12 Result(s)
within
**hu Li
Mathematics
Image Processing and Computer Vision
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Chapter and Conference Paper
Longitudinal Parcellation of the Infant Cortex Using Multi-modal Connectome Harmonics
Functional segregation and specialization of cortical regions is central to the significant changes that take place during early brain development. We present an automated scheme that harnesses local and long-...
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Chapter and Conference Paper
Pretraining Improves Deep Learning Based Tissue Microstructure Estimation
Diffusion magnetic resonance imaging (dMRI) is commonly used to noninvasively estimate brain tissue microstructure, which provides important biomarkers for studying the structural changes of the brain. Due to the...
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Chapter and Conference Paper
Two Parallel Stages Deep Learning Network for Anterior Visual Pathway Segmentation
The segmentation of the anterior visual pathway(AVP) from MRI sequences is challenging because of the thin long architecture, structural variations along the path, and poor contrast with adjacent anatomic stru...
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Chapter
A Simple Recovery Framework for Signals with Time-Varying Sparse Support
Sparse recovery methods have been developed to solve multiple measurement vector (MMV) problems. These methods seek to reconstruct a collection of sparse signals from a small number of linear measurements, exp...
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Chapter and Conference Paper
q-Space Learning with Synthesized Training Data
q-Space learning has been developed to improve tissue microstructure estimation on diffusion magnetic resonance imaging (dMRI) scans when only a limited number of diffusion gradients are applied. However, the tra...
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Chapter and Conference Paper
Parcellation of Human Amygdala Subfields Using Orientation Distribution Function and Spectral K-means Clustering
Amygdala plays an important role in fear and emotional learning, which are critical for human survival. Despite the functional relevance and unique circuitry of each human amygdaloid subnuclei, there has yet t...
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Chapter and Conference Paper
Angular Resolution Enhancement of Diffusion MRI Data Using Inter-Subject Information Transfer
Diffusion magnetic resonance imaging is widely used to investigate diffusion patterns of water molecules in the human brain. It provides information that is useful for tracing axonal bundles and inferring brai...
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Chapter and Conference Paper
Super-Resolution Reconstruction of Diffusion-Weighted Images Using 4D Low-Rank and Total Variation
Diffusion-weighted imaging (DWI) provides invaluable information in white matter microstructure and is widely applied in neurological applications. However, DWI is largely limited by its relatively low spatial...
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Chapter and Conference Paper
Credit Scoring Based on Kernel Matching Pursuit
Credit risk is paid more and more attention by financial institutions, and credit scoring has become an active research topic. This paper proposes a new credit scoring method based on kernel matching pursuit (...
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Chapter and Conference Paper
Biweight Midcorrelation-Based Gene Differential Coexpression Analysis and Its Application to Type II Diabetes
Differential coexpression analysis usually requires the definition of ‘distance’ or ‘similarity’ between measured datasets, the most common choices being Pearson correlation. However, Pearson correlation is se...
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Chapter and Conference Paper
Learning KPCA for Face Recognition
Kernel principal component analysis (KPCA) is an effective method for face recognition. However, the expression of its final solution needs to take advantage of all training examples, such that its run in real...
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Chapter
Sparse Representation of Signals in Hardy Space
Mathematically, signals can be seen as functions in certain spaces. And processing is more efficient in a sparse representation where few coefficients reveal the information. Such representations are construct...
