28 Result(s)
within
English
Computer Science
Artificial Intelligence
Computer Graphics
Image Processing and Computer Vision
Pattern Recognition
M. **gliang
Conference Paper
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Chapter and Conference Paper
ERS Transform for the Detection of Bronchi on CT of the Lungs
The identification of bronchi on Computed Tomography (CT) images of the lungs provides valuable clinical information for the assessment of patients with suspected bronchiectasis, emphysema, or constrictive obl...
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Chapter and Conference Paper
A Markov Random Field Approach to Multi-scale Shape Analysis
With a mind towards achieving means of image comprehension by computer, we intend to convey the benefits of (1) characterizing the geometry of object complexes in the real world as contrasted with the geometri...
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Chapter and Conference Paper
Automated Surface Matching Using Mutual Information Applied to Riemann Surface Structures
Many medical imaging applications require the computation of dense correspondence vector fields that match one surface with another. To avoid the need for a large set of manually-defined landmarks to constrain...
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Chapter and Conference Paper
Estimating the Statistics of Multi-object Anatomic Geometry Using Inter-object Relationships
We present a methodology for estimating the probability of multi-object anatomic complexes that reflects both the individual objects’ variability and the variability of the inter-relationships between objects....
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Chapter and Conference Paper
Multivariate Statistics of the Jacobian Matrices in Tensor Based Morphometry and Their Application to HIV/AIDS
Tensor-based morphometry (TBM) is widely used in computational anatomy as a means to understand shape variation between structural brain images. A 3D nonlinear registration technique is typically used to align...
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Chapter and Conference Paper
Automatic Reconstruction of Dendrite Morphology from Optical Section Stacks
The function of the human brain arises from computations that occur within and among billions of nerve cells known as neurons. A neuron is composed primarily of a cell body (soma) from which emanates a collect...
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Chapter and Conference Paper
Segmentation-Based Registration of Organs in Intraoperative Video Sequences
Intraoperative optical imaging of exposed organs in visible, near-infrared, and infrared (IR) wavelengths in the body has the potential to be useful for real-time assessment of organ viability and image guidan...
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Chapter and Conference Paper
Affect Detection and an Automated Improvisational AI Actor in E-Drama
Enabling machines to understand emotions and feelings of the human users in their natural language textual input during interaction is a challenging issue in Human Computing. Our work presented here has tried ...
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Chapter and Conference Paper
Automatic Detection of Learnability under Unreliable and Sparse User Feedback
Personalization for real-world machine-learning applications usually has to incorporate user feedback. Unfortunately, user feedback often suffers from sparsity and possible inconsistencies. Here we present an ...
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Chapter and Conference Paper
Amygdala Surface Modeling with Weighted Spherical Harmonics
Although there are numerous publications on amygdala volumetry, so far there has not been many studies on modeling local amygdala surface shape variations in a rigorous framework. This paper present a systemat...
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Chapter and Conference Paper
Incorporating Patient Breathing Variability into a Stochastic Model of Dose Deposition for Stereotactic Body Radiation Therapy
Hypo-fractionated stereotactic body radiation therapy (SBRT) employs precisely-conforming high-level radiation dose delivery to improve tumor control probabilities and sparing of healthy tissue. However, the d...
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Chapter and Conference Paper
Improving the Believability of Virtual Characters Using Qualitative Gesture Analysis
This paper describes preliminary results of a research performed in the framework of the Enactive project (EU IST NoE Enactive). The aim of this research is to improve believability of a virtual character usin...
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Chapter and Conference Paper
A Visual Measurement Model on Human Capital and ICT Dimensions of a Knowledge Society (KS) Framework for Malaysia towards an Innovative Digital Economy
This paper outlines the research conducted to test a visual measurement model of the Human Capital and ICT dimensions to develop a framework of a Knowledge-based Society for Malaysia towards an Innovative Digi...
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Chapter and Conference Paper
A Visual Art Education Tool to Create Logo (APH-Pensil) Based on the Fundamental Design Theory Approach
This paper outlines the research conducted to develop and evaluate a Visual Art Education tool (APH-Pensil), based on the fundamental design theory. This tool consists of six modules. The Art element module he...
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Chapter and Conference Paper
Hierarchical Structural Map** for Globally Optimized Estimation of Functional Networks
In this study, we propose a framework to map functional MRI (fMRI) activation signals using DTI-tractography. This framework, which we term functional by structural hierarchical (FSH) map**, models the regio...
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Chapter and Conference Paper
Direct 3D Ultrasound to Video Registration Using Photoacoustic Effect
Interventional guidance systems require surgical navigation systems to register different tools and devices together. Standard navigation systems have various drawbacks leading to target registration errors (T...
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Chapter and Conference Paper
Towards Person Identification and Re-identification with Attributes
Visual identification of an individual in a crowded environment observed by a distributed camera network is critical to a variety of tasks including commercial space management, border control, and crime preve...
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Chapter and Conference Paper
Age-Related Changes in Vertebral Morphometry by Statistical Shape Analysis
The morphological changes of the vertebrae associated with normal aging are still subject of debate, whereas this knowledge is important in detecting vertebral fractures and degenerative shape changes. The aim...
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Chapter and Conference Paper
Whole Brain Functional Connectivity Using Multi-scale Spatio-Spectral Random Effects Model
Functional brain networks produce connected low frequency patterns of activity when the brain is at rest which can be analyzed with resting state functional MRI (rs-fMRI) by fitting general linear models for s...
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Chapter and Conference Paper
“SynMax”: A Mathematics Application Tool for Down Syndrome Children
Research has shown that the number skills delayed relative to reading skills for Down Syndrome (DS) children. The DS children use the same learning strategy as the normal children, but their learning stages de...
