Publikacje naukowe
Publikacje 2025
AIBSD: Deep learning approach to address spatial systematic errors in diffusion tensor imaging
Źródło: Computer Methods and Programs in Biomedicine
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Diagnostic Performance of a Multi-Shell DTI Protocol and Its Subsets with B-matrix Spatial Distribution Correction in Differentiating Early Multiple Sclerosis Patients from Healthy Controls
Źródło: Frontiers in Neurology – Applied Neuroimaging
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Thalamic and cerebral white matter volumes allow for identification of cognitively impaired patients with early relapsing-remitting multiple sclerosis
Źródło: Polish Journal of Neurology and Neurosurgery
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Modelling effective diffusion for accurate NMR pore size analysis in nano- and microporous rocks
Źródło: Scientific Reports
Zobacz więcej... Konferencje 2024
The crucial aspects applying of b-matrix spatial distribution for diffusion tensor imaging of brain
Źródło: WMIC
Konferencje 2024
Comparison of the eddy current distortion correction and b-matrix spatial distribution methods for systematic bias removal in diffusion tensor imaging
Źródło: AMPERE NMR School
Konferencje 2024
Efficiency and evolution during follow-ups of diffusion tensor imaging metrics for distinguishing between groups of healthy volunteers and patients with multiple sclerosis
Źródło: ECTRIMS
Konferencje 2024
Generation of spatially variable b matrices using convolutional neural networks
Źródło: WMIC
Publikacje 2024
The effect of elimination of Gibbs ringing, noise and systematic errors on the DTI metrics and tractography in a rat brain
Źródło: Scientific Reports
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The added value of diffusion tensor imaging with systematic bias correction for the assessment of liver morphology and physiology
Źródło: NMR in Biomedicine
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