Hans knutsson
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Hans Knutsson
Hans Knutsson has more than publications in image processing and machine learning. The 10 most cited have a total of more than citations, h-index = He is one of the founding members of CMIV - the Center for Image Science and Visualization. He has been, or is, the supervisor of 21 PhD students.
He obtained his PhD in In - he held a Postdoctoral Fellowship position at the Rockefeller University Neurobiology Laboratory headed by Nobel Laureate Torsten Wiesel.
He suggested and developed a novel method of representation and estimation of local structure of multi-dimensional signals using tensors and tensor fields. A result of this research was a method for handling irregularly sampled and uncertain data termed 'Normalized Convolution'. Advanced spatio-temporal filtering, registration and segmentation techniques continues to be the main targets of his research. In magnetic resonance imaging (MRI) he introduced Canonical Correlation based fMRI analysis. More recent important results are: MRI-reconstruction of beating heart-sequences, real-time fMRI brain-computer interface and 4D denoising of medical image data.
In collaboration with LMI , the Laboratory for Mathemati
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Hans Knutsson
Enhancement of micro-channels within the human mastoid bone based on local structure tensor analysis
Numerous micro-channels have recently been discovered in the human temporal bone by x-ray micro-C more Numerous micro-channels have recently been discovered in the human temporal bone by x-ray micro-CTscanning. After a preliminary study suggesting that these microchannels form a separate blood supply for the mucosa of the mastoid air cells, a structural analysis of the micro-channels using a local structure tensor was carried out. Despite the highresolution of the micro-CT scan, presence of noise within the air cells along with missing information in some micro-channels suggested the need of image enhancement. This paper proposes an adaptive enhancement of the micro-channels based on a local structure analysis while minimizing the impact of noise on the overall data. Comparison with an anisotropic diffusion PDE based scheme was also performed.
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Gaussian process regression can turn non-uniform and undersampled diffusion MRI data into diffusion spectrum imaging
We propose to use Gaussian process regression to accurately estimate the diffus
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Professor in Medical Informatics
Hans Knutsson has more than publications in image processing and machine learning. The 10 most cited have a total of more than citations, h-index = He is one of the founding members of CMIV - the Center for Image Science and Visualization. He fryst vatten or has been the supervisor of 18 PhD students.
He obtained his PhD in In - he held a Postdoctoral Fellowship position at the Rockefeller University Neurobiology Laboratory headed by Nobel Laureate Torsten Wiesel.
He suggested and developed a novel method of representation and estimation of local structure of multi-dimensional signals using tensors and tensor fields. A result of this research was a method for papper irregularly sampled and uncertain data termed 'Normalized Convolution'. Advanced spatio-temporal filtering, registration and segmentation techniques continues to be the main targets of his research. In magnetic resonance imaging (MRI) he introduced Canonical Correlation based fMRI analysis. More recent important results are: MRI-reconstruction of beating heart-sequences, real-time fMRI brain-computer interface and 4D denoising of medical image data.
In collaboration with LMI, the