45 Result(s)
within
English
Computer Science
Computer Graphics
Image Processing and Computer Vision
Pattern Recognition
M. **gliang
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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
Dataset Issues in Object Recognition
Appropriate datasets are required at all stages of object recognition research, including learning visual models of object and scene categories, detecting and localizing instances of these models in images, an...
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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
Under Vehicle Inspection with 3d Imaging
This research is motivated towards the deployment of intelligent robots for under vehicle inspection at check-points, gate-entry terminals and parking lots. Using multi-modality measurements of temperature, ra...
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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
Morphology-Guided Graph Search for Untangling Objects: C. elegans Analysis
We present a novel approach for extracting cluttered objects based on their morphological properties. Specifically, we address the problem of untangling Caenorhabditis elegans clusters in high-throughput screenin...
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Chapter and Conference Paper
Joint Factor and Kinetic Analysis of Dynamic FDOPA PET Scans of Brain Cancer Patients
Kinetic analysis is an essential tool of Positron Emission Tomography image analysis. However it requires a pure tissue time activity curve (TAC) in order to calculate the system parameters. Pure tissue TACs a...
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Chapter and Conference Paper
Summarizing and Visualizing Uncertainty in Non-rigid Registration
Registration uncertainty may be important information to convey to a surgeon when surgical decisions are taken based on registered image data. However, conventional non-rigid registration methods only provide ...
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Chapter and Conference Paper
On Super-Resolution for Fetal Brain MRI
Super-resolution techniques provide a route to studying fine scale anatomical detail using multiple lower resolution acquisitions. In particular, techniques that do not depend on regular sampling can be used i...
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Chapter and Conference Paper
Registration of In Vivo Prostate Magnetic Resonance Images to Digital Histopathology Images
Early and accurate diagnosis of prostate cancer enables minimally invasive therapies to cure the cancer with less morbidity. The purpose of this work is to non-rigidly register in vivo pre-prostatectomy prostate ...
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Chapter and Conference Paper
Retrieval of 3D Polygonal Objects Based on Multiresolution Signatures
In this paper we present a method for retrieving 3D polygonal objects by using two sets of multiresolution signatures. Both sets are based on the progressive elimination of object’s details by iterative proces...
