David Utriainen

Automated White Matter Hyperintensity Detection in Multiple Sclerosis Using 3D T2 FLAIR

Ying Wang, Yi Zhong, Yan Kang, 2014, Int. J. Biomed. Imaging.

A simulation model to study the role of the extracranial venous drainage pathways in intracranial hemodynamics

E. Mark Haacke, Mauro Ursino, David Utriainen, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Strategically acquired gradient echo (STAGE) imaging, part III: Technical advances and clinical applications of a rapid multi-contrast multi-parametric brain imaging method.

Feng Huang, Yu Wang, Saifeng Liu, 2019, Magnetic resonance imaging.

Semi-automatic detection of increased susceptibility in multiple sclerosis white matter lesions imaged with 1.5T MRI

Francesca Baglio, Pietro Cecconi, Maria Marcella Laganà, 2020, Biomed. Signal Process. Control..

Cerebral microbleed detection using Susceptibility Weighted Imaging and deep learning

Saifeng Liu, Shuang Xia, Lin Wang, 2019, NeuroImage.

Patients with multiple sclerosis with structural venous abnormalities on MR imaging exhibit an abnormal flow distribution of the internal jugular veins.

David Hubbard, David Utriainen, E. Haacke, 2012, Journal of vascular and interventional radiology : JVIR.

Decreased oxygen saturation in asymmetrically prominent cortical veins in patients with cerebral ischemic stroke.

Zhifeng Kou, Guangming Lu, Shuang Xia, 2014, Magnetic resonance imaging.

Susceptibility‐weighted imaging: current status and future directions

Saifeng Liu, E Mark Haacke, Shuang Xia, 2017, NMR in biomedicine.

Using magnetic resonance imaging as a means to study chronic cerebral spinal venous insufficiency in multiple sclerosis patients.

David Hubbard, David Utriainen, Saba Elias, 2012, Techniques in vascular and interventional radiology.