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Image computing based on bayesian models (BM)
Zhong Xue,
Stephen Wong
Academic Institute
Houston Methodist
Weill Cornell Medical College
Dr. Mary and Ron Neal Cancer Center
Department of Radiology
Research output
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peer-review
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Dive into the research topics of 'Image computing based on bayesian models (BM)'. Together they form a unique fingerprint.
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Keyphrases
Bayesian Modeling
100%
Image Computing
100%
Statistical Model
50%
Prior Distribution
50%
Object Shape
33%
Image Registration
33%
Maximum a Posteriori
33%
Active Shape Model
33%
Feature Vector
33%
Medical Image Computing
33%
Computing Task
33%
Deformation Field
16%
Image Data
16%
High-dimensional Data
16%
Principal Coordinate Analysis (PCoA)
16%
Image Segmentation
16%
Image Analysis Technique
16%
Computer-aided Diagnosis (CADx)
16%
Group Comparison
16%
Model-based Method
16%
Maximum a Posteriori Estimation
16%
Shape Analysis
16%
Modeling Methodology
16%
Training Image
16%
Principal Component Analysis Model
16%
Shape Matching
16%
Best Estimation
16%
Shape Description
16%
Robust Image Segmentation
16%
Modeling Algorithm
16%
Engineering
Bayesian Model
100%
Statistical Model
50%
Maximum a Posteriori
50%
Object Shape
33%
Principal Component
33%
Medical Image
33%
Component Analysis
33%
Sample Data
33%
Feature Vector
33%
Deformation Field
16%
Image Analysis
16%
Observed Data
16%
Shape Analysis
16%
Computer Aided Diagnosis
16%
Dimensional Data
16%
Shape Matching
16%
Computer Science
Bayesian Model
100%
Statistical Model
50%
Image Segmentation
33%
Component Analysis
33%
Principal Component
33%
Feature Vector
33%
Deformation Field
16%
Image Analysis
16%
High Dimensional Data
16%
Shape Analysis
16%
Group Comparison
16%
Aided Diagnosis
16%
Analysis Model
16%
Training Image
16%
Shape Matching
16%
Literature Review
16%
Biochemistry, Genetics and Molecular Biology
Principal Component Analysis
100%