Xue Hua
According to our database1,
Xue Hua
authored at least 28 papers
between 2008 and 2017.
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Bibliography
2017
Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications.
NeuroImage, 2017
2016
IEEE J. Sel. Top. Signal Process., 2016
Relative value of diverse brain MRI and blood-based biomarkers for predicting cognitive decline in the elderly.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
2015
Information-theoretic characterization of blood panel predictors for brain atrophy and cognitive decline in the elderly.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
NeuroImage, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Proceedings of the 10th IEEE International Conference on e-Science, 2014
2013
Unbiased tensor-based morphometry: Improved robustness and sample size estimates for Alzheimer's disease clinical trials.
NeuroImage, 2013
Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features.
NeuroImage, 2013
2012
Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression.
NeuroImage, 2012
Predicting temporal lobe volume on MRI from genotypes using L<sup>1</sup>-L<sup>2</sup> regularized regression.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
Accurate measurement of brain changes in longitudinal MRI scans using tensor-based morphometry.
NeuroImage, 2011
2010
The construction of a Chinese MRI brain atlas: A morphometric comparison study between Chinese and Caucasian cohorts.
NeuroImage, 2010
Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease.
NeuroImage, 2010
Mapping Alzheimer's disease progression in 1309 MRI scans: Power estimates for different inter-scan intervals.
NeuroImage, 2010
Ventricular maps in 804 subjects correlate with cognitive decline, CSF pathology, and imminent Alzheimer's disease.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Corrigendum to "Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls" [NeuroImage 43 (2008) 59-68].
NeuroImage, 2009
Alzheimer's Disease Neuroimaging Initiative: A one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition.
NeuroImage, 2009
Optimizing power to track brain degeneration in Alzheimer's disease and mild cognitive impairment with tensor-based morphometry: An ADNI study of 515 subjects.
NeuroImage, 2009
Mapping correlations between ventricular expansion and CSF amyloid and tau biomarkers in 240 subjects with Alzheimer's disease, mild cognitive impairment and elderly controls.
NeuroImage, 2009
Mapping ventricular expansion and its clinical correlates in Alzheimer's disease and mild cognitive impairment using multi-atlas fluid image alignment.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
2008
Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease mild cognitive impairment, and elderly controls.
NeuroImage, 2008
Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease: An MRI study of 676 AD, MCI, and normal subjects.
NeuroImage, 2008
3D characterization of brain atrophy in Alzheimer's disease and mild cognitive impairment using tensor-based morphometry.
NeuroImage, 2008
Validating unbiased registration on longitudinal MRI scans from the Alzheimer'S Disease neuroimaging initiative (ADNI).
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Mapping hippocampal degeneration in 400 subjects with a novel automated segmentation approach.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008