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363 Result(s)
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Chapter and Conference Paper
Intrinsic surface properties from surface triangulation
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Chapter and Conference Paper
Occluded objects recognition using multiscale features and Hopfield neural networks
A new method to recognize partially visible two-dimensional objects by means of multiscale features and Hopfield neural network is proposed. The Hopfield network is employed to perform global feature matching....
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Chapter and Conference Paper
Fast face detection via morphology-based pre-processing
An efficient face detection algorithm which can detect multiple faces in cluttered environment is proposed. First of all, morphological operations and labeling process were performed to obtain the eye-analogue...
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Chapter and Conference Paper
Entropy-Based, Multiple-Portal-to-3DCT Registration for Prostate Radiotherapy Using Iteratively Estimated Segmentation
In external beam radiotherapy (EBRT), patient setup verification over the entire course of fractionated treatment is necessary for accurate delivery of specified dose to the tumor. We develop an information th...
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Chapter and Conference Paper
3-D Deformable Registration of Medical Images Using a Statistical Atlas
Registration between 3-D images of human anatomies enables cross-subject diagnosis. However, innate differences in the appearance and location of anatomical structures between individuals make accurate registr...
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Chapter and Conference Paper
Comparison of Land-Mark-Based and Curve-Based Thin-Plate Warps for Analysis of Left-Ventricular Motion from Tagged MRI
MRI is unique in its ability to non-invasively and selectively alter tissue magnetization, and create tagged patterns within a deforming body such as the heart muscle. The resulting grid patterns define non-in...
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Chapter and Conference Paper
A Simple Implementation of the Stochastic Discrimination for Pattern Recognition
The method of stochastic discrimination (SD) introduced by Kleinberg ([6,7]) is a new method in pattern recognition. It works by producing weak classifiers and then combining them via the Central Limit Theorem to...
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Chapter and Conference Paper
Coronary Intervention Planning Using Hybrid 3D Reconstruction
A new method is presented to assist the clinician in planning a interventional procedure while the patient is already on the catheterization table. Based on several ECG-selected projections from a rotational X...
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Chapter and Conference Paper
Line Integral Convolution for Visualization of Fiber Tract Maps from DTI
Diffusion tensor imaging (DTI) can provide the fundamental information required for viewing structural connectivity. However, robust and accurate acquisition and processing algorithms are needed to accurately ...
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Chapter and Conference Paper
Registration Assisted Image Smoothing and Segmentation
Image segmentation is a fundamental problem in Image Processing, Computer Vision and Medical Imaging with numerous applications. In this paper, we address the atlas-based image segmentation problem which invol...
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Chapter and Conference Paper
Medical Image Synthesis via Monte Carlo Simulation
A large number of test images and their “ground truth” segmentations are needed for performance characterization of the many image segmentation methods. In this work we developed a methodology to form a probab...
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Chapter and Conference Paper
Robust Computer Vision through Kernel Density Estimation
Two new techniques based on nonparametric estimation of probability densities are introduced which improve on the performance of equivalent robust methods currently employed in computer vision. The first techn...
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Chapter and Conference Paper
Model-Updated Image Guidance: A Statistical Approach to Gravity-Induced Brain Shift
Compensating for intraoperative brain shift using computational models has been used with promising results. Since computational time is an important factor during neurosurgery, a prior knowledge of a patient’...
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Chapter and Conference Paper
Gibbs Prior Models, Marching Cubes, and Deformable Models: A Hybrid Framework for 3D Medical Image Segmentation
Hybrid frameworks combining region-based and boundary-based segmentation methods have been used in 3D medical image segmentation applications. In this paper we propose a hybrid 3D segmentation framework which ...
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Chapter and Conference Paper
Segmentation, Registration, and Deformation Analysis of 3D MR Images of Mice
We demonstrate our mouse MR image and shape analysis pipeline. The long term goal of our work is the description of structural shape variations in normal, genetically identical mice and the subsequent detectio...
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Chapter and Conference Paper
Using Inter-feature-Line Consistencies for Sequence-Based Object Recognition
An image sequence-based framework for appearance-based object recognition is proposed in this paper. Compared with the methods of using a single view for object recognition, inter-frame consistencies can be ex...
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Chapter and Conference Paper
Stitching and Reconstruction of Linear-Pushbroom Panoramic Images for Planar Scenes
This paper proposes a method to integrate multiple linear-pushbroom panoramic images. The integration can be performed in real time. The technique is feasible on planar scene such as large-scale paintings or a...
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Chapter and Conference Paper
Camera Calibration with Two Arbitrary Coplanar Circles
In this paper, we describe a novel camera calibration method to estimate the extrinsic parameters and the focal length of a camera by using only one single image of two coplanar circles with arbitrary radius.
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Chapter and Conference Paper
Segmentation of Left Ventricle via Level Set Method Based on Enriched Speed Term
Level set methods have been widely employed in medical image segmentation, and the construction of speed function is vital to segmentation results. In this paper, two ideas for enriching the speed function in ...
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Chapter and Conference Paper
Gabor Filter-Based Automated Strain Computation from Tagged MR Images
Myocardial tagging is a non-invasive MR imaging technique; it generates a periodic tag pattern in the magnetization that deforms with the tissue during the cardiac cycle. It can be used to assess regional myoc...