Z. Ding

Publications116
h-index31
Citations6,600
Highly Influential Citations527
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Minimization of Region-Scalable Fitting Energy for Image Segmentation
TLDR
This work proposes a region-based active contour model that draws upon intensity information in local regions at a controllable scale to cope with intensity inhomogeneity and shows desirable performances of this model.
Implicit Active Contours Driven by Local Binary Fitting Energy
TLDR
The proposed region-based active contour model can be used to segment images with intensity inhomogeneity, which overcomes the limitation of piecewise constant models and has promising application to image denoising.
A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI
TLDR
A novel region-based method for image segmentation, which is able to simultaneously segment the image and estimate the bias field, and the estimated bias field can be used for intensity inhomogeneity correction (or bias correction).
Classification and quantification of neuronal fiber pathways using diffusion tensor MRI
TLDR
Novel algorithms were developed to bundle neuronal fiber pathways reconstructed in vivo with diffusion tensor images and to quantify various physical and geometric properties of fiber bundles to offer considerable potential for the quantitative study of fiber pathways in vivo.
Validation of diffusion tensor MRI‐based muscle fiber tracking
TLDR
The data indicate that DT‐MRI‐based fiber tracking as implemented here is a valid tool for in vivo structural analysis of small‐animal skeletal muscle.
A Variational Level Set Approach to Segmentation and Bias Correction of Images with Intensity Inhomogeneity
TLDR
A variational level set approach to joint segmentation and bias correction of images with intensity inhomogeneity that is robust to initialization, and therefore allows automatic applications, and has been used for images of various modalities with promising results.
Quantitative diffusion tensor MRI-based fiber tracking of human skeletal muscle.
TLDR
It is concluded that pennation angle measurements of human muscle made using DT-MRI muscle fiber tracking are feasible and reveal that in the foot-head direction, there is heterogeneity in the pennation properties of the human TA muscle.
Repeatability of DTI‐based skeletal muscle fiber tracking
TLDR
The feasibility for longitudinal studies of alterations in muscle architecture using DTI‐based fiber tracking, under similar noise conditions and with similar diffusion characteristics is demonstrated, as well as the repeatability of the diffusion measures is very good and the architectural measurements is acceptable.
Early Adverse Events, HPA Activity and Rostral Anterior Cingulate Volume in MDD
TLDR
Findings suggest a key relationship between ACC morphology, a history of early adverse events and circulating cortisol in the pathophysiology of MDD.
Spatio-Temporal Correlation Tensors Reveal Functional Structure in Human Brain
TLDR
A local spatio-temporal correlation tensor is derived which captures directional variations of resting-state correlations and which reveals distinct structures in both white and gray matter, suggesting that MRI signal variations from within white matter in a resting state may convey similar information as their corresponding fluctuations of MRI signals in gray matter.
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