International audienceMedical application context: Design a Computer Aided Diagnostic (CAD) system for lesion screening in brain MR images; Assist clinicians in fast lesion detection in routine exams.Specifics: - No annotated pathological data =) voxel-level outlier detection problem - Relatively small data set (around 100 training subjects)Objective: Design an automatic feature extraction method to be used in outlier detection problem at voxel leve
Multiple Sclerosis (MS) is a neurodegenerative disease that is associated with brain tissue damage p...
As part of the AIDTumour research project, the analysis of MRS data corresponding to various tumour ...
In medical imaging, outliers can contain hypo/hyper-intensities, minor deformations, or completely a...
International audienceMedical application context: Design a Computer Aided Diagnostic (CAD) system f...
International audienceIn this study, we propose a novel anomaly detection model targeting subtle bra...
International audienceMedical imaging datasets often contain deviant observations, the so-called out...
This paper presents a fully automated algorithm for segmentation of multiple sclerosis (MS) lesions ...
International audiencePattern recognition methods, such as computer aided diagnosis (CAD) systems, c...
Medical Image processing is a vital research area in the field of medical and computing technology. ...
Abstract: This paper presents an intelligent technique particularly for MRI brain images. This intro...
International audienceAnomaly detection remains a challenging task in neuroimaging when little to no...
This paper presents a fully automated algorithm for segmentation of multiple sclerosis (MS) lesions ...
The curse of dimensionality problem occurs when the data are high-dimensional. It affects the learni...
Multiple Sclerosis (MS) is a neurodegenerative disease that is associated with brain tissue damage p...
As part of the AIDTumour research project, the analysis of MRS data corresponding to various tumour ...
In medical imaging, outliers can contain hypo/hyper-intensities, minor deformations, or completely a...
International audienceMedical application context: Design a Computer Aided Diagnostic (CAD) system f...
International audienceIn this study, we propose a novel anomaly detection model targeting subtle bra...
International audienceMedical imaging datasets often contain deviant observations, the so-called out...
This paper presents a fully automated algorithm for segmentation of multiple sclerosis (MS) lesions ...
International audiencePattern recognition methods, such as computer aided diagnosis (CAD) systems, c...
Medical Image processing is a vital research area in the field of medical and computing technology. ...
Abstract: This paper presents an intelligent technique particularly for MRI brain images. This intro...
International audienceAnomaly detection remains a challenging task in neuroimaging when little to no...
This paper presents a fully automated algorithm for segmentation of multiple sclerosis (MS) lesions ...
The curse of dimensionality problem occurs when the data are high-dimensional. It affects the learni...
Multiple Sclerosis (MS) is a neurodegenerative disease that is associated with brain tissue damage p...
As part of the AIDTumour research project, the analysis of MRS data corresponding to various tumour ...
In medical imaging, outliers can contain hypo/hyper-intensities, minor deformations, or completely a...