A Split-Merge-Based Region-Growing Method for fMRI Activation Detection (2009)
Yingli Lu, Tianzi Jiang, Yufeng Zang
Abstract: We introduce a hybrid method for functional magnetic resonance imaging (fMRI) activation detection based on the well-developed split-merge and region growing techniques. The proposed method...
Cheng, Jian, Shi, Feng, Wang, Kun, Song, Ming, Jiang, Jiefeng, Xu, Lijuan, ...
In functional Magnetic Resonance Imaging (fMRI) data analysis, normalization of time series is an important and sometimes necessary preprocessing step in many widely used methods. The space of...
Cheng, Jian, Shi, Feng, Wang, Kun, Song, Ming, Jiang, Jiefeng, Xu, Lijuan, ...
In functional Magnetic Resonance Imaging (fMRI) data analysis, normalization of time series is an important and sometimes necessary preprocessing step in many widely used methods. The space of...
A Riemannian Framework for Orientation Distribution Function Computing (2009)
Cheng, Jian, Ghosh, Aurobrata, Jiang, Tianzi, Deriche, Rachid
Compared with Diffusion Tensor Imaging (DTI), High Angular Resolution Imaging (HARDI) can better explore the complex microstructure of white matter. Orientation Distribution Function (ODF) is used to...
A Riemannian Framework for Orientation Distribution Function Computing (2009)
Cheng, Jian, Ghosh, Aurobrata, Jiang, Tianzi, Deriche, Rachid
Compared with Diffusion Tensor Imaging (DTI), High Angular Resolution Imaging (HARDI) can better explore the complex microstructure of white matter. Orientation Distribution Function (ODF) is used to...
Parameterization of 3D Brain Structures for Statistical Shape Analysis (2008)
Statistical Shape Analysis (SSA) is a powerful tool for noninvasive studies of pathophysiology and diagnosis of brain diseases. It also provides a shape constraint for the segmentation of brain...
Disrupted small-world networks in schizophrenia (2008)
Liu, Yong, Liang, Meng, Zhou, Yuan, He, Yong, Hao, Yihui, Song, Ming, ...
The human brain has been described as a large, sparse, complex network characterized by efficient small-world properties, which assure that the brain generates and integrates information with high...
Spontaneous Activity Associated with Primary Visual Cortex: A Resting-State fMRI Study (2008)
Wang, Kun, Jiang, Tianzi, Yu, Chunshui, Tian, Lixia, Li, Jun, Liu, Yong, ...
Brain functions during the resting state have attracted considerable attention in the past several years. However, little has been known about spontaneous activity in the sensory cortices in the...
Pixon-based image denoising with Markov random fields (2007)
Image restoration is an essential preprocessing step for many image analysis applications. So far, the majority of works have been devoted to image denoising. For this issue, the most common problem...
A New Approach to Optimal Structuring Element Extraction for MST-Based Shapes Description (2007)
Optimal structure element extraction is a key step in the application of mathematical morphology to various image processing tasks and shape description problem in computer vision. In this paper, We...
A Descrete Trigonometric Interpolation Method (2007)
Interpolation theory is a necessary and crucial tools for many applied engineering sciences. In this paper, we propose a new kind of 2-period interpolation of functions with period 2 at the nodes x k...
Whole brain functional connectivity in the early blind (2007)
Liu, Yong, Yu, Chunshui, Liang, Meng, Li, Jun, Tian, Lixia, Zhou, Yuan, ...
Early visual deprivation can lead to changes in the brain, which may be explained by either of two hypotheses. The general loss hypothesis has been proposed to explain maladjustments, while the...
Cui, Qinghua, Liu, Bing, Jiang, Tianzi, Ma, Songde
Motivation: One popular method for analyzing functional connectivity between genes is to cluster genes with similar expression profiles. The most popular metrics measuring the similarity (or...
Liu, Bing, Cui, Qinghua, Jiang, Tianzi, Ma, Songde
Abstract Background Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for a...
Esub8: A novel tool to predict protein subcellular localizations in eukaryotic organisms (2004)
Cui, Qinghua, Jiang, Tianzi, Liu, Bing, Ma, Songde
Abstract Background Subcellular localization of a new protein sequence is very important and fruitful for understanding its function. As the number of new genomes has dramatically increased over...
Active shape model segmentation using local edge structures and adaboost (2004)
Shuyu Li, Litao Zhu, Tianzi Jiang
Abstract. The paper describes a machine learning approach for improving active shape model segmentation, which can achieve high detection rates. Rather than represent the image structure using...
BioMed Central Open Access (2004)
Bmc Bioinformatics, Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
Research article A combinational feature selection and ensemble neural network method for classification of gene expression data
Cui, Qinghua, Liu, Bing, Jiang, Tianzi, Ma, Songde
Motivation: one popular method for analyzing functional connectivity between genes is to cluster genes with similar expression profiles. The most popular metrics measuring the similarity (or...
Cui, Qinghua, Liu, Bing, Jiang, Tianzi, Ma, Songde
Motivation: one popular method for analyzing functional connectivity between genes is to cluster genes with similar expression profiles. The most popular metrics measuring the similarity (or...
A Comparative Study Of Global Optimization Approaches To Meg Source Localization (2003)
Tianzi Jiang, An Luo, Xiaodong Li, F. Kruggel
this paper, we compare the performance of three typical and widely used optimization techniques for a specific MEG source localization problem. We first introduce a hybrid algorithm by combining...
Pixon-based image segmentation with markov random fields (2003)
Faguo Yang, Tianzi Jiang, Ieee Member
Image segmentation is an essential processing step for many image analysis applications. So far, there does not exist a general method that is suitable for all the image analysis applications. In...
Abstract A modified Gabor filter design method for fingerprint image enhancement (2003)
Jianwei Yang, Lifeng Liu, Tianzi Jiang, Yong Fan
Fingerprint image enhancement is an essential preprocessing step in fingerprint recognition applications. In this paper, we propose a novel filter design method for fingerprint image enhancement,...
Medical image reconstruction using a multi-objective genetic local search algorithm (2000)
Image reconstruction from projections is a key problem in medical image analysis. In this paper, we cast image reconstruction from projections as a multiobjective problem. It is essential to choose...
D MR Image Restoration by Combining Local Genetic Algorithm with Adaptive pre-conditioning (2000)
In this paper, we propose a novel efficient method by incorporating a local genetic algorithm and a new preconditioning technique into Markov random field model for image restoration. The role of...
A Generalization of 2-Periodic Trigonometric Interpolation (2000)
It is well-known that the interpolation theory plays an important role in many fields of computer vision, especially in surface reconstruction and Image processing. In this paper, we introduce a new...
Geometric Primitive Extraction by the Combination of Tabu Search and Subpixel Accuracy (1999)
Extracting redefined geometric primitives from geometric data is an important problem in the field of model-based vision because it is a prerequisite to solving other problems in model-based vision,...
This paper deals with the complexity of the Fredholm equation Lu = f of the second kind with f 2 W r;p(\Omega\Gamma2 The problem elements are free term f and belong to the unit ball of W...
In this paper, we propose a novel method for extracting optimal structure element for MST-based shape description. Specifically, we use tabu search to solve optimal structure element extraction...
Evolutionary Tabu Search for Geometric Primitive Extraction (1998)
Jinxiang Chai, Tianzi Jiang, Song De Ma
Many problems in computer vision can be formulated as an optimization problem. Developping the efficient global optimizational technique adaptive to the vision proplem becomes more and more...
A Parallel Information-Based Complexity Approach to Visual Surface Reconstruction (1998)
In this paper, we give a novel insight into studying the low level vision. We attack low level problems by parallel information-based complexity techniques. Here we only study the visual surface...
Wang, Kun, Yu, Chunshui, Xu, Lijuan, Qin, Wen, Li, Kuncheng, Xu, Lin, ...
Brain Anatomical Network and Intelligence
Li, Yonghui, Liu, Yong, Li, Jun, Qin, Wen, Li, Kuncheng, Yu, Chunshui, ...
Intuitively, higher intelligence might be assumed to correspond to more efficient information transfer in the brain, but no direct evidence has been reported from the perspective of brain networks....
Zhang, Jing, Liu, Bing, Jiang, Xingpeng, Zhao, Huizhi, Fan, Ming, Fan, Zhenjie, ...
Accurate prediction of survival of cancer patients is still a key open problem in clinical research. Recently, many large-scale gene expression clusterings have identified sets of genes reportedly...
Altered Anatomical Network in Early Blindness Revealed by Diffusion Tensor Tractography
Shu, Ni, Liu, Yong, Li, Jun, Li, Yonghui, Yu, Chunshui, Jiang, Tianzi
The topological architecture of the cerebral anatomical network reflects the structural organization of the human brain. Recently, topological measures based on graph theory have provided new...