The paper deals with the integrated use of Information Visualization techniques and clustering algorithms to analyze Magnetic Resonance Imaging (MRI) data sets. The paper also describes the criteria we followed in designing and implementing the prototype, according to the above approach. Finally, some preliminary results are given for the considered medical application
Abstract. Information visualization and visual data mining leverage the human visual system to provi...
Abstract. The purpose of cluster analysis is to partition a data set into a number of disjoint group...
In this work, we present an interactive visual clustering approach for the exploration and analysis ...
Objective This paper presents VisualMRI, an innovative tool for the magnetic resonance imaging (MRI...
Part 1: Long and Short PapersInternational audienceResearch Area: Information visualization, human-c...
In this work the topic of applying clustering as a knowledge extraction method from real-world data ...
International audienceMany studies have been made in order to propose automatic diagnostic in medica...
International audienceMany studies have been made in order to propose automatic diagnostic inmedical...
This thesis investigates methods for the visualization of multi-field medical data. In the medical f...
Lessmann B, Nattkemper TW, Degenhard A, et al. Clustering approach for wavelet transformed MR image ...
In Magnetic Resonance (MR) brain image analysis, segmentation is commonly used for detecting, measur...
AbstractIn this work the topic of applying clustering as a knowledge extraction method from real-wor...
AbstractThe twenty first century sees the tremendous advancement of computer and machine technologie...
International audienceIt is a standard approach to consider that images encode some information such...
Imaging biomarkers from magnetic resonance images have provided insights into the progression of mul...
Abstract. Information visualization and visual data mining leverage the human visual system to provi...
Abstract. The purpose of cluster analysis is to partition a data set into a number of disjoint group...
In this work, we present an interactive visual clustering approach for the exploration and analysis ...
Objective This paper presents VisualMRI, an innovative tool for the magnetic resonance imaging (MRI...
Part 1: Long and Short PapersInternational audienceResearch Area: Information visualization, human-c...
In this work the topic of applying clustering as a knowledge extraction method from real-world data ...
International audienceMany studies have been made in order to propose automatic diagnostic in medica...
International audienceMany studies have been made in order to propose automatic diagnostic inmedical...
This thesis investigates methods for the visualization of multi-field medical data. In the medical f...
Lessmann B, Nattkemper TW, Degenhard A, et al. Clustering approach for wavelet transformed MR image ...
In Magnetic Resonance (MR) brain image analysis, segmentation is commonly used for detecting, measur...
AbstractIn this work the topic of applying clustering as a knowledge extraction method from real-wor...
AbstractThe twenty first century sees the tremendous advancement of computer and machine technologie...
International audienceIt is a standard approach to consider that images encode some information such...
Imaging biomarkers from magnetic resonance images have provided insights into the progression of mul...
Abstract. Information visualization and visual data mining leverage the human visual system to provi...
Abstract. The purpose of cluster analysis is to partition a data set into a number of disjoint group...
In this work, we present an interactive visual clustering approach for the exploration and analysis ...