2. 您的位置
3. 首页
4. 会议论文
5. Fiber orientation distribution estimation by spherical needlets

Fiber orientation distribution estimation by spherical needlets

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：riyueshen1969

【摘 要】

：

We present a novel method for estimation of the fiber orientation distribution(FOD)function based on diffusion-weighted Magnetic Resonance Imaging(D-MRI)data.

【作 者】

：

Hao Yan Debashis Paul Owen Carmichael Jie Peng 

【机 构】

：

University of California,Davis,CA 95616,USA Unive

【出 处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

diffusion MRI fiber orientation distribution function spherical deconvolution sp 

下载到本地 , 更方便阅读

下载此文 赞助VIP

声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架

论文部分内容阅读

　　We present a novel method for estimation of the fiber orientation distribution(FOD)function based on diffusion-weighted Magnetic Resonance Imaging(D-MRI)data.

其他文献

Classification under Data Contamination with Applications

Data contamination refers to the phenomenon where part of the data is randomly replaced by data generated from an unknown distribution.It applies to a wide range of real world problems related to data

会议

Data contaminationdata qualitydistribution driftsclassificationmachine learn

Enhancement of Variational Mode Decomposition with Missing Values

This talk considers an improvement of variational mode decomposition(VMD)in the presence of missing values.VMD developed by Dragomiretskiy and Zosso(2014)efficiently decomposes a signal into some mean

会议

DecompositionMissing valuesPeriodogramSelf-consistencyVariational mode decom

Bayesian Approach for Joint Modeling of Survival Data with Latent Variables

We propose a cox model with latent variables to investigate the observed and latent risk factors of the failure time of interest.Each latent risk factor is characterized by correlated observed variabl

会议

Latent variablesurvival analysisexploratory factor analysisBayes factors

Network-based Feature Screening with Applications to Genome Data

Modern biological techniques have led to a variety of types of data,which are often used to identify important biomarkers for certain diseases based on appropriate statistical methods,such as feature

会议

Feature screeningNetworkPageRank algorithmUltra-high dimensionVariable selec

Two-Level Minimum Aberration Designs Under a Conditional Model with a Pair of Conditional and Condit

Two-level factorial designs are considered under a conditional model with a pair of conditional and conditioning factors.Such a pair can arise in many practical situations.With properly defined main e

会议

Biascomplementary seteffect hierarchymodel robustnessorthogonal array

SPATIAL MODELING OF ANISOTROPIC COVARIANCE STRUCTURE IN INFECTIOUS DISEASE SURVEILLANCE DATA

A commonly used assumption in spatial analysis is that the spatial process is isotropic,implying that only the distance,but not the orientation matters in the specification of the spatial structure.Ho

会议

VariogramCorrelated dataPoissonInfectious diseaseGeneralized Method of Momen

SMALL AREA QUANTILE ESTIMATION

Sample surveys are widely used to obtain information about totals,means,medians,and other parameters of finite populations.In many applications,similar information is desired for subpopulations such a

会议

Empirical likelihoodDensity ratio modelFinite populationSampling survey

Constrained Nonlinear and Mixed Effects Differential Equation Models for Dynamic Cell Polarity Signa

The key of tip growth in eukaryotes is the polarized distribution on plasma membrane of a particle named ROP1.This distribution is the result of a positive feedback loop,whose mechanism can be describ

会议

Constrained Mixed effect modelRestricted maximum likelihoodSemilinear-linear E

Embracing the Blessing of Dimensionality in Factor Models

Factor modeling is an essential tool for exploring intrinsic dependence structures among high-dimensional random variables.

会议

Auxiliary datadivide-and-conquerfactor modelFisher informationhigh-dimension

AN INTEGRATED ANALYSIS TOOL FOR ANALYZING HYBRIDIZATION INTENSITIES AND GENOTYPES USING NEW-GENERATI

[Background] Affymetrix Axiom single nucleotide polymorphism(SNP)arrays provide a cost-effective,high-density,and high-throughput genotyping solution for population-optimized analyses.

会议

Single-nucleotide polymorphism (SNP)allele frequency (AF)allelic imbalance (AI