The authors have developed a computer application, called the Bayes Inference Engine, to enable one to make inferences about models of a physical object from radiographs taken of it. In the BIE calculational models are represented by a data-flow diagram that can be manipulated by the analyst in a graphical-programming environment. The authors demonstrate the operation of the BIE in terms of examples of two-dimensional tomographic reconstruction including uncertainty estimation
International audienceIn this paper, we apply the Bayesian inference method in a tomographic reconst...
The idea that one can possibly develop computational models that predict the emergence, growth, or d...
The Bayes Inference Engine (BIE) has been used to perform a 4D reconstruction of a first-pass radiot...
Abstract. We have developed a computer application, called the Bayes Inference Engine, to enable us ...
The Bayes Inference Engine (BIE) is a flexible software tool that allows one to interactively define...
The authors are developing a computer application, called the Bayes Inference Engine, to provide the...
The Bayes Inference Engine (BIE) is a flexible software tool that allows one to interactively define...
In recent years, a number of studies of the use of computer programs in diagnosis have been performe...
We attack the problem of recovering an image (a function of two variables) from experimentally avail...
We consider prediction and uncertainty analysis for systems which are approximated using complex mat...
References K. Tanaka: Statistical-mechanical approach to image processing (Topical Review), J. Phys....
In the course of research on quantitative assay of non-destructive measurement of radioactive waste,...
The development and tests of an iterative reconstruction algorithm for emission tomography based on ...
The pervasive presence of noise corrupts the data and their interpretation implies a solution of an ...
In this paper we formulate a new approach to medical image reconstruction from projections in emissi...
International audienceIn this paper, we apply the Bayesian inference method in a tomographic reconst...
The idea that one can possibly develop computational models that predict the emergence, growth, or d...
The Bayes Inference Engine (BIE) has been used to perform a 4D reconstruction of a first-pass radiot...
Abstract. We have developed a computer application, called the Bayes Inference Engine, to enable us ...
The Bayes Inference Engine (BIE) is a flexible software tool that allows one to interactively define...
The authors are developing a computer application, called the Bayes Inference Engine, to provide the...
The Bayes Inference Engine (BIE) is a flexible software tool that allows one to interactively define...
In recent years, a number of studies of the use of computer programs in diagnosis have been performe...
We attack the problem of recovering an image (a function of two variables) from experimentally avail...
We consider prediction and uncertainty analysis for systems which are approximated using complex mat...
References K. Tanaka: Statistical-mechanical approach to image processing (Topical Review), J. Phys....
In the course of research on quantitative assay of non-destructive measurement of radioactive waste,...
The development and tests of an iterative reconstruction algorithm for emission tomography based on ...
The pervasive presence of noise corrupts the data and their interpretation implies a solution of an ...
In this paper we formulate a new approach to medical image reconstruction from projections in emissi...
International audienceIn this paper, we apply the Bayesian inference method in a tomographic reconst...
The idea that one can possibly develop computational models that predict the emergence, growth, or d...
The Bayes Inference Engine (BIE) has been used to perform a 4D reconstruction of a first-pass radiot...