompensationUnsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial NetworksA robust similarity measure for volumetric image registration with outliersDeepMedic for Brain Tumor SegmentationRegression analysis for assessment of myelination status in preterm brains with magnetic resonance imagingGroup-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker LearningMulti-stage Biomarker Models for Progression Estimation in Alzheimer’s DiseaseMulti-atlas Spectral PatchMatch: Application to Cardiac Image SegmentationPatch-Based Evaluation of Image SegmentationCardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatchImproving whole-brain segmentations through incorporating regional image intensity statisticsHippocampal atrophy rate using an expectation maximization classifier with a disease-specific priorMulti-class brain segmentation using atlas propagation and EM-based refinementQuantitative assessment of myelination patterns in preterm neonates using T2-weighted MRI
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description
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Christian Ledig
@ast
Christian Ledig
@en
Christian Ledig
@es
Christian Ledig
@nl
Christian Ledig
@sl
type
label
Christian Ledig
@ast
Christian Ledig
@en
Christian Ledig
@es
Christian Ledig
@nl
Christian Ledig
@sl
prefLabel
Christian Ledig
@ast
Christian Ledig
@en
Christian Ledig
@es
Christian Ledig
@nl
Christian Ledig
@sl
P106
P1153
55332432900
P21
P2456
P31
P496
0000-0003-4862-3138