Work

Bayesian uncertainty quantification in linear models for diffusion MRI

Year: 2018

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2018.03.059

Authors: Jens Sjölund, Anders Eklund, Evren Özarslan, Magnus Herberthson, Maria Bånkestad, Hans Knutsson

Institutions: Linköping University, Elekta (Sweden), Swedish Institute of Computer Science

Language: English

Topic: Advanced Neuroimaging Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funders: University of Southern California, Stiftelsen för Strategisk Forskning, VINNOVA, Linköpings Universitet, Knut och Alice Wallenbergs Stiftelse, Vetenskapsrådet, ITEA3, National Institutes of Health, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, National Institute of Dental and Craniofacial Research

Awards: G1127560142, BENEFIT, Advanced MRI techniques for functional and stereotactic neurosurgery, Neuroimaging Analysis Center (NAC), Spectral methods for multidimensional diffusion MRI, G2753282183, G3403667087, The Human Connectome Project (HCP), Multidimensionell diffusions-MR, Learning dMRI Sequence Sets for Optimal Tissue Microstructure Imaging, G6830996671, Novel Diffusion MRI in Early Psychosis, Image Guided Therapy Center

OpenAlex ID: W2770573802

FWCI: 1.356

Cites: 69

Cited by: 17

Related to: 10