Theory and biomaterial applications
Theory and biomaterial applications
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理论与生物材料应用
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
A. Farag
中科院分区：
文献类型：
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作者：
J. Suri;A. Farag
用于偏移生成和半自动3D分割的T曲面框架。医学图像分割中的参数轮廓模型可变形模型及其在图像病理学标本分割中的应用图像分割使用水平集方法。并行Co-Volume主观表面方法用于三维医学图像分割在水平集框架中使用形状模型的体积分割。基于可变形模型的医学图像分割及其应用乳腺应变成像：CAD框架。模型变形的替代空间：停走活动模型在医学图像中的应用。基于可变形模型的超声图像前列腺分割。使用基于J-发散的活动轮廓模型分割脑MR图像。通过高维形状变换对正常和病理脑结构的形态测量分析。用于水平集分割的形状和强度先验的有效核密度估计。使用水平集框架的阅读障碍受试者的体积MRI分析。用Nurbs可变形模型分析4-D心脏MR数据：时间拟合策略和非刚性配准。自闭症与典型发育大脑的基于神经成像的强大分类技术。
T-Surfaces Framework For Offset Generation And Semiautomatic 3d Segmentation.- Parametric Contour Model In Medical Image Segmentation.- Deformable Models And Their Application In Segmentation Of Imaged Pathology Specimens.- Image Segmentation Using The Level Set Method.- Parallel Co-Volume Subjective Surface Method For 3d Medical Image Segmentation.- Volumetric Segmentation Using Shape Models In The Level Set Framework.- Medical Image Segmentation Based On Deformable Models And Its Applications.- Breast Strain Imaging: A Cad Framework.- Alternate Spaces For Model Deformation: Application Of Stop And Go Active Models To Medical Images.- Deformable Model-Based Segmentation Of The Prostate From Ultrasound Images.- Segmentation Of Brain Mr Images Using J-Divergence Based Active Contour Models.- Morphometric Analysis Of Normal And Pathologic Brain Structure Via High-Dimensional Shape Transformations.- Efficient Kernel Density Estimation Of Shape And Intensity Priors For Level Set Segmentation.- Volumetric Mri Analysis Of Dyslexic Subjects Using A Level Set Framework.- Analysis Of 4-D Cardiac Mr Data With Nurbs Deformable Models: Temporal Fitting Strategy And Nonrigid Registration.- Robust Neuroimaging-Based Classification Techniques Of Autistic Vs. Typically Developing Brain.